Cited By
View all- Nogales RTandazo PMayorga FGuevara DVargas J(2020)Open Source Cloud Platform for Academic Systems Monitoring SoftwareApplied Technologies10.1007/978-3-030-42517-3_34(451-465)Online publication date: 3-Mar-2020
Towards production monitoring of application progress
Pages 56 - 57
Abstract
We present here a vision for better information-based management of high-performance computing resources and the long-running scientific applications that use them.
References
[1]
L. Adhianto et al. HPCToolkit: Tools for Performance Analysis of Optimized Parallel Programs. Concurr. Comput. : Pract. Exper., 22:685--701, April 2010.
[2]
M. Diep, M. Cohen, and S. Elbaum. Probe Distribution Techniques to Profile Events in Deployed Software. In Proc. 17th Int'l Symp. on Software Reliability Engineering, pages 331--342, Washington, DC, 2006.
[3]
R. Gupta et al. CIFTS: A Coordinated Infrastructure for Fault-Tolerant Systems. In Proc. 2009 Int'l Conf. on Parallel Processing, ICPP '09, pages 237--245, Washington, DC, USA, 2009. IEEE Computer Society.
[4]
B. Miller et al. The Paradyn Parallel Performance Measurement Tool. IEEE Computer, 28(11):37--46, Nov 1995.
[5]
A. Orso, J. Jones, and M. J. Harrold. Visualization of Program-Execution Data for Deployed Software. In Proc. 2003 ACM Symposium on Software Visualization, pages 67--ff, New York, NY, USA, 2003. ACM.
[6]
R. A. Ballance and J. T. Daly and S. E. Michalak. Application Monitoring. In Proc. 2008 Cray User Group Meeting, May 2008.
[7]
M. Schulz et al. Open|SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis. Sci. Program., 16:105--121, April 2008.
[8]
V. Springel. The Cosmological Simulation Code Gadget-2. Monthly Notices of the Royal Astronomical Society, 364(4):1105--1134.
Index Terms
- Towards production monitoring of application progress
Recommendations
Digital Sherpa: a set of high level tools to manage scientific applications in a computational grid
MG '08: Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilitiesCurrently users of high performance computers are overwhelmed with non scalable tasks such as job submission and monitoring, a problem that gets compounded when trying to run complex scientific applications requiring the coordination of several ...
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid
CW '08: Proceedings of the 2008 International Conference on CyberworldsOne major challenge for Grid environments is how to efficiently utilize geographically distributed resources given large communication latency introduced by wide area networks interconnecting different Grid sites. In this paper, we use optical networks ...
Workflows for Science: a Challenge when Facing the Convergence of HPC and Big Data
Workflows have been traditionally a mean to describe and implement the computing experiments, usually parametric studies and explorations searching for the best solution, that scientific researchers want to perform. A workflow is not only the computing ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2011
64 pages
ISBN:9781450305983
DOI:10.1145/1985782
- General Chair:
- Jeffrey Carver,
- Program Chairs:
- Roscoe Bartlett,
- Ian Gorton,
- Lorin Hochstein,
- Diane Kelly,
- Judith Segal
Copyright © 2011 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 May 2011
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
ICSE11
Sponsor:
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 87Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 24 Nov 2024
Other Metrics
Citations
Cited By
View all- Nogales RTandazo PMayorga FGuevara DVargas J(2020)Open Source Cloud Platform for Academic Systems Monitoring SoftwareApplied Technologies10.1007/978-3-030-42517-3_34(451-465)Online publication date: 3-Mar-2020
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in