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===GPU Hardware on Sapelo2=== | ===GPU Hardware on Sapelo2=== | ||
====GPU resources on | ====GPU resources on open-access nodes==== | ||
* 14 NVIDIA Tesla (Kepler) K20Xm GPU cards (2688 GPU cores per card). These cards are installed on 2 hosts each of which has dual 6-core Intel Xeon CPUs and 96GB of RAM; there are 7 GPU cards per host. The output of NVIDIA SDK deviceQuery for one such GPU card is | * 14 NVIDIA Tesla (Kepler) K20Xm GPU cards (2688 GPU cores per card). These cards are installed on 2 hosts each of which has dual 6-core Intel Xeon CPUs and 96GB of RAM; there are 7 GPU cards per host. The output of NVIDIA SDK deviceQuery for one such GPU card is | ||
Revision as of 08:18, 15 June 2018
GPU Hardware on Sapelo
- 16 NVIDIA K40m GPU cards. These cards are installed on 2 hosts, each of which has dual 8-core Intel Xeon CPUs and 128GB of RAM; there are 8 GPU cards per host. The output of NVIDIA SDK deviceQuery for one such GPU card is
Device 0: "Tesla K40m"
CUDA Driver Version / Runtime Version 6.5 / 6.5
CUDA Capability Major/Minor version number: 3.5
Total amount of global memory: 11520 MBytes (12079136768 bytes)
(15) Multiprocessors, (192) CUDA Cores/MP: 2880 CUDA Cores
GPU Clock rate: 745 MHz (0.75 GHz)
Memory Clock rate: 3004 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 4 / 0
Compute Mode:
< Exclusive Process (many threads in one process is able to use ::cudaSetDevice() with this device) >
GPU Hardware on Sapelo2
GPU resources on open-access nodes
- 14 NVIDIA Tesla (Kepler) K20Xm GPU cards (2688 GPU cores per card). These cards are installed on 2 hosts each of which has dual 6-core Intel Xeon CPUs and 96GB of RAM; there are 7 GPU cards per host. The output of NVIDIA SDK deviceQuery for one such GPU card is
Device 0: "Tesla K20Xm"
CUDA Driver Version / Runtime Version 9.0 / 9.0
CUDA Capability Major/Minor version number: 3.5
Total amount of global memory: 5700 MBytes (5976424448 bytes)
(14) Multiprocessors, (192) CUDA Cores/MP: 2688 CUDA Cores
GPU Max Clock rate: 732 MHz (0.73 GHz)
Memory Clock rate: 2600 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 12 / 0
Compute Mode:
< Exclusive Process (many threads in one process is able to use ::cudaSetDevice() with this device) >
GPU resources on buyin nodes
Some research groups purchased nodes with GPU card(s) for their use.
- Two nodes with Intel Xeon processors (28 CPU cores and 256GB RAM per node) have one NVIDIA Tesla (Pascal) P100 GPU card per node (3584 GPU cores per card). The output of NVIDIA SDK deviceQuery for one such GPU card is
Device 0: "Tesla P100-PCIE-16GB"
CUDA Driver Version / Runtime Version 9.0 / 9.0
CUDA Capability Major/Minor version number: 6.0
Total amount of global memory: 16276 MBytes (17066885120 bytes)
(56) Multiprocessors, ( 64) CUDA Cores/MP: 3584 CUDA Cores
GPU Max Clock rate: 1329 MHz (1.33 GHz)
Memory Clock rate: 715 Mhz
Memory Bus Width: 4096-bit
L2 Cache Size: 4194304 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 3 / 0
Compute Mode:
< Exclusive Process (many threads in one process is able to use ::cudaSetDevice() with this device) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 9.0, NumDevs = 1
Result = PASS