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MTAGS '11: Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
ACM2011 Proceeding
  • General Chairs:
  • Ioan Raicu,
  • Ian Foster,
  • Yong Zhao
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SC '11: International Conference for High Performance Computing, Networking, Storage and Analysis Seattle Washington USA 14 November 2011
ISBN:
978-1-4503-1145-8
Published:
14 November 2011
Sponsors:
SIGARCH, IEEE CS
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Abstract

It is our great pleasure to welcome you to the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers -- MTAGS'11. This year is the 4th time we organize the MTAGS workshop, which provides the scientific community a dedicated forum for presenting new research, development, and deployment efforts of large-scale many-task computing (MTC) applications on large scale clusters, Grids, Supercomputers, and Cloud Computing infrastructure. MTC, the theme of the workshop encompasses loosely coupled applications, which are generally composed of many tasks (both independent and dependent tasks) to achieve some larger application goal. This workshop covers challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file system contention and scalability, data management, I/O management, reliability at scale, and application scalability.

We received 18 submissions from across the world and we finally decided to accept 6 papers that covered a variety of topics, including architecture for exascale systems, large scale parallel applications, and ensemble processing on Hadoop. We also included an invited paper from the DataCloud'11 workshop that talked about data processing on AWS. In addition, the program included a panel on Many Task Computing meets Exascales, and a keynote speech by Dr. David Abramson from Monash University on Mixing Cloud and Grid Resources for Many Task Computing. The workshop at SC'11 was a big success, which attracted over 150 attendees, a record number for the workshop series. The panel also spurred great discussions regarding MTC in the context of the coming exascale era.

The past three MTAGS workshops and the IEEE Transactions on Parallel and Distributed Systems Special Issue on Many Task Computing 2011 attracted 142 abstracts and 110 paper submissions, from which 41 papers were accepted. Papers covered resource management, data-intensive computing, applications, and MTC on supercomputers, grids, and clouds. More than 1,000 people have participated as coauthors, program committee members, reviewers, and attendees in these venues. We are well beyond a critical mass for a new, thriving community, which is quickly expanding.

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SESSION: Keynote
keynote
Mixing cloud and grid resources for many task computing

Over the past 15 years we have developed a sophisticated tool set for solving large parameter sweep and search applications using a Many Task approach. This tool family, called Nimrod, makes it easy to create computational experiments in which multiple ...

PANEL SESSION: Panel
SESSION: Session 1
research-article
Parallel high-resolution climate data analysis using swift

Advances in software parallelism and high-performance systems have resulted in an order of magnitude increase in the volume of output data produced by the Community Earth System Model (CESM). As the volume of data produced by CESM increases, the single-...

research-article
A dependency-driven formulation of parareal: parallel-in-time solution of PDEs as a many-task application

Parareal is a novel algorithm that allows the solution of time-dependent systems of differential or partial differential equations (PDE) to be parallelized in the temporal domain. Parareal-based implementations of PDE problems can take advantage of this ...

research-article
Design and implementation of "many parallel task" hybrid subsurface model

Continuum scale models have been used to study subsurface flow, transport, and reactions for many years. Recently, pore scale models, which operate at scales of individual soil grains, have been developed to more accurately model pore scale phenomena, ...

research-article
High performance matrix inversion based on LU factorization for multicore architectures

The goal of this paper is to present an efficient implementation of an explicit matrix inversion of general square matrices on multicore computer architecture. The inversion procedure is split into four steps: 1) computing the LU factorization, 2) ...

SESSION: Session 2
research-article
Towards scalable I/O architecture for exascale systems

High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range quickly. The exascale system is projected to have millions of nodes, with thousands of cores for each node. At such an extreme scale, the substantial amount ...

research-article
Riding the elephant: managing ensembles with hadoop

Many important scientific applications do not fit the traditional model of a monolithic simulation running on thousands of nodes. Scientific workflows -- such as the Materials Genome project, Energy Frontiers Research Center for Gas Separations Relevant ...

research-article
MATE-EC2: a middleware for processing data with AWS

Recently, there has been growing interest in using Cloud resources for a variety of high performance and data-intensive applications. While there is currently a number of commercial Cloud service providers, Amazon Web Services (AWS) appears to be the ...

Contributors
  • Illinois Institute of Technology
  • The University of Chicago

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