OpenMP: Portable Multi-Level Parallelism on Modern Systems

16th International Workshop on OpenMP, IWOMP 2020, Austin, TX, USA, September 22–24, 2020, Proceedings

AvKent Milfeld,Bronis R. de Supinski

Häftad, Engelska, 2020

Del 12295 i serien Lecture Notes in Computer Science

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Beskrivning

and memory.The chapters ‘A Case Study on Addressing Complex Load Imbalance in OpenMP’ and ‘A Study of Memory Anomalies in OpenMP Applications’ are available open access under a Creative Commons Attribution 4.0 License via link.springer.com.

Produktinformation

Utgivningsdatum:2020-09-02
Mått:155 x 235 x 20 mm
Vikt:540 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:344
Förlag:Springer Nature Switzerland AG
ISBN:9783030581435

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Innehållsförteckning

Performance Methodologies.- FAROS: A Framework To Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis.- Evaluating the Effciency of OpenMP Tasking for Unbalanced Computation on Diverse CPU Architectures.- Applications.- A Case Study of Porting HPGMG from CUDA to OpenMP Target Offload.- P-Aevol: an OpenMP Parallelization of a Biological Evolution Simulator, Through Decomposition in Multiple Loops.- Evaluating Performance of OpenMP Tasks in a Seismic Stencil Application.- OpenMP Extensions.- Unified Sequential Optimization Directives in OpenMP.- Support Data Shu e Between Threads in OpenMP.- Performance Studies.- Performance Study of SpMV Towards an Auto-tuned and Task-based SpMV (LASs Library).- A Case Study on Addressing Complex Load Imbalance in OpenMP.- Tools.- On-the- y Data Race Detection with the Enhanced OpenMP Series-Parallel Graph.- AfterOMPT: An OMPT-based tool for ne-Grained Tracing of Tasks and Loops.- Co-designing OpenMP Programming Model Features with OMPT and Simulation.- NUMA.- sOMP: Simulating OpenMP Task-based Applications with NUMA Effects.- Virt ex: Automatic Adaptation to NUMA Topology Change for OpenMP Applications.- Compilation Techniques.- Using OpenMP to Detect and Speculate Dynamic DOALL Loops.- ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization.- Heterogeneous Computing.- OpenMP Device Offloading to FPGAs Using the Nymble Infrastructure.- Data Transfer and Reuse Analysis Tool for GPU-offloading Using OpenMP.- Toward Supporting Multi-GPU Targets via Taskloop and User-defined Schedules.- Memory.- Preliminary Experience with OpenMP Management Implementation Memory.- Memory Anomalies in OpenMP.