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  1. Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model (PGAS '10)
  2. Introducing mNUMA: an extended PGAS architecture
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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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Introducing mNUMA: an extended PGAS architecture

Content Provider ACM Digital Library
Author Vance, Megan Kogge, Peter M.
Abstract We describe design details of a Light Weight Processing migration-NUMA architecture, a novel high performance system design that provides hardware support for a partitioned global address space, migrating subjects, and word level synchronization primitives. Using the architectural definition, combinations of structures are shown to work together to carry out basic actions such as address translation, migration, in-memory synchronization, and work management. We present results from simulation of microkernels showing that LWP-mNUMA compensates for latency with far greater memory access concurrency than possible on a conventional systems. In particular, several microkernels model tough, irregular access patterns that have limited speedups -- in certain problem areas -- to dozens of conventional processors. On these, results show speedup increasing up to 1024 multicore mNUMA processing nodes, running over 1 million threadlets.
Starting Page 1
Ending Page 10
Page Count 10
File Format PDF
ISBN 9781450304610
DOI 10.1145/2020373.2020379
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Distributed shared memory (dsm) Pgas Multi-threaded architecture
Content Type Text
Resource Type Article
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