Titlebook: Recent Advances in Parallel Virtual Machine and Message Passing Interface; 10th European PVM/MP Jack Dongarra,Domenico Laforenza,Salvatore

LEVY

Progress towards Petascale Virtual Machinesl machines. We will describe work at Oak Ridge National Lab on developing algorithms for such petascale virtual machines and the development of a simulator to test these algorithms on simulated 100,000 processor systems.

乞讨

Integrating New Capabilities into NetPIPEw NetPIPE is being enhanced to enable research in channel bonding multiple Gigabit Ethernet interfaces, to analyze InfiniBand hardware and the MPI libraries being developed for it, and to optimize memory copy routines to make SMP message-passing more efficient.

Allowance

Off-Line Performance Prediction of Message-Passing Applications on Cluster Systemsh particularly useful for preliminary performance testing of parallel code on non-available hardware. After a description of the approach and of the construction and validation of the simulation model, the paper presents a case study.

策略

0302-9743 el Virtual Machine) and MPI (Message Passing Interface) are the most frequently used tools for programming message passing applications. This volume includes the selected contributions presented at the 10th - ropean PVM/MPI Users’ Group Meeting (Euro PVM/MPI 2003), which was held in Venice, Italy, S

顽固

resuscitation

Ethics

Evaluating the Performance of MPI-2 Dynamic Communicators and One-Sided Communicationraries. We than evaluate, whether the communication performance of one-sided communication on current machines, represents a benefit or a drawback to the end-user compared to the more conventional two-sided communication.

Admire

An MPI Tool to Measure Application Sensitivity to Variation in Communication Parameterso allow greater flexibility in determining the parameter(s) to which parallel applications may be sensitive. We show that individual communication parameters can be independently controlled within a small percentage error. We also present the results of using our tool on a suite of parallel benchmarks.

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