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PGAS Communication for Heterogeneous...
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Sharma, Varun.
PGAS Communication for Heterogeneous Clusters with FPGAS.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
PGAS Communication for Heterogeneous Clusters with FPGAS./
Author:
Sharma, Varun.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:
96 p.
Notes:
Source: Masters Abstracts International, Volume: 82-06.
Contained By:
Masters Abstracts International82-06.
Subject:
Computer engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28150564
ISBN:
9798698554295
PGAS Communication for Heterogeneous Clusters with FPGAS.
Sharma, Varun.
PGAS Communication for Heterogeneous Clusters with FPGAS.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 96 p.
Source: Masters Abstracts International, Volume: 82-06.
Thesis (M.A.S.)--University of Toronto (Canada), 2020.
This item must not be sold to any third party vendors.
This work presents a heterogeneous communication library for generic clusters of processors and FPGAs. This library, Shoal, supports the partitioned global address space (PGAS) memory model for applications. PGAS is a shared memory model for clusters that creates a distinction between local and remote memory accesses. Through Shoal and its common application programming interface for hardware and software, applications can be more freely migrated to the optimal platform and deployed onto dynamic cluster topologies.The library is tested using a thorough suite of microbenchmarks to establish latency and throughput performance. We also show an implementation of the Jacobi method that demonstrates the ease with which applications can be moved between platforms to yield faster run times.
ISBN: 9798698554295Subjects--Topical Terms:
569006
Computer engineering.
Subjects--Index Terms:
API
PGAS Communication for Heterogeneous Clusters with FPGAS.
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96 p.
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Source: Masters Abstracts International, Volume: 82-06.
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Advisor: Chow, Paul.
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Thesis (M.A.S.)--University of Toronto (Canada), 2020.
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This item must not be sold to any third party vendors.
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This work presents a heterogeneous communication library for generic clusters of processors and FPGAs. This library, Shoal, supports the partitioned global address space (PGAS) memory model for applications. PGAS is a shared memory model for clusters that creates a distinction between local and remote memory accesses. Through Shoal and its common application programming interface for hardware and software, applications can be more freely migrated to the optimal platform and deployed onto dynamic cluster topologies.The library is tested using a thorough suite of microbenchmarks to establish latency and throughput performance. We also show an implementation of the Jacobi method that demonstrates the ease with which applications can be moved between platforms to yield faster run times.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28150564
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