Abstract
An FPGA switching hub for tightly coupled accelerators (TCA) architecture called PEACH3 (PCI-Express Adaptive Communication Hub ver. 3) is evaluated and its communication speed is analyzed. PEACH3 connects a number of GPUs directly through PCI express Gen3x8 ports. The latency of inter-node GPU-GPU communication of PEACH3 was about 2.8 µ sec which is one third of that of CUDA API with MPI/Infiniband. The bandwidth was about 1.21 times of that of the previous version PEACH2, and 1.54 times of that with MPI/Infiniband for 512KB data transfer. Two application programs: BFS (breadth first search) and CG (conjugate gradient) were implemented with TCA IP and CUDA IP with MPI/Infiniband. The performance of BFS with PEACH3 was 1.16 times better than that with PEACH2, and 1.3 times better than that with MPI/Infiniband for a graph with scale = 15. In CG, for the small matrix (CLASS=S), the PEACH3 achieved 12% better performance than that with PEACH2 and 25% with MPI/Infiniband. However, since the bandwidth of PEACH3 with PCI gen3x8 is smaller than Infiniband with PCI gen3x16, the performance benefit was disappeared for CLASS=A matrix. Through the evaluation, it appears that if the data size is small, using TCA API with PEACH3 is advantageous even for intra-node communication.
Original language | English |
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Title of host publication | Proceedings of the 8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017 |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450353168 |
DOIs | |
Publication status | Published - 2017 Jun 7 |
Event | 8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017 - Bochum, Germany Duration: 2017 Jun 7 → 2017 Jun 9 |
Other
Other | 8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017 |
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Country | Germany |
City | Bochum |
Period | 17/6/7 → 17/6/9 |
Keywords
- Cluster
- GPU
- PEACH3
- TCA
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software