Zeus HPC is operational. DataLake machine is still experiencing some problems.
Alex
Author Archives: admin - Page 5
Zeus HPC update
Posted by admin
on May 3, 2017
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Update on the HPC issue:
Temperature in main HPC room stabilised, I brought login nodes and main server and file servers up. Until further update from Estates about the cooling system stability in the room, most of the compute nodes in that room will be offline (that includes new Broadwell nodes)
I brought some Nehalem (half of 8-CPU nodes) and Sandybridge (12-CPU “GPU” queue) compute nodes up in unaffected by cooling failure room (zeus[100-171], zeus[200-217]), they can be used as file servers now are operational.
Regards,
Alex
Zeus down due to Room overheating
Posted by admin
on May 3, 2017
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Hi,
Zeus HPC is down due to cooling failure in the room EC3-23.
Regards,
Alex
P.S. will update you when it can come back….
MATLAB TAH License
Posted by admin
on March 29, 2017
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Important Information for Existing MATLAB and Simulink Users
Faculty of Environment, Engineering and Computing at Coventry University now offers a campus-wide license to MATLAB, Simulink, and companion toolboxes (MATLAB TAH Site License). The license covers on-campus and home software use for all instructors, staff, and researchers, as well as classroom and lab installations. Students are also covered by the campus-wide license and can install software on their home or laptop computers.
Commercial use of MathWorks products is not covered by our TAH license, so if you are using a commercial license, please continue to do so.
You may contact Alex Pedcenko (aa3025@coventry.ac.uk) with questions or issues.
Once you have associated to the TAH license, you may access MATLAB Onramp, a free interactive tutorial through MATLAB Academy to help you get started.
MathWorks offers a comprehensive collection of resources for integrating MATLAB and Simulink into your courses and research. Go to the TAH Resource Kit for video tutorials, classroom materials, webinars, and more.
To use TAH license for Matlab follow these steps:
- Create online Mathworks account http://mathworks.com/account (important: use Cov Uni e-mail address, you are not required to enter your real name when registering, it is your own choice)
- There will be confirmation e-mail sent to your Uni e-mail for your Mathworks account activation.
- To associate your Mathworks account with Uni TAH license, you will need to enter activation key. You can get the key here
- Staff W:/EC/STAFF/Mathworks/
- Students: W:/EC/STUDENT/Matlab/
- Once your account is associated with Cov Uni TAH license, you can download and install Matlab on your Computer (Windows, Mac or Linux) or use Online version of Matlab from any Internet browser on any computer (without installation) at http://matlab.mathworks.com
- If you are installing Matlab on your own computer, by the end of installation, in Activation step, enter your Online Mathworks account credentials, and your installation will be linked to our TAH site license. You will not be required to use VPN from outside the campus to use Matlab.
Alex Pedcenko
Process and Thread Affinity
Posted by admin
on March 6, 2017
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Resource Management for Multi-Core/Multi-Threaded Usage
Posted by admin
on March 6, 2017
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Zeus HPC test post
Posted by admin
on February 28, 2017
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Dear Zeus HPC users
You are receiving this post because you are on the user list of Zeus HPC (http://zeus.coventry.ac.uk). This is test post to check website communications working properly.
You can log in to the Zeus Blog (WordPress) webpage to post create posts in the “HPC Announcements” (a.k.a “HPC News” category). You can also contribute to other sections of Zeus Website (posts will be moderated beforehand)
The login password for WordPress on Zeus was generated randomly for you. You can change it if you like by navigating Zeus WordPress login page http://zeus.coventry.ac.uk/wordpress/wp-login.php and pressing “Lost Password“, you will receive the link to reset your password to your registered e-mail.
Alex Pedcenko
GPU stuff
Posted by admin
on January 6, 2017
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(“World fastest GPU accelerator” as per 2014 — http://images.nvidia.com/content/tesla/pdf/nvidia-tesla-k80-overview.pdf )
10 New Zeus HPC Broadwell-CPU based nodes have 10 x 2 Nvidia Tesla K80 GPU accelerators on board (2 per node). Theoretical performance of each K80 GPU in double precision is 2.91 TFlops (8.7 TFlop in single precision) , which gives theoretical GPU power of these nodes in order of 58 TFlop in double precision calculations.
18 Older Sandybridge CPU-based compute nodes of Zeus have 36 Nvidia Tesla K20 GPU accelerators (2 per node), each of K20 has max. theoretical performance of 1.2 TFlops (double precision), which gives overall max GPU compute power of 43 TFlop. Obviously this is just an indication of the amount of max. possible compute power at ideal scaling (realistically you can’t just add these numbers together).
In comparison HPL benchmark performed on CPUs of all new 56 Broadwell nodes (1792 CPU-cores) gave 34 Tflop and 1152 CPUs of older 8-Core Nehalem based nodes gave 9.5 TFlops. and 18 x 12-core Sandybridge CPUs produced about 3.6 TFlops. See details here: http://zeus.coventry.ac.uk/wordpress/?s=HPL
——
Alex
LS-DYNA tests on new Broadwell nodes
Posted by admin
on December 17, 2016
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MPP version of LSDYNA was tested for various CPU configurations on new Broadwell nodes vs old Nehalem 8-CPU nodes for the same problem.
SLURM file for LS-Dyna 9.1.0 submission is here lsdyna.
For 9.1.0 version of LSDYNA use
module load lsdyna/971
module load lsdyna/pmpi
| Family | Nodes | CPUs | EXEC_TIME, hrs | lsdyna ver | mpi |
| Broadwell | 1 | 32 | 06:02 | 7.1.2 | HPMPI |
| Broadwell | 1 | 16 | 09:22 | 7.1.2 | HPMPI |
| Nehalem | 2 | 16=2×8 | >12 hrs (time limit reached) | 7.1.2 | HPMPI |
| Broadwell | 2 | 32=2×16 | 05:28 | 7.1.2 | HPMPI |
| Broadwell | 4 | 64=4×16 | 02:51 | 9.1.0 | PMPI |
| Broadwell | 8 | 128=8×16 | 01:46 | 9.1.0 | PMPI |
| Broadwell | 2 | 64=2×32 | 05:08 | 9.1.0 | PMPI |
| Sandybridge | 2 | 24=2×12 | 09:30 | 7.1.3 | PMPI |
So It looks like running LSDYNA on both CPUs (16 cores) of Broadwell is really does not make the problem solve faster. Instead use just 16 CPU-cores (see 64 CPU-cores case — its 2x faster!): either all on one socket or on different ones is still remains to be tested.
Alex Pedcenko
Nodes of Zeus and HPL LINPACK tests [update Nov 2016]
Posted by admin
on December 8, 2016
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New compute nodes (Broadwell) performance (measured by HPL Linpack benchmark)
Below are results of few HPL tests on all 56 new Broadwell 32-CPU nodes as well as on all 144 old Nehalems. Netlib xhpl was compiled with intel icc and ran with Bullx mpi. Here are the results:
| # of cores | CPU model | Config | Flops achieved | theoretical |
| 1792 | Broadwell | 56 nodes | 34 Tflops | 30.1 Tflops |
| 1152 | Nehalem | 144 nodes | 9.5 Tflops | |
| 320 | Broadwell | 10 nodes | 6.523 Tflops | 5.376 Tflops |
| 32 | Broadwell | 1 node | 675 Gflops | 537.6 Gflops |
| 12 | Broadwell | 1 node | 260 Gflops | 202 Gflops |
| 204 | Sandybridge | 17 nodes (from GPU queue) | 3.3 TFlops | 3.9 TFops |
| 12 | Sandybridge | 1 node (from GPU queue) | 200 Gflops | 230 Gflops |
| 8 | Sandybridge | 1 node (48 Gb, 12 CPU-cores) | 135.6 Gflops | 76.7 |
| 8 | Nehalem | 1 node | 70.49 Gflops | 76.6 |
| 8 | Nehalem | 4 nodes x 2 cores | 70.15 Gflops | 76.6 |
| 8 | Sandybridge | 4 nodes x 2 cores | 135.6 Gflops | 76.8 |
| 8 | Nehalem | 2 floors x 2 nodes x 2 cores | 70.17 Gflops | 76.8 |
| 216 | Sandybridge | 18 nodes x 12 cores | 3.5 Tflops | — |
| 576 | Nehalem | 72 nodes x 8 cores | 4.5 Tflops | — |
| 32 | Sandybridges on SMP node | 1 nodes x 32 cores | 0.5 Tflops | — |
Test ran using bullx mpi 1.2.9
#################### 2013 results #######################
Below are some first basic HPL (linpack) results of the cluster.
We have two types of CPU’s on Zeuse’s nodes (both @2.4 GHz):
- GPU queue: 18 nodes (zeus200-217) of Intel(R) Xeon(R) CPU E5-2440 (Sandybridge) — 12 cores per node & 48 Gb of RAM, & 2x Nvidia Kepler K20 GPUs
- Default “all” queue: 144 nodes of Intel(R) Xeon(R) CPU L5530 (Nehalem) — 8 cores per node & 48 Gb of RAM
- “SMP” queue: 1 node of Intel(R) Xeon(R) CPU E5-4620 (Sandybridge)– 32 cores per node & 512 Gb RAM
| # of cores | CPU model | Config | Flops achieved | theoretical |
| 8 | Sandybridge | 1 node | 135.6 Gflops | 76.7 |
| 8 | Nehalem | 1 node | 70.49 Gflops | 76.6 |
| 8 | Nehalem | 4 nodes x 2 cores | 70.15 Gflops | 76.6 |
| 8 | Sandybridge | 4 nodes x 2 cores | 135.6 Gflops | 76.8 |
| 8 | Nehalem | 2 floors x 2 nodes x 2 cores | 70.17 Gflops | 76.8 |
| 216 | Sandybridge | 18 nodes x 12 cores | 3.5 Tflops | — |
| 576 | Nehalem | 72 nodes x 8 cores | 4.5 Tflops | — |
| 32 | Sandybridges on SMP node | 1 nodes x 32 cores | 0.5 Tflops | — |
Test ran using bullx mpi 1.2.4
Alex Pedcenko
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