DocumentCode
3663941
Title
SLIP: Reducing wire energy in the memory hierarchy
Author
Subhasis Das;Tor M. Aamodt;William J. Dally
Author_Institution
Stanford University, USA
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
349
Lastpage
361
Abstract
Wire energy has become the major contributor to energy in large lower level caches. While wire energy is related to wire latency its costs are exposed differently in the memory hierarchy. We propose Sub-Level Insertion Policy (SLIP), a cache management policy which improves cache energy consumption by increasing the number of accesses from energy efficient locations while simultaneously decreasing intra-level data movement. In SLIP, each cache level is partitioned into several cache sublevels of differing sizes. Then, the recent reuse distance distribution of a line is used to choose an energy-optimized insertion and movement policy for the line. The policy choice is made by a hardware unit that predicts the number of accesses and inter-level movements. Using a full-system simulation including OS interactions and hardware overheads, we show that SLIP saves 35% energy at the L2 and 22% energy at the L3 level and performs 0.75% better than a regular cache hierarchy in a single core system. When configured to include a bypassing policy, SLIP reduces traffic to DRAM by 2.2%. This is achieved at the cost of storing 12b metadata per cache line (2.3% overhead), a 6b policy in the PTE, and 32b distribution metadata for each page in the DRAM (a overhead of 0.1%). Using SLIP in a multiprogrammed system saves 47% LLC energy, and reduces traffic to DRAM by 5.5%.
Keywords
"Program processors","Capacity planning"
Publisher
ieee
Conference_Titel
Computer Architecture (ISCA), 2015 ACM/IEEE 42nd Annual International Symposium on
Type
conf
DOI
10.1145/2749469.2750398
Filename
7284078
Link To Document