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Dip: A parallel program development environment

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-61626-8_65openalex-snapshot
PACA: A cooperative file system cache for parallel machines
inferredcites →https://doi.org/10.1007/978-3-642-58049-9_6openalex-snapshot
PVM and HeNCE: Tools for Heterogeneous Network Computing
inferredcites →https://doi.org/10.1007/bf01666906openalex-snapshot
Synthetic-perturbation tuning of MIMD programs
inferredcites →https://doi.org/10.1007/bfb0024320openalex-snapshot
Speedy: An integrated performance extrapolation tool for pC++ Programs
inferredcites →https://doi.org/10.1007/bfb0024763openalex-snapshot
Dip: A parallel program development environment
inferredcites →https://doi.org/10.1016/0263-7855(92)80055-iopenalex-snapshot
The art of computer systems performance analysis
inferredcites →https://doi.org/10.1109/2.471178openalex-snapshot
The Paradyn parallel performance measurement tool
inferredcites →https://doi.org/10.1109/52.84214openalex-snapshot
Visualizing the performance of parallel programs
inferredcites →https://doi.org/10.1145/133057.133146openalex-snapshot
PROTEUS: a high-performance parallel-architecture simulator
inferredcites →https://doi.org/10.21236/ada241343openalex-snapshot
PROTEUS: A High-Performance Parallel-Architecture Simulator
inferredcites →https://doi.org/10.21236/ada266689openalex-snapshot
Xab: A Tool for Monitoring PVM Programs
inferredcites →https://doi.org/10.2172/6428824openalex-snapshot
A proposal for a user-level, message passing interface in a distributed memory environment

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Performance Prediction of Parallel Programs using ChronosMix Environment
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Assessing contention effects of all‐to‐all communications on clusters and grids
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Modeling Network Contention Effects on All-to-All Operations
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Towards instantaneous performance analysis using coarse-grain sampled and instrumented data
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