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        <identifier>oai:www.ideals.illinois.edu:2142/92858</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>Gangwani, Tanmay</dc:creator>
          <dc:date>2016-11-10T17:55:16Z</dc:date>
          <dc:date>2016-11-10T17:55:16Z</dc:date>
          <dc:date>2016-07-18</dc:date>
          <dc:date>2016-08</dc:date>
          <dc:description>In multicores, performance-critical synchronization is increasingly performed in a lock-free manner using atomic instructions such as CAS or LL/SC. However, when many processors synchronize on the same variable, performance can still degrade significantly. Contending writes get serialized, creating a non-scalable condition. Past proposals that build hardware queues of synchronizing processors do not fundamentally solve this problem. At best, they help to efficiently serialize the contending writes.
We propose a novel architecture that breaks the serialization of hardware queues and enables the queued processors to perform lock-free synchronization in parallel. The architecture, called Caspar, is able to (1) execute the CASes in the queued-up processors in parallel through eager forwarding of expected values, and (2) validate the CASes in parallel and dequeue groups of processors at a time. The result is highly scalable synchronization. We evaluate Caspar with simulations of a 64-core chip. Compared to existing proposals with hardware queues, Caspar improves the throughput of kernels by 32% on average and reduces the execution time of the sections considered in lock-free versions of applications by 47% on average. This makes these sections 2.5x faster than in the original applications.</dc:description>
          <dc:description>Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms</dc:description>
          <dc:description>The student, Tanmay Gangwani, accepted the attached license on 2016-07-18 at 14:05.</dc:description>
          <dc:description>The student, Tanmay Gangwani, submitted this Thesis for approval on 2016-07-18 at 14:25.</dc:description>
          <dc:description>This Thesis was approved for publication on 2016-07-18 at 15:13.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #9975 on 2016-11-09 at 10:25:18</dc:description>
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GANGWANI-THESIS-2016.pdf: 645222 bytes, checksum: 8d88d90984ee511ebc9d7720dd30c2fc (MD5)
LICENSE.txt: 4212 bytes, checksum: 3fad0c180e8fc58bf9d82976ab8aac56 (MD5)
  Previous issue date: 2016-07-18</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/92858</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2016 Tanmay Gangwani</dc:rights>
          <dc:subject>lock-free synchronization</dc:subject>
          <dc:subject>serialization</dc:subject>
          <dc:subject>parallel programming</dc:subject>
          <dc:title>Breaking serialization in lock-free multicore synchronization</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Electrical  &amp; Computer Eng</department>
            <discipline>Electrical  &amp; Computer Engr</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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