Maximizing Effectiveness of a High-Performance Computing Grid by Using the DASE Protocol

2019 ◽  
Author(s):  
Jaylan S. Jones ◽  
Alex I. Scherling ◽  
Tyler M. Allen ◽  
Terril N. Hurst
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Computing Grid ◽  
Performance Computing

ChemInform Abstract: Hydra: A Self Regenerating High Performance Computing Grid for Drug Discovery.

ChemInform ◽  
2008 ◽  
Vol 39 (29) ◽  
Author(s):  
Drew Bullard ◽  
Alberto Gobbi ◽  
Matthew A. Lardy ◽  
Charles Perkins ◽  
Zach Little
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Computing Grid ◽  
Performance Computing

scholarly journals A Comparative Study: Taxonomy of High Performance Computing (HPC)

2018 ◽  
Vol 8 (5) ◽  
pp. 3386
Author(s):  
Ranjit Rajak
Keyword(s):  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Cluster Computing ◽  
Market Demand ◽  
Huge Data ◽  
Computing Grid ◽  
Software And Hardware ◽  
The Cost ◽  
Performance Computing

The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.

Variational optimization for global climate analysis on ESA's high performance computing grid

2008 ◽  
Vol 112 (4) ◽  
pp. 1450-1463 ◽  
Author(s):  
A LOSCHER ◽  
C RETSCHER ◽  
L FUSCO ◽  
P GONCALVES ◽  
F BRITO ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Global Climate ◽  
Variational Optimization ◽  
Computing Grid ◽  
Climate Analysis ◽  
Performance Computing

scholarly journals Transparent Integration of Opportunistic Resources into the WLCG Compute Infrastructure

2021 ◽  
Vol 251 ◽  
pp. 02039
Author(s):  
Michael Böhler ◽  
René Caspart ◽  
Max Fischer ◽  
Oliver Freyermuth ◽  
Manuel Giffels ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
World Wide ◽  
The Core ◽  
The World ◽  
Virtualization Technology ◽  
Core Components ◽  
Computing Grid ◽  
New Challenges ◽  
Performance Computing

The inclusion of opportunistic resources, for example from High Performance Computing (HPC) centers or cloud providers, is an important contribution to bridging the gap between existing resources and future needs by the LHC collaborations, especially for the HL-LHC era. However, the integration of these resources poses new challenges and often needs to happen in a highly dynamic manner. To enable an effective and lightweight integration of these resources, the tools COBalD and TARDIS are developed at KIT. In this contribution we report on the infrastructure we use to dynamically offer opportunistic resources to collaborations in the World Wide LHC Computing Grid (WLCG). The core components are COBalD/TARDIS, HTCondor, CVMFS and modern virtualization technology. The challenging task of managing the opportunistic resources is performed by COBalD/TARDIS. We showcase the challenges, employed solutions and experiences gained with the provisioning of opportunistic resources from several resource providers like university clusters, HPC centers and cloud setups in a multi VO environment. This work can serve as a blueprint for approaching the provisioning of resources from other resource providers.

Hydra: A Self Regenerating High Performance Computing Grid for Drug Discovery

2008 ◽  
Vol 48 (4) ◽  
pp. 811-816 ◽  
Author(s):  
Drew Bullard ◽  
Alberto Gobbi ◽  
Matthew A. Lardy ◽  
Charles Perkins ◽  
Zach Little
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Computing Grid ◽  
Performance Computing

The Recent Revolution in High Performance Computing

MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
New Technologies ◽  
New Technology ◽  
Parallel Architecture ◽  
Time Frame ◽  
Good News ◽  
Computing Industry ◽  
Time And Energy ◽  
Performance Computing

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.

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