cacophony
发表于 2025-3-28 16:55:16
Design and Evaluation of Nonblocking Collective I/O Operations,associated with developing nonblocking collective I/O operations, in order to help hiding the costs of I/O operations. We also present an implementation based on the libNBC library, and evaluate the benefits of nonblocking collective I/O over a PVFS2 file system for a micro-benchmark and a parallel
strdulate
发表于 2025-3-28 18:47:24
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ACE-inhibitor
发表于 2025-3-28 23:36:52
A uGNI-Based MPICH2 Nemesis Network Module for the Cray XE,r developing Network Modules (Netmods) for interfacing the Nemesis subsystem to various high speed network protocols. Cray has developed a user-level Generic Network Interface (uGNI) for interfacing MPI implementations to the internal high speed network of Cray XE and follow-on computer systems. Thi
完成才会征服
发表于 2025-3-29 03:20:08
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浅滩
发表于 2025-3-29 08:47:59
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颠簸下上
发表于 2025-3-29 14:29:37
Scalable Memory Use in MPI: A Case Study with MPICH2,hers believe that existing MPI implementations, if used unchanged, will themselves consume a large fraction of the available system memory at exascale. To investigate and address this issue, we undertook a study of the memory consumed by the MPICH2 implementation of MPI, with a focus on identifying
打火石
发表于 2025-3-29 16:50:35
Performance Expectations and Guidelines for MPI Derived Datatypes,on. This paper formulates . for derived datatypes. Such guidelines make performance expectations for derived datatypes explicit and suggest relevant optimizations to MPI implementers. We also identify self-consistent guidelines that are too strict to enforce, because they entail NP-hard optimization
nocturnal
发表于 2025-3-29 22:32:53
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独轮车
发表于 2025-3-30 03:11:09
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languid
发表于 2025-3-30 06:47:12
Achieving Exascale Computing through Hardware/Software Co-design,em software and algorithmic innovation is needed as well. Since both architectures and software are expected to evolve significantly there is a potential to use the co-design methodology that has been developed by the embedded computing community. A new co-design methodology for high performance computing is needed.