Refrint: intelligent refresh to minimize power in on-chip multiprocessor cache hierarchies

Jain, Prabhat

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https://hdl.handle.net/2142/34585 Copy

Description

Title

Refrint: intelligent refresh to minimize power in on-chip multiprocessor cache hierarchies

Author(s)

Jain, Prabhat

Issue Date

2012-09-18T21:26:44Z

Director of Research (if dissertation) or Advisor (if thesis)

Torrellas, Josep

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Static random-access memory (SRAM)
• Embedded dynamic random-access memory (eDRAM)
• memory hierarchy
• computer architecture
• leakage
• refresh power

Abstract

As manycores use dynamic energy ever more efficiently, static power consumption becomes a major concern. In particular, in a large manycore running at a low voltage, leakage in on-chip memory modules contributes substantially to the chip’s power draw. This is unfortunate given that, intuitively, the large multi-level cache hierarchy of a manycore is likely to contain a lot of useless data. An effective way to reduce this problem is to use a low-leakage technology such as embedded DRAM (eDRAM). However, such systems require refresh. In this paper, we examine the opportunity of minimizing on-chip memory power by intelligently refreshing a full-eDRAM cache hierarchy. We present Refrint, a simple approach to perform fine-grained, intelligent refresh of eDRAM multiprocessor cache hierarchies. We introduce the Refrint algorithms and the microarchitecture support. We evaluate Refrint in a simulated manycore running 16-threaded parallel applications. Compared to a full-SRAM system, Refrint’s memory hierarchy only consumes 36% of the SRAM’s memory hierarchy energy and induces a negligible slowdown. In contrast, a basic full-eDRAM memory hierarchy consumes 50% of the SRAM’s memory hierarchy energy and induces a slowdown of 18%.

Graduation Semester

2012-08

Permalink

http://hdl.handle.net/2142/34585

Copyright and License Information

Copyright 2012 Prabhat Jain

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