ThunderGP
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng‐Fai Wong, Deming Chen
Abstract
FPGA has been an emerging computing infrastructure in datacenters benefiting from features of fine-grained parallelism, energy efficiency, and reconfigurability. Meanwhile, graph processing has attracted tremendous interest in data analytics, and its performance is in increasing demand with the rapid growth of data. Many works have been proposed to tackle the challenges of designing efficient FPGA-based accelerators for graph processing. However, the largely overlooked programmability still requires hardware design expertise and sizable development efforts from developers.
Topics & Concepts
ReconfigurabilityComputer scienceField-programmable gate arrayComputer architectureEfficient energy useGraphParallelism (grammar)Embedded systemDistributed computingParallel computingOperating systemTheoretical computer scienceEngineeringElectrical engineeringGraph Theory and AlgorithmsParallel Computing and Optimization TechniquesInterconnection Networks and Systems