TY  - BOOK
AU  - Gorentla Venkata,Manjunath
AU  - Imam,Neena
AU  - Pophale,Swaroop
ED  - SpringerLink (Online service)
TI  - OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence: 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers 
T2  - Programming and Software Engineering
SN  - 9783319738147
AV  - QA76.758 
U1  - 005.1 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Software engineering
KW  - Computer programming
KW  - Microprocessors
KW  - Logic design
KW  - Special purpose computers
KW  - Software Engineering
KW  - Programming Techniques
KW  - Register-Transfer-Level Implementation
KW  - Logic Design
KW  - Processor Architectures
KW  - Special Purpose and Application-Based Systems
N1  - Acceso multiusuario; Symmetric Memory Partitions in OpenSHMEM: A Case Study with Intel KNL -- Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric -- Merged Requests for Better Performance and Productivity in Multithreaded OpenSHMEM -- Evaluating Contexts in OpenSHMEM-X Reference Implementation -- Parallelizing Single Source Shortest Path with OpenSHMEM -- Efficient Breadth First Search on Multi-GPU Systems Using GPU-centric OpenSHMEM -- Application-Level Optimization of On-Node Communication in OpenSHMEM.- SHMEMCache with MPI One-Sided Operation -- Balancing Performance and Portability with Containers in HPC: An OpenSHMEM Example.- Exploiting and Evaluating OpenSHMEM on KNL Architecture -- Performance Analysis of OpenSHMEM Applications with TAU Commander
N2  - This book constitutes the proceedings of the 4th OpenSHMEM Workshop, held in Annapolis, MD, USA, in August 2017. The 11 full papers presented in this book were carefully reviewed and selected from 14 submissions. The papers discuss a variety of ideas for extending the OpenSHMEM specification and making it efficient for current and next generation systems. This includes new research for communication contexts in OpenSHMEM, different optimizations for OpenSHMEM on shared memory machines, exploring the implementation of OpenSHMEM and its memory model on Intel's KNL architecture, and implementing new applications and benchmarks with OpenSHMEM. 
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-73814-7
ER  -