Adaptation and Policy-Based Resource Allocation for Efficient Bulk Data Transfers in High Performance Computing Environments

2014 ◽  
Author(s):  
Ann L. Chervenak ◽  
Alex Sim ◽  
Junmin Gu ◽  
Robert E. Schuler ◽  
Nandan Hirpathak
Keyword(s):  
Resource Allocation ◽  
High Performance Computing ◽  
High Performance ◽  
Bulk Data ◽  
Computing Environments ◽  
Data Transfers ◽  
Performance Computing

scholarly journals Wrapping FreeSurfer 6 for use in High-performance Computing Environments

GigaScience ◽  
2016 ◽  
Vol 5 (suppl_1) ◽  
Author(s):  
David G Ellis ◽  
Regina E.Y. Kim ◽  
Ipek Oguz ◽  
Hans J. Johnson
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Computing Environments ◽  
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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