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Design and Implementation of a Heterogeneous High-performance Computing Framework using Dynamic and Partial Reconfigurable FPGAs

Authors: Xingjun Zhang; Yanfei Ding; Yiyuan Huang; Xiaoshe Dong;

Design and Implementation of a Heterogeneous High-performance Computing Framework using Dynamic and Partial Reconfigurable FPGAs

Abstract

Integrating reconfigurable computing with high-performance computing, exploiting reconfigurable hardware with their advantages to make up for the inadequacy of the existing high-performance computers had gradually become the high-performance computing solutions and trends. Based on comprehensively investigating the reconfigurable technologies, the paper presented a high-performance computing scheme in which the general-purpose processing nodes are connected to the dynamic partial reconfigurable computing nodes through the high-speed network. Using module-based partial reconfiguration design method, a FPGA based dynamic and partial reconfigurable computing node is designed. This node has the ability to do dynamic and partial reconfiguration and can load different computing units according to the different requirements. Dynamic partial reconfigurable computing node integrated microprocessor, memory, network interface, reconfigurable computing module, interface module are designed and implemented. The experimental results show that the system can achieve more functions with fewer resources; and the reconfigurable computing node can nicely complete the task and the system performance is effectively improved.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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