A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph ...
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We build a prototype of GraFF with four custom FPGA nodes. Preliminary evaluation result based on the Breadth First Search (BFS) algorithm shows that the peak ...
Abstract—FPGA has been a promising solution for graph processing in many scenarios. With a rapid growth in graph size, the on/off-chip memory capacity of a ...
Request PDF | On Dec 5, 2022, Xu Zhang and others published GraFF: A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph Processing | Find, ...
GraVF-M is presented, a framework designed to ease the implementation of FPGA-based graph processing accelerators for multi-FPGA platforms with distributed ...
In this work, we present GraVF-M, a framework designed to ease the implementation of FPGA-based graph processing accelerators for multi-FPGA platforms with ...
Apr 25, 2024 · GraFF: A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph Processing. FPT 2022: 1-2; 2021. [c13]. view. electronic edition via ...
ForeGraph, a large-scale graph processing framework based on the multi-FPGA architecture, is proposed, which outperforms state-of-the-art FPGA-based large- ...
In this paper, we propose ForeGraph, a large-scale graph processing framework based on the multi-FPGA architecture. In ForeGraph, each FPGA board only stores a ...
GraFF: A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph Processing. X Zhang, Y Chang, T Lu, K Liu, K Zhang, M Chen. 2022 International ...
May 23, 2024 · GraFF: A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph Processing. FPT 2022: 1-2; 2021. [c7]. view. electronic edition via ...