Results 221 to 230 of about 498,375 (267)

Incorporating parallelism and high performance computing into computer science courses

2015 IEEE Frontiers in Education Conference (FIE), 2015
This work describes research, efforts, and outcomes for several Computer Science courses after incorporating XSEDE High Performance Computing (HPC) Resources and recommended and required curriculum additions from the ACM 2013 Computer Science Curricula and IEEE Technical Committee on Parallel Processing Curriculum Guidelines.
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High Performance Computing in Science and Engineering

17th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'05), 2006
High performance computing has gradually shifted from the realm of research into development and partially even into the production cycles of industry. High performance computers therefore have to be integrated into production environments that demand the simultaneous solution of multidisciplinary physics problems.
Peter W. Haas, Michael M. Resch
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A Review on High Performance Computing and Computational Science

Tuijin Jishu/Journal of Propulsion Technology, 2023
(HPC) is an approach that combines computing power to solve complex High-performance computing problems in science, engineering and business, and provides far greater productivity than a typical desktop or workstation to solve the problem of computing encourage Hardware, software programs, algorithms, languages, architectures etc.
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Reconfigurable Computing for High Performance Computing Computational Science

2007 DoD High Performance Computing Modernization Program Users Group Conference, 2007
Parallel computing systems with thousands of processors are now common and more affordable due to the focus on clustered commodity processors. However, both market and physical factors are converging that will limit the performance of these systems in the future.
S. Park, B. Henz, D. Shires
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Students' performance on computer science tasks and their predictors

Proceedings of the 15th Workshop on Primary and Secondary Computing Education, 2020
We offer a quantitative, yet partial perspective on CS education with multiple tasks belonging to the field of CS and their predictive factors. The results show how different predictors work for different tasks. The paper may offer insights into how CS education can be individualised and inspire new research into different directions.
Claudia Hildebrandt, Matthias Matzner
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Gender and Performance in Computer Science

ACM Transactions on Computing Education, 2016
The term gender gap refers to the significant underrepresentation of females in many subjects. In Computer Science, the gender gap exists at all career levels. In this article, we study whether there is a performance gap in addition to the gender gap.
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Predicting performance in an introductory computer science course

Communications of the ACM, 1985
A group of 269 first-semester freshmen was used to predict both performance in an introductory computer science course and first-semester college grade point average by using information regarding the students' programs and performance in high school along with American College Testing Program (ACT) test scores.
D. F. Butcher, W. A. Muth
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Virtual High Performance Computing Environments for Science Computing On-Demand

2011 Sixth Annual Chinagrid Conference, 2011
Science computing environment dynamic construction based on virtualization technology can be benefit in performance isolation, on-demand creation and resource controls. This paper has focused on approach to science computing application environment provisioning based on virtualization technology.
Tianhai Zhao, Yunlan Wang
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The future of high performance computers in science and engineering

Communications of the ACM, 1989
A vast array of new, highly parallel machines are opening up new opportunities for new applications and new ways of computing.
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High performance Computing for the Science of 21st Century

IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006
A picture of the state of the art of the HPC architectures at the service of computational sciences is presented, and the need for computational infrastructures to enhance support to scientific research is underlined. After this general overview, HPC-Europa a successful example of a computational infrastructure at the service of science at European ...
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