DocumentCode
1284194
Title
Design, Performance, and Energy Consumption of eDRAM/SRAM Macrocells for L1 Data Caches
Author
Valero, Alejandro ; Petit, Salvador ; Sahuquillo, Julio ; Lopez, Pierre ; Duato, José
Author_Institution
Dept. of Comput. Eng. (DISCA), Univ. Politec. de Valencia, Valencia, Spain
Volume
61
Issue
9
fYear
2012
Firstpage
1231
Lastpage
1242
Abstract
SRAM and DRAM have been the predominant technologies used to implement memory cells in computer systems, each one having its advantages and shortcomings. SRAM cells are faster and require no refresh since reads are not destructive. In contrast, DRAM cells provide higher density and minimal leakage energy since there are no paths within the cell from Vdd to ground. Recently, DRAM cells have been embedded in logic-based technology (eDRAM), thus overcoming the speed limit of typical DRAM cells. In this paper, we propose a hybrid n-bit macrocell that implements one SRAM cell and n-1 eDRAM cells. This cell is aimed at being used in an n-way set-associative first-level data cache. Architectural mechanisms (e.g., special writeback policies) have been devised to completely avoid refresh logic. Performance, energy, and area have been analyzed in detail. Experimental results show that using typical eDRAM capacitors, and compared to a conventional cache, a 4-way set-associative hybrid cache reduces both energy consumption and area up to 54 and 29 percent, respectively, while having negligible impact on performance (less than 2 percent).
Keywords
DRAM chips; SRAM chips; cache storage; data handling; performance evaluation; power aware computing; L1 data caches; SRAM macrocells; architectural mechanisms; computer systems; design consumption; eDRAM macrocells; embedded in logic based technology; energy consumption; hybrid n-bit macrocell; memory cells; performance consumption; Arrays; Capacitors; Macrocell networks; Program processors; Radiation detectors; Random access memory; Transistors; Retention time; static and dynamic energy; static and dynamic memory cells; way prediction.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.2011.138
Filename
5963642
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