If you made any changes in Pure, your changes will be visible here soon.

Research Output 1992 2019

Filter
Chapter
2017
1 Citation (Scopus)

Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering

Kim, H., El-Khamra, Y., Jha, S. & Parashar, M., Jan 1 2017, Cloud Computing: Methodology, Systems, and Applications. CRC Press, p. 583-611 29 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Distributed computer systems
Containers
Virtual machine

The fusion code XGC: Enabling Kinetic Study of Multiscale Edge Turbulent Transport in ITER

D‘Azevedo, E., Abbott, S., Koskela, T., Worley, P., Ku, S. H., Ethier, S., Yoon, E., Shephard, M. S., Hager, R., Lang, J., Choi, J., Podhorszki, N., Klasky, S., Parashar, M. & Chang, C. S., Jan 1 2017, Exascale Scientific Applications: Scalability and Performance Portability. CRC Press, p. 529-552 24 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Experimental reactors
Reactor
Fusion
Fusion reactions
Plasma
2013
4 Citations (Scopus)

Software design for passing sarbanes-oxley in cloud computing

Lasluisa, S., Rodero, I. & Parashar, M., Jul 31 2013, Software Design and Development: Concepts, Methodologies, Tools, and Applications. IGI Global, Vol. 4-4. p. 1659-1674 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Software design
Cloud computing
Software engineering
2012
4 Citations (Scopus)

Energy Efficiency in HPC Systems

Rodero, I. & Parashar, M., Jul 30 2012, Energy-Efficient Distributed Computing Systems. John Wiley and Sons, p. 81-108 28 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Energy efficiency
4 Citations (Scopus)

Software design for passing sarbanes-oxley in cloud computing

Lasluisa, S., Rodero, I. & Parashar, M., Dec 1 2012, Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences. IGI Global, p. 27-42 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Software design
Cloud computing
Software engineering
2011
46 Citations (Scopus)

CometCloud: An Autonomic Cloud Engine

Kim, H. & Parashar, M., Jan 3 2011, Cloud Computing: Principles and Paradigms. John Wiley and Sons, p. 275-297 23 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Engines
2009
2 Citations (Scopus)

GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications

Parashar, M. & Li, X., Dec 9 2009, Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications. John Wiley & Sons, Inc., p. 249-263 15 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Engines

High throughput data movement

Klasky, S., Abbasi, H., Bhat, V., Docan, C., Hodson, S., Jin, C., Lofstead, J., Parashar, M., Schwan, K. & Wolf, M., Jan 1 2009, Scientific Data Management: Challenges, Technology, and Deployment. CRC Press, p. 151-180 30 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Supercomputers
High Throughput
Throughput
Supercomputer
Computer systems

HRMS: Hybrid Runtime Management Strategies for Large-Scale Parallel Adaptive Applications

Li, X. & Parashar, M., Dec 9 2009, Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications. John Wiley & Sons, Inc., p. 437-462 26 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Introduction: Enabling Large-Scale Computational Science-Motivations, Requirements, and Challenges

Parashar, M. & Li, X., Dec 9 2009, Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications. John Wiley & Sons, Inc., p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

17 Citations (Scopus)

Pervasive grids challenges and opportunities

Parashar, M. & Pierson, J. M., Dec 1 2009, The Handbook of Research on Scalable Computing Technologies. IGI Global, Vol. 1. p. 14-30 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Semantics
3 Citations (Scopus)

The Seine Data Coupling Framework for Parallel Scientific Applications

Zhang, L., Docan, C. & Parashar, M., Dec 9 2009, Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications. John Wiley & Sons, Inc., p. 283-309 27 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2006
7 Citations (Scopus)

A programming system for autonomic self-managing applications

Liu, H. & Parashar, M., Jan 1 2006, Autonomic Computing: Concepts, Infrastructure, and Applications. CRC Press, p. 211-236 26 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Computer systems programming
Programming
Computational Grid
Distributed computer systems
Distributed Computing
5 Citations (Scopus)

Autonomic data streaming for high-performance scientific applications

Bhat, V., Parashar, M. & Kandasamy, N., Jan 1 2006, Autonomic Computing: Concepts, Infrastructure, and Applications. CRC Press, p. 413-434 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Streaming Data
High Performance
Grid
On-line Control
Online Optimization
8 Citations (Scopus)

Autonomic grid computing: Concepts, requirements, and infrastructure

Parashar, M., Jan 1 2006, Autonomic Computing: Concepts, Infrastructure, and Applications. CRC Press, p. 49-70 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Autonomic Computing
Grid computing
Grid Computing
Infrastructure
Requirements
2000
2 Citations (Scopus)

An object infrastructure for computational steering of distributed simulations

Muralidhar, R. & Parashar, M., Jan 1 2000, Proceedings of the IEEE International Symposium on High Performance Distributed Computing. p. 304-305 2 p. 868669

Research output: Chapter in Book/Report/Conference proceedingChapter

Data structures
Actuators
Servers
Engineers
Sensors