NASA Technical Reports Server (NTRS) : Message pdf

NASA Technical Reports Server (NTRS) : Message

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The convergence of scalable computer architectures using clusters of PCs (or PC-SMPs) with commodity networking has become an attractive platform for high end scientific computing. Currently, message-passing and shared address space (SAS) are the two leading programming paradigms for these systems. Message-passing has been standardized with MPI, and is the most common and mature programming approach. However message-passing code development can be extremely difficult, especially for irregular structured computations. SAS offers substantial ease of programming, but may suffer from performance limitations due to poor spatial locality, and high protocol overhead. In this paper, we compare the performance of and programming effort, required for six applications under both programming models on a 32 CPU PC-SMP cluster. Our application suite consists of codes that typically do not exhibit high efficiency under shared memory programming. due to their high communication to computation ratios and complex communication patterns. Results indicate that SAS can achieve about half the parallel efficiency of MPI for most of our applications: however, on certain classes of problems SAS performance is competitive with MPI.

We also present new algorithms for improving the PC cluster performance of MPI collective operations

• Creator/s: NASA Technical Reports Server (NTRS
• Date: 9/24/2000
• Year: 2000
• Book Topics/Themes: NASA Technical Reports Server (NTRS), ARCHITECTURE (COMPUTERS), MESSAGE PROCESSING, DISTRIBUTED PROCESSING, COMPUTER SYSTEMS DESIGN, COMPUTER NETWORKS, PROTOCOL (COMPUTERS), COMPUTER PROGRAMMING, PARALLEL PROCESSING (COMPUTERS), DATA PROCESSING, Shan, Hongzhang, Singh, Jaswinder Pal, Oliker, Leonid, Biswas, Rupak

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