TY - GEN
T1 - Bandwidth compression of multiple numerical data streams for high performance custom computing
AU - Ueno, Tomohiro
AU - Ito, Ryo
AU - Sano, Kentaro
AU - Yamamoto, Satoru
PY - 2014
Y1 - 2014
N2 - Bandwidth compression improves the performance of stream computing by enhancing an effective bandwidth. To apply the bandwidth compression to numerical applications such as numerical simulations, a compressor has to handle multiple data streams. In this paper, we describe a design of an FPGA-based bandwidth compressor for high performance stream computation. For synchronization of original data in multiple compressed streams with different bit-rate, we propose a data block transmission scheduler and explore a design space to reduce the size of their barrel shifters.
AB - Bandwidth compression improves the performance of stream computing by enhancing an effective bandwidth. To apply the bandwidth compression to numerical applications such as numerical simulations, a compressor has to handle multiple data streams. In this paper, we describe a design of an FPGA-based bandwidth compressor for high performance stream computation. For synchronization of original data in multiple compressed streams with different bit-rate, we propose a data block transmission scheduler and explore a design space to reduce the size of their barrel shifters.
UR - http://www.scopus.com/inward/record.url?scp=84906330399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906330399&partnerID=8YFLogxK
U2 - 10.1109/ASAP.2014.6868660
DO - 10.1109/ASAP.2014.6868660
M3 - Conference contribution
AN - SCOPUS:84906330399
SN - 9781479936090
T3 - Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors
SP - 190
EP - 191
BT - ASAP 2014 - Proceedings of the 2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2014
Y2 - 18 June 2014 through 20 June 2014
ER -