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        <identifier>oai:www.ideals.illinois.edu:2142/34585</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Torrellas, Josep</dc:contributor>
          <dc:creator>Jain, Prabhat</dc:creator>
          <dc:date>2012-09-18T21:26:44Z</dc:date>
          <dc:date>2012-09-18T21:26:44Z</dc:date>
          <dc:date>2014-09-18T10:00:47Z</dc:date>
          <dc:date>2012-08</dc:date>
          <dc:date>2012-09-18T21:26:44Z</dc:date>
          <dc:date>2012-08</dc:date>
          <dc:description>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%.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-06-26T13:56:30Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:description>Item marked as restricted to the 'Administrator' Group (id=1) by Seth Robbins (srobbins@illinois.edu) on 2012-09-18T21:27:37Z
Item is restricted until 2014-09-18T21:27:16Z</dc:description>
          <dc:description>Restriction data tranferred 2014-07-01T11:35:55-05:00
Original Data
Group with Access Administrator
Release Date: 2014-09-18 16:27:16 UTC
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 34859 on 2014-09-18T10:00:47Z.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/34585</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2012 Prabhat Jain</dc:rights>
          <dc:subject>Static random-access memory (SRAM)</dc:subject>
          <dc:subject>Embedded dynamic random-access memory (eDRAM)</dc:subject>
          <dc:subject>memory hierarchy</dc:subject>
          <dc:subject>computer architecture</dc:subject>
          <dc:subject>leakage</dc:subject>
          <dc:subject>refresh power</dc:subject>
          <dc:title>Refrint: intelligent refresh to minimize power in on-chip multiprocessor cache hierarchies</dc:title>
          <degree>
            <department>Computer Science</department>
            <departmentCode>1434</departmentCode>
            <discipline>Computer Science</discipline>
            <disciplineCode>0112</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>MS:Computer Science -UIUC</program>
            <programCode>10KS0112MS</programCode>
          </degree>
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