cluster:107
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cluster:107 [2013/01/03 15:00] hmeij [ConfCall & Quote: AC] |
cluster:107 [2013/01/16 15:20] hmeij [ConfCall & Quote: MW] |
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| * What MPI flavor is used most in regards to GPU computing? | * What MPI flavor is used most in regards to GPU computing? | ||
| * Do you leverage the CPU HPC of the GPU HPC? For example, if there are 16 GPUs and 64 CPU cores on a cluster, do you allow 48 standard jobs on the idle cores? (assuming the max of 16 serial GPU jobs) | * Do you leverage the CPU HPC of the GPU HPC? For example, if there are 16 GPUs and 64 CPU cores on a cluster, do you allow 48 standard jobs on the idle cores? (assuming the max of 16 serial GPU jobs) | ||
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| + | Notes 04/01/2012 ConfCall | ||
| + | |||
| + | * Applications drive the CPU-to-GPU ratio and most will be 1-to-1, certainly not larger then 1-to-3 | ||
| + | * Users did not share GPUs but could obtain more than one, always on same node | ||
| + | * Experimental setup with 36 gb/node, dual 8 core chips | ||
| + | * Nothing larger than that memory wise as CPU and GPU HPC work environments were not mixed | ||
| + | * No raw code development | ||
| + | * Speed ups was hard to tell | ||
| + | * PGI Accelerator was used because it is needed with any Fortran code (Note!) | ||
| + | * Double precision was most important in scientific applications | ||
| + | * MPI flavor was OpenMPI, and others (including MVApich) showed no advantages | ||
| + | * Book: Programming Massively Parallel Processors, Second Edition: | ||
| + | * A Hands-on Approach by David B. Kirk and Wen-mei W. Hwu (Dec 28, 2012) | ||
| + | * Has examples of how to expose GPUs across nodes | ||
| ==== ConfCall & Quote: AC ==== | ==== ConfCall & Quote: AC ==== | ||
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| * or get 5 years total warranty | * or get 5 years total warranty | ||
| + | * Testing notes | ||
| + | * Amber, LAMMPS, NAMD | ||
| + | * cuda v4&5 | ||
| + | * install/ | ||
| + | * use gnu ... with openmpi | ||
| + | * make deviceQuery | ||
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| **[[cluster: | **[[cluster: | ||
cluster/107.txt ยท Last modified: 2013/09/11 13:18 by hmeij
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