Title :
Memory system compression and its benefits
Author :
Liu, Jiangjiang ; Mahapatra, Nihar R. ; Sundaresan, Krishnan ; Dangeti, Srinivas ; Venkatrao, Balakrishna V.
Author_Institution :
Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
This paper presents an overall analysis of the redundancy in the information (addresses, instructions, and data) stored and exchanged between the processor and the memory system and evaluates the potential of compression in improving performance, power consumption, and cost of the memory system. Analysis of traces obtained with Sun Microsystems´ Shade simulator simulating SPARC executables of nine integer and six floating-point programs in the SPEC CPU2000 benchmark suite yielded impressive results. Well-designed compression schemes may provide benefits in performance, power, and cost that far outweigh their overheads constituting extra time, logic, and power for compression and decompression. This will be more so in the future since the speed, size, and power consumption of logic (which will be used to perform compression/decompression) are improving and are projected to improve at a much higher rate compared to those of interconnect (which will be used to communicate the information), both on-chip and off-chip.
Keywords :
cache storage; data compression; redundancy; semiconductor storage; Markov models; SPEC CPU2000 benchmark suite; Shade; Sun Microsystems; cache; interconnect; memory system compression; power consumption; redundancy; Analytical models; Buffer storage; Cache storage; Costs; Delay; Energy consumption; Logic; Pins; Registers; Sun;
Conference_Titel :
ASIC/SOC Conference, 2002. 15th Annual IEEE International
Print_ISBN :
0-7803-7494-0
DOI :
10.1109/ASIC.2002.1158028