Accelerated Computing
18 Jun 2020
Yes
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No
 

PPD Accelerated Computing Facility has a number of machines with various Nvidia GPUs: Titan RTX, Titan V, Titan X and Tesla P100, as well as an Arria 10 FPGA board for OpenCL development. For access please contact Dr Abdeslem Djaoui

The machines can be used for various purposes from prototyping, benchmarking to production work using single or multiple GPUs.

The list of  hosts and their specifications follows:
HEPACC01
CPU DUAL Intel Xeon E5-26702.6GHz 8 core processors
RAM64 GB
GPU2x NVIDIA TITAN V
GPU memory 12 GB HBM2
GPU cores5120 CUDA Computing Cores (1.5 GHz Boost Clock)
HEPACC02
CPUDUAL E5-2680v4 - Intel 14 Core Xeon 2.4GHz
RAM 128 GB DDR4 Memory
GPU2x NVIDIA TITAN V
GPU memory 2x 12 GB HBM2
GPU cores 5120 CUDA Computing Cores (1.5 GHz Boost Clock)
HEPACC03
CPUDUAL E5-2640v4 - Intel 10 Core Xeon 2.4GHz
RAM128 GB DDR4
GPU 4x Tesla P100
GPU memory 4x 16 GB HBM2 memory
GPU cores3584 CUDA Computing Cores each (1.5 GHz Boost Clock)
InterconnectSXM2 NVLink interconnect between the 4 GPUs
SSD200GB
HEPACC04, HEPACC05 and HEPACC06
CPUDUAL Xeon Silver 4116 2.1GHz, 3.0GHz Turbo,12 Core
RAM192GB (24x8GB) DDR4
GPU2x Titan RTX GPU Computing Cards
GPU memory 24GB GDDR6 memory
GPU cores4608 CUDA + 576 Tensor Cores
SSDDUAL 1TB SATA
HEPACC07
CPUDUAL Intel Xeon E5-2650 v4 2.2GHz, 12 Core
RAM64 GB RDIMM
GPU2x Titan X Pascal GPU Computing Cards
GPU memory 12 GB GDDR5X
GPU cores3584 CUDA cores
SSD960GB
A number of application containers (e.g. TensorFlow) are available on each of these nodes.

The FPGA node for OpenCL development  containing a Bittware A10PL4 FPGA board is not available for general use, but access can be arranged upon request.

Contact: Djaoui, Abdeslem (STFC,RAL,PPD)