Yong-Bing Huang

Yong-Bing Huang

Auto-generated profile, based on publicly available information

Yong-Bing Huang

State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
23 March 2014 in Journal of Computer Science and Technology
Verified
Journal Article
Closed access
PDF file
LCLi-Cheng Chen
Li-Cheng Chen
MCMing-Yu Chen
Ming-Yu Chen
YRYuan Ruan
Yuan Ruan
YHYong-Bing Huang
Yong-Bing Huang
ZCZe-Han Cui
Ze-Han Cui
YBYun-Gang Bao
Yun-Gang Bao

1 January 2013 in arXiv
Verified
Preprint
Open access
PDF file
LCLicheng Chen
Licheng Chen
TLTianyue Lu
Tianyue Lu
YWYanan Wang
Yanan Wang
MCMingyu Chen
Mingyu Chen
YRYuan Ruan
Yuan Ruan
YBYungang Bao
Yungang Bao
Memory system is often the main bottleneck in chipmultiprocessor (CMP) systems in terms of latency, bandwidth and efficiency, and recently additionally facing capacity and power problems in an era of big data. A lot of research works have been done to address part of these problems, such as photonics technology for bandwidth, 3D stacking for capacity, and NVM for power as well as many micro-architecture level innovations. Many of them need a modification of current memory architecture, since the decades-old synchronous memory architecture (SDRAM) has become an obstacle to adopt those advances. However, to the best of our knowledge, none of them is able to provide a universal memory interface that is scalable enough to cover all these problems. In this paper, we argue that a message-based interface should be adopted to replace the traditional bus-based interface in memory system. A novel message interface based memory system (MIMS) is proposed. The key innovation of MIMS is that processor and memory system communicate through a universal and flexible message interface. Each message packet could contain multiple memory requests or commands along with various semantic information. The memory system is more intelligent and active by equipping with a local buffer scheduler, which is responsible to process packet, schedule memory requests, and execute specific commands with the help of semantic information. The experimental results by simulator show that, with accurate granularity message, the MIMS would improve performance by 53.21%, while reducing energy delay product (EDP) by 55.90%, the effective bandwidth utilization is improving by 62.42%. Furthermore, combining multiple requests in a packet would reduce link overhead and provide opportunity for address compression.