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E-raamat: OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity: 5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 21-23, 2018, Revised Selected Papers

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OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity: 5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 21-23, 2018, Revised Selected PapersSuurem pilt
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This book constitutes the proceedings of the 5th OpenSHMEM Workshop, held in Baltimore, MD, USA, in August 2018.





The 14 full papers presented in this book were carefully reviewed and selected for inclusion in this volume. The papers discuss a variety of ideas for extending the OpenSHMEM specification and discuss a variety of concepts, including interesting use of OpenSHMEM in HOOVER a distributed, flexible, and scalable streaming graph processor and scaling OpenSHMEM to handle massively parallel processor arrays. The papers are organized in the following topical sections: OpenSHMEM library extensions and implementations; OpenSHMEM use and applications; and OpenSHMEM simulators, tools, and benchmarks.
OpenSHMEM Library Extensions and Implementations.- OpenSHMEM Sets and
Groups: An Approach to Worksharing and Memory Management.- Design and
Optimization of OpenSHMEM 1.4 for the Intel® Omni-Path Fabric 100
Series.- Introducing Cray OpenSHMEMX - A Modular Multi-Communication Layer
OpenSHMEM Implementation .- An Initial Implementation of Libfabric Conduit
for OpenSHMEM-X.- The OpenFAM API: A Programming Model for Disaggregated
Persistent Memory.- SHCOLL - A Standalone Implementation of OpenSHMEM-style
Collectives API.- OpenSHMEM Use and Applications.- HOOVER: Distributed,
Flexible, and Scalable Streaming Graph Processing on OpenSHMEM.- Tumbling
Down the GraphBLAS Rabbit Hole with SHMEM.- Scaling OpenSHMEM for Massively
Parallel Processor Arrays.- Designing High-Performance In-Memory Key-Value
Operations with Persistent GPU Kernels and OpenSHMEM.- OpenSHMEM Simulators,
Tools, and Benchmarks.- Towards Lightweight and Scalable Simulation of
Large-Scale OpenSHMEM Applications.- Tracking Memory Usage in OpenSHMEM
Runtimes with the TAU Performance System.- Lightweight Instrumentation and
Analysis using OpenSHMEM Performance Counters.- Oak Ridge OpenSHMEM Benchmark
Suite.
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