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doku:vsc3_gpu [2017/09/01 14:45] – sh | doku:vsc3_gpu [2018/01/16 12:57] – sh |
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The following GPU devices are available: | The following GPU devices are available: |
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^ Tesla c2050 (fermi) ^^ | |
| Total amount of global memory|2687 MBytes | | |
| (14) Multiprocessors, ( 32) CUDA Cores/MP|448 CUDA Cores | | |
| GPU Clock rate|1147 MHz | | |
| Maximum number of threads per block|1024 | | |
| Device has ECC support|Enabled | | |
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* One node, n25-009, equipped with two Tesla c2050 (fermi) GPUs. The host system includes two Intel Xeon X5650 @ 2.67GHz CPUs with 6 cores each and 24GB of RAM. | |
* Two nodes, n25-[005,006], with two Tesla k20m (kepler) GPUs each. Host systems are equipped with two Intel Xeon E5-2680 0 @ 2.70GHz each with 8 cores and 256GB of RAM. | * Two nodes, n25-[005,006], with two Tesla k20m (kepler) GPUs each. Host systems are equipped with two Intel Xeon E5-2680 0 @ 2.70GHz each with 8 cores and 256GB of RAM. |
* Two nodes, n25-[007,010], with two Tesla m60 (maxwell) GPUs each. n25-007 is equipped with 2 Intel Xeon E5-2650 v3 @ 2.30GHz, each with 10 cores and a host memory of 256GB RAM, while n25-010 features 2 Intel Xeon E5-2660 v3 @ 2.60GHz, again both with 10 cores and a host memory of 128GB RAM. | * One node, n25-007, with two Tesla m60 (maxwell) GPUs. n25-007 is equipped with 2 Intel Xeon E5-2650 v3 @ 2.30GHz, each with 10 cores and a host memory of 256GB RAM. |
* Ten nodes, n25-[011-020], with single GPUs of type GTX-1080 (pascal), where host systems are single socket 4-core Intel Xeon E5-1620 @ 3.5 GHz with 64GB RAM. | * Ten nodes, n25-[011-020], with single GPUs of type GTX-1080 (pascal), where host systems are single socket 4-core Intel Xeon E5-1620 @ 3.5 GHz with 64GB RAM. |
* Two shared-private nodes, n25-[021-022], each equipped with 8 GTX-1080 (pascal) devices hosted on dual socket 4-core Intel Xeon E5-2623 systems @ 2.6 GHz with 128GB RAM. | * Two shared-private nodes, n25-[021-022], each equipped with 8 GTX-1080 (pascal) devices hosted on dual socket 4-core Intel Xeon E5-2623 systems @ 2.6 GHz with 128GB RAM. |
[[https://github.com/NVIDIA/gdrcopy|gdrdrv]] is loaded by default (also see [[https://devtalk.nvidia.com/default/topic/919381/gdrcpy-problem/|notes]] regarding gtx1080 cards). | [[https://github.com/NVIDIA/gdrcopy|gdrdrv]] is loaded by default (also see [[https://devtalk.nvidia.com/default/topic/919381/gdrcpy-problem/|notes]] regarding gtx1080 cards). |
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==== Slurm integration ==== | ==== Slurm integration ==== |
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==== CUDA C References ==== | ==== CUDA C References ==== |
{{:doku:cuda-docu:CUDA_C_Best_Practices_Guide.pdf|CUDA C best practices}}\\ | {{:doku:cuda-docu:cuda_c_best_practices_guide.pdf|CUDA C best practices}}\\ |
{{:doku:cuda-docu:CUDA_C_Programming_Guide.pdf|CUDA C programming guide}}\\ | {{:doku:cuda-docu:cuda_c_programming_guide.pdf|CUDA C programming guide}}\\ |
{{:doku:cuda-docu:cuda-gdb.pdf|CUDA GDB user manual}}\\ | {{:doku:cuda-docu:cuda-gdb.pdf|CUDA GDB user manual}}\\ |
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==== CUDA Libraries References ==== | ==== CUDA Libraries References ==== |
{{:doku:cuda-docu:CUBLAS_Library.pdf|CUBLAS library}}\\ | {{:doku:cuda-docu:cublas_library.pdf|CUBLAS library}}\\ |
{{:doku:cuda-docu:CUFFT_Library.pdf|CUFFT library}}\\ | {{:doku:cuda-docu:cufft_library.pdf|CUFFT library}}\\ |
{{:doku:cuda-docu:CURAND_Library.pdf|CURAND library}}\\ | {{:doku:cuda-docu:curand_library.pdf|CURAND library}}\\ |
{{:doku:cuda-docu:CUSPARSE_Library.pdf|CUSPARSE library}}\\ | {{:doku:cuda-docu:cusparse_library.pdf|CUSPARSE library}}\\ |
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==== Additional Docu ==== | ==== Additional Docu ==== |
| More details found in dir ''...cuda/8.0.61/doc/pdf'' upon loading the corresponding cuda module. |
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