Titlebook: Euro-Par 2018: Parallel Processing; 24th International C Marco Aldinucci,Luca Padovani,Massimo Torquati Conference proceedings 2018 Springe

Acclaim

征兵

Unsere Hoffnungen haben sich nicht erfülltd on this formalization, we developed a tool, TaskSanitizer, which detects and reports concurrent memory accesses whose tasks do not have common dependencies. Finally, TaskSanitizer works at runtime, has been able to find bugs in micro-benchmarks and it is reasonably efficient to be utilized in a working environment.

LAP

GUMP

Runtime Determinacy Race Detection for OpenMP Tasksd on this formalization, we developed a tool, TaskSanitizer, which detects and reports concurrent memory accesses whose tasks do not have common dependencies. Finally, TaskSanitizer works at runtime, has been able to find bugs in micro-benchmarks and it is reasonably efficient to be utilized in a working environment.

宣传

HPC Benchmarking: Scaling Right and Looking Beyond the Averagence and memory bandwidth should be represented in terms of the proportions of time with low, moderate and severe utilization. We show that this gives much more precise and actionable evidence than the average.

guzzle

Automatic Detection of Synchronization Errors in Codes that Target the Open Community Runtimes responsible for deleting the object, the tasks need to be synchronized to ensure that the object is only destroyed once it is no longer being used. In this paper, we present a tool which observes program execution and analyzes it in order to find cases where the required synchronization is missing.

Neutropenia

0302-9743 in, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; h

meditation

伪造

https://doi.org/10.1007/978-3-531-93071-8ot guarantee a measurement free of external influence. In this paper, we present a novel approach to estimate the impact of sporadic and high-impact interference on bulk-synchronous MPI applications. An evaluation with several realistic benchmarks shows that the impact of interference can be estimated already based on a single run.

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