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Computer ScienceOpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity: 5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 2123, 2018, Revised Selected Papers (Lecture Notes in Computer Science) (Programming and Software Engineering) cover
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OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity: 5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 2123, 2018, Revised Selected Papers (Lecture Notes in Computer Science) (Programming and Software Engineering)

By Andrea Saracino
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 G
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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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