Cygnus - World First Multihybrid Accelerated Cluster with GPU and FPGA Coupling
Taisuke Boku, Norihisa Fujita, Ryohei Kobayashi, Osamu Tatebe
Abstract
In this paper, we describe the concept, system architecture, supporting system software, and applications on our world-first supercomputer with multihybrid accelerators using GPU and FPGA coupling, named Cygnus, which runs at Center for Computational Sciences, University of Tsukuba. A special group of 32 nodes is configured as a multihybrid accelerated computing system named Albireo part although Cygnus is constructed with over 80 computation nodes as a GPU-accelerated PC cluster. Each node of the Albireo part is equipped with four NVIDIA V100 GPU cards and two Intel Stratix10 FPGA cards in addition to two sockets of Intel Xeon Gold CPU where all nodes are connected by four lanes of InfiniBand HDR100 interconnection HCA in the full bisection bandwidth of NVIDIA HDR200 switches. Beside this ordinary interconnection network, all FPGA cards in Albireo part are connected by a special 2-Dimensional Torus network with direct optical links on each FPGA for constructing a very high throughput and low latency of FPGA-centric interconnection network.