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  1. Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model (PGAS '10)
  2. Predicting remote reuse distance patterns in UPC applications
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Predicting remote reuse distance patterns in UPC applications
Introducing OpenSHMEM: SHMEM for the PGAS community
Hybrid PGAS runtime support for multicore nodes
Asynchronous PGAS runtime for Myrinet networks
Unifying UPC and MPI runtimes: experience with MVAPICH
Introducing mNUMA: an extended PGAS architecture
Performance modeling for multilevel communication in SHMEM+
Improving UPC productivity via integrated development tools
X10-enabled MapReduce
Development and performance analysis of a UPC Particle-in-Cell code
XcalableMP implementation and performance of NAS Parallel Benchmarks
Extensible PGAS semantics for C++
An open-source compiler and runtime implementation for Coarray Fortran
Hiding latency in Coarray Fortran 2.0
Numerical Python for scalable architectures

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Predicting remote reuse distance patterns in UPC applications

Content Provider ACM Digital Library
Author Wang, W. Wang, Z. Seidel, S. Vormwald, Steven Carr, S.
Abstract Current work in high productivity parallel computing has focused attention on the class of partitioned global address space (PGAS) parallel programming languages because they promise to reduce the effort required to develop parallel application codes. An important aspect in achieving good performance in PGAS languages is effective handling of remote memory references. We extend a single-threaded reuse distance model to predict memory behavior for multi-threaded UPC applications. Our model handles changes in per-thread data size as well as changes in thread mapping due to problem size increases. Our results indicate the model provides good predictions of remote memory behavior by accurately predicting changes in remote memory reuse distance as a function of the problem size and the number of threads.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781450304610
DOI 10.1145/2020373.2020374
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Reuse distance Upc Cache
Content Type Text
Resource Type Article
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