Vector processing support for FPGA-oriented high performance applications
Document Type
Conference Proceeding
Publication Date
11-28-2007
Abstract
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor supports floating-point calculations and efficient sparse matrix operations. Dense matrix-matrix multiplication and sparse matrix-vector multiplication with benchmark matrices from various application domains were run on the system to evaluate its performance. The resulting calculation times are compared with those of a commercial PC to show the effectiveness of our approach. © 2007 IEEE.
Identifier
36349022540 (Scopus)
ISBN
[0769528961, 9780769528960]
Publication Title
Proceedings IEEE Computer Society Annual Symposium on VLSI Emerging VLSI Technologies and Architectures
External Full Text Location
https://doi.org/10.1109/ISVLSI.2007.100
First Page
447
Last Page
448
Recommended Citation
Hongyan, Yang; Shuai, Wang; Ziavras, Sotirios G.; and Jie, Hu, "Vector processing support for FPGA-oriented high performance applications" (2007). Faculty Publications. 13242.
https://digitalcommons.njit.edu/fac_pubs/13242
