Customized MMRF: Efficient Matrix Operations on SIMD Processors
Kai Zhang, Yaohua Wang, Shuming Chen, Zhentao Li, Liang Wen
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.191How to use a DOI?
- SIMD, Matrix Operations, Customize
- Wireless communication and multimedia applications feature a large amount of matrix operations with different matrix size. These operations require accessing matrix in column order. This paper implements a Multi-Grained Matrix Register File (MMRF) that supports multi-grained parallel row-wise and column-wise access. We implement a 4*4 MIMO decoding with the help of MMRF to illustrate the efficient matrix operations on SIMD processors. Experimental results show that, compared with TMS320C64x+, our SIMD processor can achieve about 5.65x to 7.71x performance improvement by employing the MMRF. By customized design technology, we reduce the area and critical-path delay of MMRF by 17.9% and 39.1% respectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Kai Zhang AU - Yaohua Wang AU - Shuming Chen AU - Zhentao Li AU - Liang Wen PY - 2013/02 DA - 2013/02 TI - Customized MMRF: Efficient Matrix Operations on SIMD Processors BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 761 EP - 764 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.191 DO - https://doi.org/10.2991/isccca.2013.191 ID - Zhang2013/02 ER -