HPC|GPU special interest subgroup releasing first results for NVIDIA GPUDirect Technology

The new HPC|GPU subgroup has been working recently to create first best practices around the new technology from NVIDIA – GPUDirect. Here is some background on GPUDirect: the system architecture of a GPU-CPU server requires the CPU to initiate and manage memory transfers between the GPU and the network. The new GPUDirect technology enables Tesla and Fermi GPUs to transfer data to pinned system memory that a RDMA capable network is able to read and send without the involvement of the CPU in the data path. The result is an increase in overall system performance and efficiency by reducing the GPU to GPU communication latency (by 30% as was published by some vendors). The HPC|GPU subgroup is first to release benchmarks results of application using GPUDirect. The application that was chosen for the testing was Amber, a molecular dynamics software package. Testing with 8 nodes cluster demonstrated up to 33% performance increase using GPUDirect. If you want to read more – check out the HPC|GPU page – http://www.hpcadvisorycouncil.com/subgroups_hpc_gpu.php.