H-SIMD machine: Configurable parallel computing for matrix multiplication

Document Type

Conference Proceeding

Publication Date

12-1-2005

Abstract

FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of data-intensive applications [1, 2], However, mapping algorithms onto multimillion-gate FPGAs is time consuming and remains a challenge in configurable system design. The communication overhead between the host workstation and the FPGAs is also significant. To address these problems, we propose in this paper the FPGA-based Hierarchical-SIMD (H-SIMD) machine with its codesign of the Hierarchical Instruction Set Architecture (HISA). At each level, HISA instructions are classified into communication instructions or computation instructions. The former are executed by the local controller while the latter are issued to the lower level for execution. Additionally, by using a memory switching scheme and the high-level HISA set to partition the application into coarse-grain tasks, the host-FPGA communication overhead can be hidden. We enlist matrix multiplication (MM) to test the effectiveness of H-SIMD. The test results show sustained high performance. © 2005 IEEE.

Identifier

33645239602 (Scopus)

ISBN

[0769524516, 9780769524511]

Publication Title

Proceedings IEEE International Conference on Computer Design VLSI in Computers and Processors

External Full Text Location

https://doi.org/10.1109/ICCD.2005.62

ISSN

10636404

First Page

671

Last Page

676

Volume

2005

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