Effective Automatic Computation Placement and Data Allocation for Parallelization of Regular Programs

Effective Automatic Computation Placement and Data Allocation for Parallelization of Regular Programs

Scientific applications that operate on large data sets require huge amount of computation power and memory. These applications are typically run on High Performance Computing (HPC) systems that consist of multiple compute nodes, connected over an network interconnect such as InfiniBand. Each compute...

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Bibliographic Details
Main Author: Chandan, G
Other Authors: Bondhugula, Uday
Language:en_US
Published: 2018
Subjects:
High Performance Computing Systems
Computer Placement
Data Analysis and Management
Distributed-memory
Automatic Parallelization
Data-distribution
Polyhedral Model
Computation Placement
Hyperplanes and Polyhedra
HPC Systems
Data Allocation and Management
Data Movement Code Generation
Computer Science
Online Access:http://hdl.handle.net/2005/3111
http://etd.ncsi.iisc.ernet.in/abstracts/3971/G26343-Abs.pdf

Internet

http://hdl.handle.net/2005/3111
http://etd.ncsi.iisc.ernet.in/abstracts/3971/G26343-Abs.pdf

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