scholarly journals Adaptive message passing polling for energy efficiency: Application to software‐distributed shared memory over heterogeneous computing resources

2020 ◽  
Vol 32 (24) ◽  
Author(s):  
Loïc Cudennec
Keyword(s):  
Energy Efficiency ◽  
Shared Memory ◽  
Message Passing ◽  
Heterogeneous Computing ◽  
Distributed Shared Memory ◽  
Software Distributed Shared Memory

scholarly journals Towards OpenMP Execution on Software Distributed Shared Memory Systems

2002 ◽  
pp. 457-468 ◽  
Author(s):  
Ayon Basumallik ◽  
Seung-Jai Min ◽  
Rudolf Eigenmann
Keyword(s):  
Shared Memory ◽  
Distributed Shared Memory ◽  
Memory Systems ◽  
Software Distributed Shared Memory

A mathematical model to calculate real cost/performance in software distributed shared memory on computing environments

2017 ◽  
Vol 74 (4) ◽  
pp. 1715-1764 ◽  
Author(s):  
Ehsan Mousavi Khaneghah ◽  
Nosratollah Shadnoush ◽  
Amir Hossein Ghobakhlou
Keyword(s):  
Mathematical Model ◽  
Shared Memory ◽  
Distributed Shared Memory ◽  
Cost Performance ◽  
Real Cost ◽  
Computing Environments ◽  
Software Distributed Shared Memory

scholarly journals Cluster-Enabled OpenMP: An OpenMP Compiler for the SCASH Software Distributed Shared Memory System

2001 ◽  
Vol 9 (2-3) ◽  
pp. 123-130 ◽  
Author(s):  
Mitsuhisa Sato ◽  
Hiroshi Harada ◽  
Atsushi Hasegawa ◽  
Yutaka Ishikawa
Keyword(s):  
Shared Memory ◽  
Programming Model ◽  
Distributed Shared Memory ◽  
Memory System ◽  
Data Mapping ◽  
Loop Scheduling ◽  
Parallel Programming Model ◽  
Scheduling Method ◽  
Shared Memory System ◽  
Software Distributed Shared Memory

OpenMP is attracting wide-spread interest because of its easy-to-use parallel programming model for shared memory multiprocessors. We have implemented a "cluster-enabled" OpenMP compiler for a page-based software distributed shared memory system, SCASH, which works on a cluster of PCs. It allows OpenMP programs to run transparently in a distributed memory environment. The compiler transforms OpenMP programs into parallel programs using SCASH so that shared global variables are allocated at run time in the shared address space of SCASH. A set of directives is added to specify data mapping and loop scheduling method which schedules iterations onto threads associated with the data mapping. Our experimental results show that the data mapping may greatly impact on the performance of OpenMP programs in the software distributed shared memory system. The performance of some NAS parallel benchmark programs in OpenMP is improved by using our extended directives.

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