Title :
SPaC: A segment-based parallel compression for backup acceleration in nonvolatile processors
Author :
Sheng, Xiao ; Wang, Yiqun ; Liu, Yongpan ; Yang, Huazhong
Author_Institution :
Tsinghua National Laboratory for Information Science and Technology, Dept. of EE Tsinghua Univ. Beijing, 100084, China
Abstract :
Nonvolatile processor (NVP) has become an emerging topic in recent years. The conventional NV processor equips each flip-flop with a nonvolatile storage for data backup, which results in much faster backup speed with significant area overheads. A compression based architecture (PRLC) solved the area problem but with a nontrivial increasing on backup time. This paper provides a segment-based parallel compression (SPaC) architecture to achieve tradeoffs between area and backup speed. Furthermore, we use an off-line and online hybrid method to balance the workloads of different compression modules in SPaC. Experimental results show that SPaC can achieve 76% speed up against PRLC and meanwhile reduces the area by 16% against conventional NV processors.
Keywords :
Clocks; Computer architecture; Heuristic algorithms; Nonvolatile memory; Partitioning algorithms; Program processors; Registers;
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013
Conference_Location :
Grenoble, France
Print_ISBN :
978-1-4673-5071-6
DOI :
10.7873/DATE.2013.182