Supporting Experimental Computer Science

Frédéric Desprez; Geoffrey Fox; Emmanuel Jeannot; Kate Keahey; Michael Kozuch; David Margery; Pierre Neyron; Lucas Nussbaum; Christian Pérez; Olivier Richard; Warren Smith; Gregor von Laszewski; Jens Vöckler

Reports

Supporting Experimental Computer Science

Frédéric Desprez ¹ Geoffrey Fox ² Emmanuel Jeannot ³ Kate Keahey ⁴ Michael Kozuch ⁵ David Margery ⁶ Pierre Neyron ^{7, 8, *} Lucas Nussbaum ⁹ Christian Pérez ¹⁰ Olivier Richard ^{7, 11, *} Warren Smith ¹² Gregor von Laszewski ² Jens Vöckler ¹³

* Corresponding author

1 LIP - Laboratoire de l'Informatique du Parallélisme

2 Pervasive Technology Institute [Bloomington]

3 RUNTIME - Efficient runtime systems for parallel architectures

CNRS - Centre National de la Recherche Scientifique : UMR5800, UB - Université de Bordeaux, Inria Bordeaux - Sud-Ouest

4 ANL - Argonne National Laboratory [Lemont]

5 INTEL

6 MYRIADS - Design and Implementation of Autonomous Distributed Systems

Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE

7 LIG - Laboratoire d'Informatique de Grenoble

8 MOAIS - PrograMming and scheduling design fOr Applications in Interactive Simulation

LIG - Laboratoire d'Informatique de Grenoble, Inria Grenoble - Rhône-Alpes

9 ALGORILLE - Algorithms for the Grid

Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services

10 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms

Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme

11 MESCAL - Middleware efficiently scalable

LIG - Laboratoire d'Informatique de Grenoble, Inria Grenoble - Rhône-Alpes

12 Texas Advanced Computing Center

13 Information Sciences Institute [California]

Abstract : The ability to conduct consistent, controlled, and repeatable large-scale experiments in all areas of computer science related to parallel, large-scale, or distributed computing and networking is critical to the future and development of computer science. Yet conducting such experiments is still too often a challenge for researchers, students, and practitioners because of the unavailability of dedicated resources, inability to create controlled experimental conditions, and variability in software. Availability, repeatability, and open sharing of electronic products are all still difficult to achieve. To discuss those challenges and share experiences in their solution, the Workshop on Experimental Support for Computer Science brought together scientists involved in building and operating infrastructures dedicated to supporting computer science experiments to discuss challenges and solutions in this space. The workshop was held in November 2011 and was collocated with the SC11 conference in Seattle, Wash. Our objectives were to share experiences and knowledge related to supporting large-scale experiments conducted on experimental infrastructures, understand user requirements, and discuss methodologies and opportunities created by emerging technologies. This report ties together the workshop presentations and discussion and the consensus that emerged on the state of the field and directions for moving forward.

Document type :

Reports

Domain :

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

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https://hal.inria.fr/hal-00720815
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Submitted on : Wednesday, July 25, 2012 - 6:18:26 PM
Last modification on : Thursday, January 20, 2022 - 4:20:18 PM
Long-term archiving on: : Friday, October 26, 2012 - 3:30:08 AM

Supporting Experimental Computer Science

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Supporting Experimental Computer Science

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