Tags
infrastructure
A guide to using Apocrita's scratch storage
The Apocrita scratch storage is a high performance storage system designed for short-term file storage, such as working data. We recently replaced the hardware that provides this service, and expanded the capacity from 250TB to around 450TB. This article will look at the recent changes, and suggest some best practices when using the scratch system.
in news, Jun 24, 2021
Cluster update summary
As part of our commitment to providing stable and manageable systems, here is a round-up of some recent updates we have been working on behind the scenes:
in news, Jun 12, 2019
Storage Upgrade June 2019
Apocrita Research Data Storage: Notice of “at risk” period
in news, Jun 12, 2019
New high performance storage for scratch data
We are pleased to announce a new scratch storage array that is based on fast NvME based hardware. This will hopefully make I/O related tasks much faster
in news, Mar 20, 2019
Performance testing with NVMe storage and Spectrum Scale 5
We have recently procured 120TB of NVMe based SSD storage from E8 Storage for the Apocrita HPC Cluster. The plan is to deploy this to replace our oldest and slowest provision of scratch storage.
in article, Dec 19, 2018
Cluster Hardware Upgrades and Additions
As part of our commitment to regular upgrades to the HPC service, and to keep up with ever-growing demand, we are pleased to announce the addition of new hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.
in news, Dec 04, 2018
AI tools
QMUL have access to powerful Tier 2 (formerly known as Regional) HPC resources, predominantly for EPSRC researchers. If you run multi-node parallel code (using MPI, for example), you will likely benefit from using the Tier2 clusters.
in news, Sep 15, 2018
Decommissioning of ccn nodes
The ccn nodes have been removed to make way for the new sdv nodes. The nodes were very old, had become unreliable, and were an inefficient use of space and power.
in news, Apr 05, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
1PB added storage
We recently added an additional petabyte of storage, it is necessary to move all files to the new storage to benefit from improved performance.
in news, Mar 20, 2017
storage
Migrating to a new research storage system
As the current 2 PetaByte Research Data Storage on Apocrita reaches end of life this summer, we have procured a new storage system, providing 5PB of capacity. This means faster, bigger and cheaper storage for you, the researcher! Read on to discover the benefits…but first, an important notice.
in news, Jun 27, 2022
File Permissions
An understanding of file permissions is important to the success of computational jobs, and the security of your files.
in tutorial, Jan 10, 2022
A guide to using Apocrita's scratch storage
The Apocrita scratch storage is a high performance storage system designed for short-term file storage, such as working data. We recently replaced the hardware that provides this service, and expanded the capacity from 250TB to around 450TB. This article will look at the recent changes, and suggest some best practices when using the scratch system.
in news, Jun 24, 2021
Comparing common compression tools using real-world data
Compression tools can significantly reduce the amount of disk space consumed by your data. In this two-part article, we will look at the effectiveness of some compression tools on real-world data sets, make some recommendations, and perhaps persuade you that compression is worth the effort.
in article, Oct 10, 2019
Cluster update summary
As part of our commitment to providing stable and manageable systems, here is a round-up of some recent updates we have been working on behind the scenes:
in news, Jun 12, 2019
Storage Upgrade June 2019
Apocrita Research Data Storage: Notice of “at risk” period
in news, Jun 12, 2019
New high performance storage for scratch data
We are pleased to announce a new scratch storage array that is based on fast NvME based hardware. This will hopefully make I/O related tasks much faster
in news, Mar 20, 2019
Performance testing with NVMe storage and Spectrum Scale 5
We have recently procured 120TB of NVMe based SSD storage from E8 Storage for the Apocrita HPC Cluster. The plan is to deploy this to replace our oldest and slowest provision of scratch storage.
in article, Dec 19, 2018
Cluster Hardware Upgrades and Additions
As part of our commitment to regular upgrades to the HPC service, and to keep up with ever-growing demand, we are pleased to announce the addition of new hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.
in news, Dec 04, 2018
Home and Group Directories
During the summer, home directories were migrated to the new storage platform. This means that quotas have grown slightly as the underlying block size has increased.
in news, Sep 15, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
1PB added storage
We recently added an additional petabyte of storage, it is necessary to move all files to the new storage to benefit from improved performance.
in news, Mar 20, 2017
upgrade
Migrating to a new research storage system
As the current 2 PetaByte Research Data Storage on Apocrita reaches end of life this summer, we have procured a new storage system, providing 5PB of capacity. This means faster, bigger and cheaper storage for you, the researcher! Read on to discover the benefits…but first, an important notice.
in news, Jun 27, 2022
Apocrita newsletter - March 2020
Here is a round-up of recent QMUL HPC cluster news from the ITS Research team, including information about new compute nodes.
in news, Mar 01, 2020
Cluster update summary
As part of our commitment to providing stable and manageable systems, here is a round-up of some recent updates we have been working on behind the scenes:
in news, Jun 12, 2019
GitHub Enterprise Upgrade 2.16
On Wednesday 2019-02-20 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.16.2, which includes bug fixes and the latest security updates.
in news, Feb 14, 2019
GitHub Enterprise Upgrade 2.15
On Wednesday 2018-11-21 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.15.2, which includes bug fixes and the latest security updates.
in news, Nov 19, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
1PB added storage
We recently added an additional petabyte of storage, it is necessary to move all files to the new storage to benefit from improved performance.
in news, Mar 20, 2017
containers
Python performance in containers
Singularity is a container solution designed for HPC. Due to the secure and simple design, it can be easily used to provide applications for use with HPC clusters where other containers, such as Docker would not be suitable.
in article, Jul 03, 2017
benchmarking
Performance testing with NVMe storage and Spectrum Scale 5
We have recently procured 120TB of NVMe based SSD storage from E8 Storage for the Apocrita HPC Cluster. The plan is to deploy this to replace our oldest and slowest provision of scratch storage.
in article, Dec 19, 2018
Python performance in containers
Singularity is a container solution designed for HPC. Due to the secure and simple design, it can be easily used to provide applications for use with HPC clusters where other containers, such as Docker would not be suitable.
in article, Jul 03, 2017
python
Visualising HEALPix results with Jupyter Notebook
In this tutorial we’ll be showing you how to visualise HEALPix results using Jupyter Notebook in our OnDemand appliance on the Apocrita HPC cluster. We’ll start with installing the required Python packages before demonstrating how to run the Healpy tutorial
in tutorial, Mar 07, 2022
Jigsaws with GIMP and Python
Jigsaw puzzles proved wildly popular during lockdown, but they weren’t all done on the dining room table on rainy afternoons. The puzzle faced by researchers from the School of English and Drama (SED), lead by Dr Richard Coulton and in collaboration with the Natural History Museum, was to piece together a set of beautiful botanical watercolours brought back from China...
in rse, Aug 03, 2021
Faster Fast Fourier Transforms in Python
A little while ago, we were approached by a researcher from the School of Mathematical Sciences with the classic request of “I’d like my code to run more quickly”. They were simulating a ball bouncing around a billiard table over the course of millions of collisions and analysing patterns in the path of the ball (this type of problem is...
in rse, Jun 11, 2021
Python performance in containers
Singularity is a container solution designed for HPC. Due to the secure and simple design, it can be easily used to provide applications for use with HPC clusters where other containers, such as Docker would not be suitable.
in article, Jul 03, 2017
applications
Speeding Up Grep Searches
Sometimes you may find yourself needing to filter a large amount of output using the grep command. However, grep can sometimes struggle when you try to filter files with an incredibly large number of lines, as it loads each line into RAM line-by-line. This can mean you can quickly exhaust even large amounts of requested RAM. There are a few...
in tutorial, Oct 27, 2022
R Tutorial Part Two - R vs RStudio
Following up from part one of our R tutorial we’ll be taking a look at the differences between R - the command-line language which can be loaded as a module and used in your Apocrita batch jobs - and Rstudio - the graphical development environment, accessed via a web server and provided via the OnDemand service.
in tutorial, Aug 11, 2022
R Tutorial Part One - Top Tips
The ITSR support team often receive tickets from R users that cover similar ground. So we thought we would collate our most frequent responses into some “Top Tips”! The tips below apply equally to Rscript but this article only covers the interactive R program.
in tutorial, Jul 06, 2022
Modules Update December 2021
Since the last module update in December 2019, we have:
in modules, Jan 06, 2022
Modules Update December 2019
Since the last module update in August, we have added 23 modules to dev, added 22 modules to production and removed 4 modules.
in modules, Dec 11, 2019
Modules Update August 2019
Since the last update in April, we have updated the following module files:
in modules, Aug 09, 2019
Modules Update April 2019
Since the last update in March, we have updated the following module files:
in modules, Apr 26, 2019
NAG Fortran compiler available on Apocrita for SEF
We have installed the NAG Fortran compiler on Apocrita for use by researchers from the School of Economics and Finance. In this post we look at how to access the compiler, why we may want to use it, and what we have to pay special attention to.
in news, Mar 18, 2019
Modules Update March 2019
Since the last update (on 29/11/2018), we have updated the following module files:
in modules, Mar 11, 2019
Update of environment modules to version 4.2.1
We have deployed the latest version of Environment Modules (4.2.1) across the cluster on all frontend and compute nodes.
in modules, Jan 18, 2019
ppc64le own modules
You may now load private ppc64le modules after loading the use.own module on nodes with POWER9 processors. Private modules must be placed in the directory ${HOME}/privatemodules_ppc64le, which will be created if it does not exist upon loading the use.own module.
in modules, Dec 12, 2018
Development modules update
We have moved the following modules from dev to deprecated:
in modules, Nov 29, 2018
AI tools
For the increasing number of Researchers working with Deep Learning technologies, we also have the existing GPU nodes attached to Apocrita. Tensorflow is available, and we are working on adding more machine learning tools.
in news, Sep 15, 2018
Deprecated modules
We removed some problematic module files. Please check your job scripts for use of these modules:
in news, Sep 15, 2018
Short queue
Please note that frontend/login nodes are for preparing and submitting your job scripts and running computational tasks directly on the frontend nodes is forbidden, since it can impair the use of the node for the 100+ other users logged in.
in news, Sep 15, 2018
Deprecated openmpi 2.0.2-gcc module
We identified a problem with the openmpi/2.0.2-gcc module and have removed it as the correct interface was not being used for the MPI communication between nodes. This resulted in potentially much slower communication and consequently jobs taking longer to run.
in modules, Apr 05, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
Python performance in containers
Singularity is a container solution designed for HPC. Due to the secure and simple design, it can be easily used to provide applications for use with HPC clusters where other containers, such as Docker would not be suitable.
in article, Jul 03, 2017
hpc
Migrating to a new research storage system
As the current 2 PetaByte Research Data Storage on Apocrita reaches end of life this summer, we have procured a new storage system, providing 5PB of capacity. This means faster, bigger and cheaper storage for you, the researcher! Read on to discover the benefits…but first, an important notice.
in news, Jun 27, 2022
Using job statistics to increase job performance and reduce queueing time
You may wonder why some jobs start immediately but some wait in the queue for hours or days, even if your job is quite simple. If you notice your job has been queueing for a while, you may want to consider adjusting the requested resources to reduce queueing time and reduce any potential resource wastage as the job runs. Below,...
in tutorial, Jun 15, 2022
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
SSH authentication and regaining access to Apocrita
In response to a coordinated security attack on HPC sites world-wide, it has been necessary to implement some changes to enforce a higher level of authentication security. In this article, we begin with providing some useful information to understand key-based authentication, and document the process for regaining access to the cluster; SSH keys and passwords were revoked for all users...
in tutorial, Jun 12, 2020
ITS Research FAQ regarding use of services during COVID-19 pandemic
As a result of the large-scale shift to remote working due to the COVID-19 pandemic, we have been asked various questions relating to computational research, which we’ll try to address below. We’ve seen an increase in the number of new account requests for the HPC service, and we realise there will be quite a few users wishing to run workloads...
in news, Mar 19, 2020
Apocrita newsletter - March 2020
Here is a round-up of recent QMUL HPC cluster news from the ITS Research team, including information about new compute nodes.
in news, Mar 01, 2020
Productivity tips for Apocrita cluster users
This article presents a selection of useful tips for running successful and well-performing jobs on the QMUL Apocrita cluster.
in tutorial, Oct 23, 2019
Comparing common compression tools using real-world data
Compression tools can significantly reduce the amount of disk space consumed by your data. In this two-part article, we will look at the effectiveness of some compression tools on real-world data sets, make some recommendations, and perhaps persuade you that compression is worth the effort.
in article, Oct 10, 2019
Simplification of parallel queues on Apocrita
We are simplifying the way that the multi-node parallel jobs are run on the cluster.
in news, Jun 27, 2019
Sizing your Apocrita jobs for quicker results
At any one time, a typical HPC cluster is usually full. This is not such a bad thing, since it means the substantial investment is working hard for the money, rather than sitting idle. A less ideal situation is having to wait too long to get your research results. However, jobs are constantly starting and finishing, and many new jobs...
in tutorial, Jan 28, 2019
Cluster Hardware Upgrades and Additions
As part of our commitment to regular upgrades to the HPC service, and to keep up with ever-growing demand, we are pleased to announce the addition of new hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.
in news, Dec 04, 2018
Short queue
Please note that frontend/login nodes are for preparing and submitting your job scripts and running computational tasks directly on the frontend nodes is forbidden, since it can impair the use of the node for the 100+ other users logged in.
in news, Sep 15, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
Midplus Consortium
The Midlands Plus consortium have now deployed a new 14,000 core cluster, located in Loughborough. You can hear more about this from your local institution.
in news, Jul 11, 2017
tier2
AI tools
QMUL have access to powerful Tier 2 (formerly known as Regional) HPC resources, predominantly for EPSRC researchers. If you run multi-node parallel code (using MPI, for example), you will likely benefit from using the Tier2 clusters.
in news, Sep 15, 2018
Midplus Consortium
The Midlands Plus consortium have now deployed a new 14,000 core cluster, located in Loughborough. You can hear more about this from your local institution.
in news, Jul 11, 2017
nodes
Apocrita newsletter - March 2020
Here is a round-up of recent QMUL HPC cluster news from the ITS Research team, including information about new compute nodes.
in news, Mar 01, 2020
Cluster update summary
As part of our commitment to providing stable and manageable systems, here is a round-up of some recent updates we have been working on behind the scenes:
in news, Jun 12, 2019
Cluster Hardware Upgrades and Additions
As part of our commitment to regular upgrades to the HPC service, and to keep up with ever-growing demand, we are pleased to announce the addition of new hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.
in news, Dec 04, 2018
POWER servers
QMUL installed two IBM AC922 POWER 9 servers to support research into deep learning and artificial intelligence, the first of their kind in UK HE. These servers come with a suite of customised Machine learning tools such as TensorFlow and Caffe. We are currently running a pilot scheme with a select group of users, with a view to opening up...
in news, Sep 15, 2018
Decommissioning of ccn nodes
The ccn nodes have been removed to make way for the new sdv nodes. The nodes were very old, had become unreliable, and were an inefficient use of space and power.
in news, Apr 05, 2018
New cluster announcement
We are pleased to announce that the new cluster is available for general use. This has been a large project, involving the following:
in news, Jul 11, 2017
modules
Modules Update December 2021
Since the last module update in December 2019, we have:
in modules, Jan 06, 2022
Modules Update December 2019
Since the last module update in August, we have added 23 modules to dev, added 22 modules to production and removed 4 modules.
in modules, Dec 11, 2019
Modules Update August 2019
Since the last update in April, we have updated the following module files:
in modules, Aug 09, 2019
Modules Update April 2019
Since the last update in March, we have updated the following module files:
in modules, Apr 26, 2019
Modules Update March 2019
Since the last update (on 29/11/2018), we have updated the following module files:
in modules, Mar 11, 2019
Update of environment modules to version 4.2.1
We have deployed the latest version of Environment Modules (4.2.1) across the cluster on all frontend and compute nodes.
in modules, Jan 18, 2019
ppc64le own modules
You may now load private ppc64le modules after loading the use.own module on nodes with POWER9 processors. Private modules must be placed in the directory ${HOME}/privatemodules_ppc64le, which will be created if it does not exist upon loading the use.own module.
in modules, Dec 12, 2018
Development modules update
We have moved the following modules from dev to deprecated:
in modules, Nov 29, 2018
Deprecated modules
We removed some problematic module files. Please check your job scripts for use of these modules:
in news, Sep 15, 2018
Deprecated openmpi 2.0.2-gcc module
We identified a problem with the openmpi/2.0.2-gcc module and have removed it as the correct interface was not being used for the MPI communication between nodes. This resulted in potentially much slower communication and consequently jobs taking longer to run.
in modules, Apr 05, 2018
deprecated
Development modules update
We have moved the following modules from dev to deprecated:
in modules, Nov 29, 2018
Deprecated modules
We removed some problematic module files. Please check your job scripts for use of these modules:
in news, Sep 15, 2018
Deprecated openmpi 2.0.2-gcc module
We identified a problem with the openmpi/2.0.2-gcc module and have removed it as the correct interface was not being used for the MPI communication between nodes. This resulted in potentially much slower communication and consequently jobs taking longer to run.
in modules, Apr 05, 2018
mpi
Intel Parallel Studio XE 2020 update 4
The Intel Parallel Studio XE Cluster Edition 2020 update 4 suite is now installed and available on Apocrita. This release will be the last of the Parallel Studio releases we support, as Intel is moving to its “oneAPI” model of bundling.
in rse, Apr 22, 2021
Simplification of parallel queues on Apocrita
We are simplifying the way that the multi-node parallel jobs are run on the cluster.
in news, Jun 27, 2019
AI tools
QMUL have access to powerful Tier 2 (formerly known as Regional) HPC resources, predominantly for EPSRC researchers. If you run multi-node parallel code (using MPI, for example), you will likely benefit from using the Tier2 clusters.
in news, Sep 15, 2018
Deprecated openmpi 2.0.2-gcc module
We identified a problem with the openmpi/2.0.2-gcc module and have removed it as the correct interface was not being used for the MPI communication between nodes. This resulted in potentially much slower communication and consequently jobs taking longer to run.
in modules, Apr 05, 2018
decommission
Decommissioning of ccn nodes
The ccn nodes have been removed to make way for the new sdv nodes. The nodes were very old, had become unreliable, and were an inefficient use of space and power.
in news, Apr 05, 2018
queues
Using job statistics to increase job performance and reduce queueing time
You may wonder why some jobs start immediately but some wait in the queue for hours or days, even if your job is quite simple. If you notice your job has been queueing for a while, you may want to consider adjusting the requested resources to reduce queueing time and reduce any potential resource wastage as the job runs. Below,...
in tutorial, Jun 15, 2022
Productivity tips for Apocrita cluster users
This article presents a selection of useful tips for running successful and well-performing jobs on the QMUL Apocrita cluster.
in tutorial, Oct 23, 2019
Sizing your Apocrita jobs for quicker results
At any one time, a typical HPC cluster is usually full. This is not such a bad thing, since it means the substantial investment is working hard for the money, rather than sitting idle. A less ideal situation is having to wait too long to get your research results. However, jobs are constantly starting and finishing, and many new jobs...
in tutorial, Jan 28, 2019
Short queue
Please note that frontend/login nodes are for preparing and submitting your job scripts and running computational tasks directly on the frontend nodes is forbidden, since it can impair the use of the node for the 100+ other users logged in.
in news, Sep 15, 2018
ppc64le
ppc64le own modules
You may now load private ppc64le modules after loading the use.own module on nodes with POWER9 processors. Private modules must be placed in the directory ${HOME}/privatemodules_ppc64le, which will be created if it does not exist upon loading the use.own module.
in modules, Dec 12, 2018
POWER servers
QMUL installed two IBM AC922 POWER 9 servers to support research into deep learning and artificial intelligence, the first of their kind in UK HE. These servers come with a suite of customised Machine learning tools such as TensorFlow and Caffe. We are currently running a pilot scheme with a select group of users, with a view to opening up...
in news, Sep 15, 2018
ai
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
AI tools
For the increasing number of Researchers working with Deep Learning technologies, we also have the existing GPU nodes attached to Apocrita. Tensorflow is available, and we are working on adding more machine learning tools.
in news, Sep 15, 2018
POWER servers
QMUL installed two IBM AC922 POWER 9 servers to support research into deep learning and artificial intelligence, the first of their kind in UK HE. These servers come with a suite of customised Machine learning tools such as TensorFlow and Caffe. We are currently running a pilot scheme with a select group of users, with a view to opening up...
in news, Sep 15, 2018
gpu
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
AI tools
For the increasing number of Researchers working with Deep Learning technologies, we also have the existing GPU nodes attached to Apocrita. Tensorflow is available, and we are working on adding more machine learning tools.
in news, Sep 15, 2018
github
GitHub Enterprise Maintenance 02/05/2019
On Thursday 02/05/2019 at 10:00 the GitHub Enterprise instance will be taken down for maintenance to increase the disk capacity that contains user data as it is currently over 80% full.
in news, Apr 26, 2019
GitHub Enterprise Upgrade 2.16
On Wednesday 2019-02-20 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.16.2, which includes bug fixes and the latest security updates.
in news, Feb 14, 2019
GitHub Enterprise Upgrade 2.15
On Wednesday 2018-11-21 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.15.2, which includes bug fixes and the latest security updates.
in news, Nov 19, 2018
maintenance
Storage Upgrade June 2019
Apocrita Research Data Storage: Notice of “at risk” period
in news, Jun 12, 2019
GitHub Enterprise Maintenance 02/05/2019
On Thursday 02/05/2019 at 10:00 the GitHub Enterprise instance will be taken down for maintenance to increase the disk capacity that contains user data as it is currently over 80% full.
in news, Apr 26, 2019
GitHub Enterprise Upgrade 2.16
On Wednesday 2019-02-20 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.16.2, which includes bug fixes and the latest security updates.
in news, Feb 14, 2019
GitHub Enterprise Upgrade 2.15
On Wednesday 2018-11-21 at 14:00 we will be applying an upgrade to our GitHub Enterprise instance to version 2.15.2, which includes bug fixes and the latest security updates.
in news, Nov 19, 2018
dev
Modules Update December 2021
Since the last module update in December 2019, we have:
in modules, Jan 06, 2022
Modules Update December 2019
Since the last module update in August, we have added 23 modules to dev, added 22 modules to production and removed 4 modules.
in modules, Dec 11, 2019
Modules Update August 2019
Since the last update in April, we have updated the following module files:
in modules, Aug 09, 2019
Modules Update April 2019
Since the last update in March, we have updated the following module files:
in modules, Apr 26, 2019
Modules Update March 2019
Since the last update (on 29/11/2018), we have updated the following module files:
in modules, Mar 11, 2019
Development modules update
We have moved the following modules from dev to deprecated:
in modules, Nov 29, 2018
networking
Cluster Hardware Upgrades and Additions
As part of our commitment to regular upgrades to the HPC service, and to keep up with ever-growing demand, we are pleased to announce the addition of new hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.
in news, Dec 04, 2018
featured
Using job statistics to increase job performance and reduce queueing time
You may wonder why some jobs start immediately but some wait in the queue for hours or days, even if your job is quite simple. If you notice your job has been queueing for a while, you may want to consider adjusting the requested resources to reduce queueing time and reduce any potential resource wastage as the job runs. Below,...
in tutorial, Jun 15, 2022
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
SSH authentication and regaining access to Apocrita
In response to a coordinated security attack on HPC sites world-wide, it has been necessary to implement some changes to enforce a higher level of authentication security. In this article, we begin with providing some useful information to understand key-based authentication, and document the process for regaining access to the cluster; SSH keys and passwords were revoked for all users...
in tutorial, Jun 12, 2020
Productivity tips for Apocrita cluster users
This article presents a selection of useful tips for running successful and well-performing jobs on the QMUL Apocrita cluster.
in tutorial, Oct 23, 2019
Comparing common compression tools using real-world data
Compression tools can significantly reduce the amount of disk space consumed by your data. In this two-part article, we will look at the effectiveness of some compression tools on real-world data sets, make some recommendations, and perhaps persuade you that compression is worth the effort.
in article, Oct 10, 2019
Sizing your Apocrita jobs for quicker results
At any one time, a typical HPC cluster is usually full. This is not such a bad thing, since it means the substantial investment is working hard for the money, rather than sitting idle. A less ideal situation is having to wait too long to get your research results. However, jobs are constantly starting and finishing, and many new jobs...
in tutorial, Jan 28, 2019
What is the ITSR RSE team?
ITS Research has a Research Software Engineering team. This post introduces the team and how it supports research in Queen Mary University of London. You can also see how to contact the team and why you may want to.
in rse, Dec 10, 2018
rse
RSE team activities up to June 2022
The RSE team in ITS Research has had a busy few years since we started sharing our work in this blog. In this post we look at some highlights of recent activity and what we have to look forward to.
in rse, Jun 27, 2022
Assessing code quality with the NAG Fortran compiler
The NAG Fortran compiler, like other compilers, has diagnostic capabilities which can help us write correct and portable Fortran programs. In this post we’ll look at these, comparing with those of the GCC and Intel compilers, and see how the compiler can be a valuable tool when developing or maintaining Fortran code.
in rse, May 20, 2022
Using compiler options to help debug programs
Once we’ve written a program more advanced than our “Hello, world!” example, we’re going to make mistakes. In this post, we’ll look at how we can use the very compilers we’re using to compile our program to pick up on some of these mistakes.
in rse, May 11, 2022
Introducing Sherman Lo, RSE
Hello! I am Sherman and I have just joined the RSE team at Queen Mary. Glad to meet you all!
in rse, Jan 26, 2022
Introductory computing skills for researchers: Software Carpentry with RSLondon
Research Software London is a community to support the use and development of research software in London and the South East. Since 2019, RSLondon has run a number of Software Carpentry workshops to teach introductory computing skills to researchers. ITSR have been involved in these efforts, providing instructors and helpers at each of these workshops.
in rse, Dec 16, 2021
Comparison of Python Distributions on Apocrita
When it comes to picking a distribution, Python programmers are spoilt for choice. We’re going to compare two of the most popular (CPython and Anaconda) and one that promises big performance improvements with relatively little hassle (Intel Distribution for Python).
in rse, Dec 01, 2021
Jigsaws with GIMP and Python
Jigsaw puzzles proved wildly popular during lockdown, but they weren’t all done on the dining room table on rainy afternoons. The puzzle faced by researchers from the School of English and Drama (SED), lead by Dr Richard Coulton and in collaboration with the Natural History Museum, was to piece together a set of beautiful botanical watercolours brought back from China...
in rse, Aug 03, 2021
Using Apocrita's GPUs with OpenMP
On Apocrita we can use OpenMP to execute code on GPU devices. This post looks at how to compile such programs and submit them to run on the GPU nodes. The post assumes that you have code, already developed and tested, which is ready for deployment, and that you have been granted access to the GPU nodes.
in rse, Jul 02, 2021
Faster Fast Fourier Transforms in Python
A little while ago, we were approached by a researcher from the School of Mathematical Sciences with the classic request of “I’d like my code to run more quickly”. They were simulating a ball bouncing around a billiard table over the course of millions of collisions and analysing patterns in the path of the ball (this type of problem is...
in rse, Jun 11, 2021
Parameterized derived types in Fortran - introduction
User-defined data types in Fortran may have parameters which control certain aspects of their definition. In this post we look at what these parameterized types are, how they are used and what benefits they may offer to the programmer.
in rse, Sep 10, 2020
Introducing Iain Stenson, RSE
Hello. I’m Iain, the newest recruit to the QMUL ITSR RSE team. We are the group of software engineers within ITS Research who help people at Queen Mary write readable, correct and high-performance research software.
in rse, Jul 13, 2020
When good compilers go bad
Many people rely on compilers, for languages such as C, C++ and Fortran, to create executable programs from source code. Just like our source code, compilers themselves may have bugs. In this post we look at common forms of compiler bug, with examples, and what we can do when our work is affected by such an issue.
in rse, Dec 16, 2019
Getting REAL with Fortran
Fortran provides a variety of intrinsic representations of real numbers. In this post we look at what these representations are and how we choose a particular representation for our work.
in rse, Jun 12, 2019
Using Ford to document Fortran programs
Ford is a tool which can help document Fortran source code. Here we show how to use Ford and the value of automatic documentation generation.
in rse, Dec 19, 2018
What is the ITSR RSE team?
ITS Research has a Research Software Engineering team. This post introduces the team and how it supports research in Queen Mary University of London. You can also see how to contact the team and why you may want to.
in rse, Dec 10, 2018
introduction
RSE team activities up to June 2022
The RSE team in ITS Research has had a busy few years since we started sharing our work in this blog. In this post we look at some highlights of recent activity and what we have to look forward to.
in rse, Jun 27, 2022
Introducing Sherman Lo, RSE
Hello! I am Sherman and I have just joined the RSE team at Queen Mary. Glad to meet you all!
in rse, Jan 26, 2022
Introducing Iain Stenson, RSE
Hello. I’m Iain, the newest recruit to the QMUL ITSR RSE team. We are the group of software engineers within ITS Research who help people at Queen Mary write readable, correct and high-performance research software.
in rse, Jul 13, 2020
What is the ITSR RSE team?
ITS Research has a Research Software Engineering team. This post introduces the team and how it supports research in Queen Mary University of London. You can also see how to contact the team and why you may want to.
in rse, Dec 10, 2018
scratch
A guide to using Apocrita's scratch storage
The Apocrita scratch storage is a high performance storage system designed for short-term file storage, such as working data. We recently replaced the hardware that provides this service, and expanded the capacity from 250TB to around 450TB. This article will look at the recent changes, and suggest some best practices when using the scratch system.
in news, Jun 24, 2021
New high performance storage for scratch data
We are pleased to announce a new scratch storage array that is based on fast NvME based hardware. This will hopefully make I/O related tasks much faster
in news, Mar 20, 2019
Performance testing with NVMe storage and Spectrum Scale 5
We have recently procured 120TB of NVMe based SSD storage from E8 Storage for the Apocrita HPC Cluster. The plan is to deploy this to replace our oldest and slowest provision of scratch storage.
in article, Dec 19, 2018
documentation
Using Ford to document Fortran programs
Ford is a tool which can help document Fortran source code. Here we show how to use Ford and the value of automatic documentation generation.
in rse, Dec 19, 2018
fortran
Assessing code quality with the NAG Fortran compiler
The NAG Fortran compiler, like other compilers, has diagnostic capabilities which can help us write correct and portable Fortran programs. In this post we’ll look at these, comparing with those of the GCC and Intel compilers, and see how the compiler can be a valuable tool when developing or maintaining Fortran code.
in rse, May 20, 2022
Parameterized derived types in Fortran - introduction
User-defined data types in Fortran may have parameters which control certain aspects of their definition. In this post we look at what these parameterized types are, how they are used and what benefits they may offer to the programmer.
in rse, Sep 10, 2020
When good compilers go bad
Many people rely on compilers, for languages such as C, C++ and Fortran, to create executable programs from source code. Just like our source code, compilers themselves may have bugs. In this post we look at common forms of compiler bug, with examples, and what we can do when our work is affected by such an issue.
in rse, Dec 16, 2019
Getting REAL with Fortran
Fortran provides a variety of intrinsic representations of real numbers. In this post we look at what these representations are and how we choose a particular representation for our work.
in rse, Jun 12, 2019
NAG Fortran compiler available on Apocrita for SEF
We have installed the NAG Fortran compiler on Apocrita for use by researchers from the School of Economics and Finance. In this post we look at how to access the compiler, why we may want to use it, and what we have to pay special attention to.
in news, Mar 18, 2019
Using Ford to document Fortran programs
Ford is a tool which can help document Fortran source code. Here we show how to use Ford and the value of automatic documentation generation.
in rse, Dec 19, 2018
tutorial
Speeding Up Grep Searches
Sometimes you may find yourself needing to filter a large amount of output using the grep command. However, grep can sometimes struggle when you try to filter files with an incredibly large number of lines, as it loads each line into RAM line-by-line. This can mean you can quickly exhaust even large amounts of requested RAM. There are a few...
in tutorial, Oct 27, 2022
R Tutorial Part Two - R vs RStudio
Following up from part one of our R tutorial we’ll be taking a look at the differences between R - the command-line language which can be loaded as a module and used in your Apocrita batch jobs - and Rstudio - the graphical development environment, accessed via a web server and provided via the OnDemand service.
in tutorial, Aug 11, 2022
R Tutorial Part One - Top Tips
The ITSR support team often receive tickets from R users that cover similar ground. So we thought we would collate our most frequent responses into some “Top Tips”! The tips below apply equally to Rscript but this article only covers the interactive R program.
in tutorial, Jul 06, 2022
Using job statistics to increase job performance and reduce queueing time
You may wonder why some jobs start immediately but some wait in the queue for hours or days, even if your job is quite simple. If you notice your job has been queueing for a while, you may want to consider adjusting the requested resources to reduce queueing time and reduce any potential resource wastage as the job runs. Below,...
in tutorial, Jun 15, 2022
Assessing code quality with the NAG Fortran compiler
The NAG Fortran compiler, like other compilers, has diagnostic capabilities which can help us write correct and portable Fortran programs. In this post we’ll look at these, comparing with those of the GCC and Intel compilers, and see how the compiler can be a valuable tool when developing or maintaining Fortran code.
in rse, May 20, 2022
Using compiler options to help debug programs
Once we’ve written a program more advanced than our “Hello, world!” example, we’re going to make mistakes. In this post, we’ll look at how we can use the very compilers we’re using to compile our program to pick up on some of these mistakes.
in rse, May 11, 2022
Visualising HEALPix results with Jupyter Notebook
In this tutorial we’ll be showing you how to visualise HEALPix results using Jupyter Notebook in our OnDemand appliance on the Apocrita HPC cluster. We’ll start with installing the required Python packages before demonstrating how to run the Healpy tutorial
in tutorial, Mar 07, 2022
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
Faster Fast Fourier Transforms in Python
A little while ago, we were approached by a researcher from the School of Mathematical Sciences with the classic request of “I’d like my code to run more quickly”. They were simulating a ball bouncing around a billiard table over the course of millions of collisions and analysing patterns in the path of the ball (this type of problem is...
in rse, Jun 11, 2021
Remote development on Apocrita with Visual Studio Code
Visual Studio Code (VS Code) is an open-source and lightweight text editor from Microsoft, and distinctly different from Visual Studio. In this short tutorial we aim to set up VS Code for remote interfacing and development on Apocrita, to edit, save, and manipulate our files and directories.
in rse, Feb 08, 2021
SSH authentication and regaining access to Apocrita
In response to a coordinated security attack on HPC sites world-wide, it has been necessary to implement some changes to enforce a higher level of authentication security. In this article, we begin with providing some useful information to understand key-based authentication, and document the process for regaining access to the cluster; SSH keys and passwords were revoked for all users...
in tutorial, Jun 12, 2020
Apocrita says Hello, world!: basic use of our cluster
A common first program to write in a new language is a “Hello world” example where we print a simple line of output. In this tutorial we first look at examples written in C, C++ and Fortran. To run the examples we’ll learn about interactive sessions on compute nodes, modules and compiling source code. We’ll also look at examples in...
in rse, Feb 12, 2020
When good compilers go bad
Many people rely on compilers, for languages such as C, C++ and Fortran, to create executable programs from source code. Just like our source code, compilers themselves may have bugs. In this post we look at common forms of compiler bug, with examples, and what we can do when our work is affected by such an issue.
in rse, Dec 16, 2019
Productivity tips for Apocrita cluster users
This article presents a selection of useful tips for running successful and well-performing jobs on the QMUL Apocrita cluster.
in tutorial, Oct 23, 2019
Sizing your Apocrita jobs for quicker results
At any one time, a typical HPC cluster is usually full. This is not such a bad thing, since it means the substantial investment is working hard for the money, rather than sitting idle. A less ideal situation is having to wait too long to get your research results. However, jobs are constantly starting and finishing, and many new jobs...
in tutorial, Jan 28, 2019
announcement
NAG Fortran compiler available on Apocrita for SEF
We have installed the NAG Fortran compiler on Apocrita for use by researchers from the School of Economics and Finance. In this post we look at how to access the compiler, why we may want to use it, and what we have to pay special attention to.
in news, Mar 18, 2019
compilers
When good compilers go bad
Many people rely on compilers, for languages such as C, C++ and Fortran, to create executable programs from source code. Just like our source code, compilers themselves may have bugs. In this post we look at common forms of compiler bug, with examples, and what we can do when our work is affected by such an issue.
in rse, Dec 16, 2019
NAG Fortran compiler available on Apocrita for SEF
We have installed the NAG Fortran compiler on Apocrita for use by researchers from the School of Economics and Finance. In this post we look at how to access the compiler, why we may want to use it, and what we have to pay special attention to.
in news, Mar 18, 2019
coding
Getting REAL with Fortran
Fortran provides a variety of intrinsic representations of real numbers. In this post we look at what these representations are and how we choose a particular representation for our work.
in rse, Jun 12, 2019
compression
Comparing common compression tools using real-world data
Compression tools can significantly reduce the amount of disk space consumed by your data. In this two-part article, we will look at the effectiveness of some compression tools on real-world data sets, make some recommendations, and perhaps persuade you that compression is worth the effort.
in article, Oct 10, 2019
misc
Christmas Closure 2021
Please note that due to college closure for Christmas, there will be minimal customer support after Tuesday 21st Dec 2021 until the college re-opens on the 4th January 2022. Please exercise awareness of any impact your jobs may be having during this time, and practice good cluster etiquette. Any support tickets raised during this period will be dealt with on...
in news, Dec 07, 2021
Christmas Closure 2019
Please note that due to college closure for Christmas, there will be minimal customer support after Monday 23rd Dec 2019 until the college re-opens on the 2nd January 2020. Please exercise awareness of any impact your jobs may be having during this time, and practice good cluster etiquette. Any support tickets raised during this period will be dealt with on...
in news, Dec 20, 2019
beginner
Apocrita says Hello, world!: basic use of our cluster
A common first program to write in a new language is a “Hello world” example where we print a simple line of output. In this tutorial we first look at examples written in C, C++ and Fortran. To run the examples we’ll learn about interactive sessions on compute nodes, modules and compiling source code. We’ll also look at examples in...
in rse, Feb 12, 2020
compilation
Assessing code quality with the NAG Fortran compiler
The NAG Fortran compiler, like other compilers, has diagnostic capabilities which can help us write correct and portable Fortran programs. In this post we’ll look at these, comparing with those of the GCC and Intel compilers, and see how the compiler can be a valuable tool when developing or maintaining Fortran code.
in rse, May 20, 2022
Using compiler options to help debug programs
Once we’ve written a program more advanced than our “Hello, world!” example, we’re going to make mistakes. In this post, we’ll look at how we can use the very compilers we’re using to compile our program to pick up on some of these mistakes.
in rse, May 11, 2022
Intel Parallel Studio XE 2020 update 4
The Intel Parallel Studio XE Cluster Edition 2020 update 4 suite is now installed and available on Apocrita. This release will be the last of the Parallel Studio releases we support, as Intel is moving to its “oneAPI” model of bundling.
in rse, Apr 22, 2021
Apocrita says Hello, world!: basic use of our cluster
A common first program to write in a new language is a “Hello world” example where we print a simple line of output. In this tutorial we first look at examples written in C, C++ and Fortran. To run the examples we’ll learn about interactive sessions on compute nodes, modules and compiling source code. We’ll also look at examples in...
in rse, Feb 12, 2020
faq
ITS Research FAQ regarding use of services during COVID-19 pandemic
As a result of the large-scale shift to remote working due to the COVID-19 pandemic, we have been asked various questions relating to computational research, which we’ll try to address below. We’ve seen an increase in the number of new account requests for the HPC service, and we realise there will be quite a few users wishing to run workloads...
in news, Mar 19, 2020
language-features
Parameterized derived types in Fortran - introduction
User-defined data types in Fortran may have parameters which control certain aspects of their definition. In this post we look at what these parameterized types are, how they are used and what benefits they may offer to the programmer.
in rse, Sep 10, 2020
apocrita
Using Apocrita's GPUs with OpenMP
On Apocrita we can use OpenMP to execute code on GPU devices. This post looks at how to compile such programs and submit them to run on the GPU nodes. The post assumes that you have code, already developed and tested, which is ready for deployment, and that you have been granted access to the GPU nodes.
in rse, Jul 02, 2021
Remote development on Apocrita with Visual Studio Code
Visual Studio Code (VS Code) is an open-source and lightweight text editor from Microsoft, and distinctly different from Visual Studio. In this short tutorial we aim to set up VS Code for remote interfacing and development on Apocrita, to edit, save, and manipulate our files and directories.
in rse, Feb 08, 2021
visual studio code
Remote development on Apocrita with Visual Studio Code
Visual Studio Code (VS Code) is an open-source and lightweight text editor from Microsoft, and distinctly different from Visual Studio. In this short tutorial we aim to set up VS Code for remote interfacing and development on Apocrita, to edit, save, and manipulate our files and directories.
in rse, Feb 08, 2021
news
Intel Parallel Studio XE 2020 update 4
The Intel Parallel Studio XE Cluster Edition 2020 update 4 suite is now installed and available on Apocrita. This release will be the last of the Parallel Studio releases we support, as Intel is moving to its “oneAPI” model of bundling.
in rse, Apr 22, 2021
openmp
Using Apocrita's GPUs with OpenMP
On Apocrita we can use OpenMP to execute code on GPU devices. This post looks at how to compile such programs and submit them to run on the GPU nodes. The post assumes that you have code, already developed and tested, which is ready for deployment, and that you have been granted access to the GPU nodes.
in rse, Jul 02, 2021
cpu
Using Apocrita's GPUs with OpenMP
On Apocrita we can use OpenMP to execute code on GPU devices. This post looks at how to compile such programs and submit them to run on the GPU nodes. The post assumes that you have code, already developed and tested, which is ready for deployment, and that you have been granted access to the GPU nodes.
in rse, Jul 02, 2021
scheme
Jigsaws with GIMP and Python
Jigsaw puzzles proved wildly popular during lockdown, but they weren’t all done on the dining room table on rainy afternoons. The puzzle faced by researchers from the School of English and Drama (SED), lead by Dr Richard Coulton and in collaboration with the Natural History Museum, was to piece together a set of beautiful botanical watercolours brought back from China...
in rse, Aug 03, 2021
tensorflow
Running Machine Learning workloads on Apocrita
In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPC cluster. We will expand upon the essentials provided on the QMUL HPC docs site, and provide more explanation of the process. We’ll start with software installation before demonstrating a simple task and a more complex real-world example that you...
in tutorial, Oct 14, 2021
training
Introductory computing skills for researchers: Software Carpentry with RSLondon
Research Software London is a community to support the use and development of research software in London and the South East. Since 2019, RSLondon has run a number of Software Carpentry workshops to teach introductory computing skills to researchers. ITSR have been involved in these efforts, providing instructors and helpers at each of these workshops.
in rse, Dec 16, 2021
code review
One year of code review club with the William Harvey Research Institute
Over the past year, researchers from QMUL’s William Harvey Research Institute (WHRI) have engaged on a collaborative code review club. Through this collaborative effort the group aims to peer review the computational components of their research and provide code quality assurance to all involved researchers. Additionally, the Research Software Engineering group of ITS Research has been assisting the group with...
in rse, Dec 21, 2021
WHRI
One year of code review club with the William Harvey Research Institute
Over the past year, researchers from QMUL’s William Harvey Research Institute (WHRI) have engaged on a collaborative code review club. Through this collaborative effort the group aims to peer review the computational components of their research and provide code quality assurance to all involved researchers. Additionally, the Research Software Engineering group of ITS Research has been assisting the group with...
in rse, Dec 21, 2021
crucible
One year of code review club with the William Harvey Research Institute
Over the past year, researchers from QMUL’s William Harvey Research Institute (WHRI) have engaged on a collaborative code review club. Through this collaborative effort the group aims to peer review the computational components of their research and provide code quality assurance to all involved researchers. Additionally, the Research Software Engineering group of ITS Research has been assisting the group with...
in rse, Dec 21, 2021
ondemand
R Tutorial Part Two - R vs RStudio
Following up from part one of our R tutorial we’ll be taking a look at the differences between R - the command-line language which can be loaded as a module and used in your Apocrita batch jobs - and Rstudio - the graphical development environment, accessed via a web server and provided via the OnDemand service.
in tutorial, Aug 11, 2022
Visualising HEALPix results with Jupyter Notebook
In this tutorial we’ll be showing you how to visualise HEALPix results using Jupyter Notebook in our OnDemand appliance on the Apocrita HPC cluster. We’ll start with installing the required Python packages before demonstrating how to run the Healpy tutorial
in tutorial, Mar 07, 2022
jupyter
Visualising HEALPix results with Jupyter Notebook
In this tutorial we’ll be showing you how to visualise HEALPix results using Jupyter Notebook in our OnDemand appliance on the Apocrita HPC cluster. We’ll start with installing the required Python packages before demonstrating how to run the Healpy tutorial
in tutorial, Mar 07, 2022
R
Speeding up and Parallelising R packages (using Rcpp and C++)
Polytomous variables can be used to model data that has two or more possible outcomes. For example, a survey with multiple-choice questions is polytomous. The R package, poLCA, does statistical clustering of polytomous variables. For example, grouping together survey results that are similar to each other.
in rse, Jun 13, 2022
C++
Speeding up and Parallelising R packages (using Rcpp and C++)
Polytomous variables can be used to model data that has two or more possible outcomes. For example, a survey with multiple-choice questions is polytomous. The R package, poLCA, does statistical clustering of polytomous variables. For example, grouping together survey results that are similar to each other.
in rse, Jun 13, 2022
optimisation
Speeding up and Parallelising R packages (using Rcpp and C++)
Polytomous variables can be used to model data that has two or more possible outcomes. For example, a survey with multiple-choice questions is polytomous. The R package, poLCA, does statistical clustering of polytomous variables. For example, grouping together survey results that are similar to each other.
in rse, Jun 13, 2022
r
R Tutorial Part Two - R vs RStudio
Following up from part one of our R tutorial we’ll be taking a look at the differences between R - the command-line language which can be loaded as a module and used in your Apocrita batch jobs - and Rstudio - the graphical development environment, accessed via a web server and provided via the OnDemand service.
in tutorial, Aug 11, 2022
R Tutorial Part One - Top Tips
The ITSR support team often receive tickets from R users that cover similar ground. So we thought we would collate our most frequent responses into some “Top Tips”! The tips below apply equally to Rscript but this article only covers the interactive R program.
in tutorial, Jul 06, 2022
grep
Speeding Up Grep Searches
Sometimes you may find yourself needing to filter a large amount of output using the grep command. However, grep can sometimes struggle when you try to filter files with an incredibly large number of lines, as it loads each line into RAM line-by-line. This can mean you can quickly exhaust even large amounts of requested RAM. There are a few...
in tutorial, Oct 27, 2022
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