QP: A Heterogeneous Multi-Accelerator Cluster
Michael T. Showerman, Jeremy Enos, Avneesh Pant, Volodymyr Kindratenko, Craig Steffen, Robert R. Pennington, Wen‐mei Hwu · 2011
We present a heterogeneous multi-accelerator cluster developed and deployed at NCSA. The cluster consists of 16 AMD dual-core CPU compute nodes each with four NVIDIA GPUs and one Xilinx FPGA. Cluster nodes are interconnected with both InfiniBand and Ethernet networks. The software stack consists of standard cluster tools with the addition of accelerator-specific software packages and enhancements to the resource allocation and batch sub-systems. We highlight several HPC applications that have been developed and deployed on the cluster. We also present our Phoenix application development framework that is meant to help with developing new applications and migrating existing legacy codes to heterogeneous systems.