Testing and Performance Analysis of FCA Algorithm Accelerating IBM Platform MPI

2014 ◽  
Vol 539 ◽  
pp. 429-433
Author(s):  
Lin Feng Zhang ◽  
Lei Chen
Keyword(s):  
Performance Analysis ◽  
High Performance Computing ◽  
Shared Memory ◽  
High Performance ◽  
New Method ◽  
Computing Environment ◽  
Collective Communications ◽  
And Performance ◽  
Performance Computing

MPI is one of the important standards in high performance computing. MPI performance is generally focused on collective communications. And FCA (Fabric Collective Accelerator) is a new method accelerating collective communications. Through high performance computing environment testing, this paper mainly analyses the result of FCA with shared memory and without share memory accelerating IBM Platform MPI, FCA's principle and integration between IBM Platform MPI and FCA. At the same time, this paper may be a good reference for high performance computing using FCA.

Simulating Sonic Scanner responses in an interactive Web‐based High Performance Computing environment

2008 ◽  
Vol 123 (5) ◽  
pp. 3373-3373
Author(s):  
Valery Polyakov ◽  
Henri‐Pierre Valero ◽  
Dzevat Omeragic ◽  
Raymond L. Kocian ◽  
Tarek M. Habashy ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Computing Environment ◽  
Web Based ◽  
Performance Computing

scholarly journals High-performance computing environment: a review of twenty years of experiments in China

2016 ◽  
Vol 3 (1) ◽  
pp. 36-48 ◽  
Author(s):  
Zhiwei Xu ◽  
Xuebin Chi ◽  
Nong Xiao
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
The Internet ◽  
Computing Environment ◽  
Open Problems ◽  
Loosely Coupled ◽  
The Past ◽  
Important Open Problem ◽  
Computing Environments ◽  
Performance Computing

Abstract A high-performance computing environment, also known as a supercomputing environment, e-Science environment or cyberinfrastructure, is a crucial system that connects users’ applications to supercomputers, and provides usability, efficiency, sharing, and collaboration capabilities. This review presents important lessons drawn from China's nationwide efforts to build and use a high-performance computing environment over the past 20 years (1995–2015), including three observations and two open problems. We present evidence that such an environment helps to grow China's nationwide supercomputing ecosystem by orders of magnitude, where a loosely coupled architecture accommodates diversity. An important open problem is why technology for global networked supercomputing has not yet become as widespread as the Internet or Web. In the next 20 years, high-performance computing environments will need to provide zettaflops computing capability and 10 000 times better energy efficiency, and support seamless human-cyber-physical ternary computing.

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