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Displaying 1-50 out of 68 total
A General Approach to Real-Time Workflow Monitoring
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Karan Vahi,Ian Harvey,Taghrid Samak,Daniel Gunter,Kieran Evans,Dave Rogers,Ian Taylor,Monte Goode,Fabio Silva,Eddie Al-Shkarchi,Gaurang Mehta,Andrew Jones,Ewa Deelman
Issue Date:November 2012
pp. 108-118
Scientific workflow systems support different workflow representations, operational modes and configurations. However, independent of the system used, end users need to track the status of their workflows in real time, be notified of execution anomalies an...
 
Integration of Workflow Partitioning and Resource Provisioning
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Weiwei Chen,Ewa Deelman
Issue Date:May 2012
pp. 764-768
The recent increased use of workflow management systems by large scientific collaborations presents the challenge of scheduling large-scale workflows onto distributed resources. This work aims to partition large-scale scientific workflows in conjunction wi...
 
A Cloud-based Dynamic Workflow for Mass Spectrometry Data Analysis
Found in: eScience, IEEE International Conference on
By Ashish Nagavaram,Gagan Agrawal,Michael A. Freitas,Kelly H. Telu,Gaurang Mehta,Rajiv G. Mayani,Ewa Deelman
Issue Date:December 2011
pp. 47-54
There is a growing interest in the use of cloud computing for scientific applications, including scientific workflows. Key attractions of the cloud include the pay-as-you-go model and elasticity. While the elasticity offered by clouds can be beneficial for...
 
Online Fault and Anomaly Detection for Large-Scale Scientific Workflows
Found in: High Performance Computing and Communications, 10th IEEE International Conference on
By Taghrid Samak,Dan Gunter,Monte Goode,Ewa Deelman,Gideon Juve,Gaurang Mehta,Fabio Silva,Karan Vahi
Issue Date:September 2011
pp. 373-381
Scientific workflows are an enabler of complex scientific analyses. Large-scale scientific workflows are executed on complex parallel and distributed resources, where many things can fail. Application scientists need to track the status of their workflows ...
 
Artificial Intelligence and Grids: Workflow Planning and Beyond
Found in: IEEE Intelligent Systems
By Yolanda Gil, Ewa Deelman, Jim Blythe, Carl Kesselman, Hongsuda Tangmunarunkit
Issue Date:January 2004
pp. 26-33
<p>Grid computing is emerging as a key enabling infrastructure for science. A key challenge for distributed computation over the Grid is the on-demand synthesis of large-scale, end-to-end scientific applications that draw from pools of specialized sc...
 
Balanced Task Clustering in Scientific Workflows
Found in: 2013 IEEE 9th International Conference on eScience (eScience)
By Weiwei Chen,Rafael Ferreira Da Silva,Ewa Deelman,Rizos Sakellariou
Issue Date:October 2013
pp. 188-195
Scientific workflows can be composed of many fine computational granularity tasks. The runtime of these tasks may be shorter than the duration of system overheads, for example, when using multiple resources of a cloud infrastructure. Task clustering is a r...
 
Energy-Constrained Provisioning for Scientific Workflow Ensembles
Found in: 2013 International Conference on Cloud and Green Computing (CGC)
By Ilia Pietri,Maciej Malawski,Gideon Juve,Ewa Deelman,Jarek Nabrzyski,Rizos Sakellariou
Issue Date:September 2013
pp. 34-41
Large computational problems may often be modelled using multiple scientific workflows with similar structure. These workflows can be grouped into ensembles, which may be executed on distributed platforms such as the Cloud. In this paper, we focus on the p...
 
Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows
Found in: Computing in Science & Engineering
By Gideon Juve,Mats Rynge,Ewa Deelman,Jens-S. Vockler,G. Bruce Berriman
Issue Date:July 2013
pp. 20-29
Scientists have many computing infrastructures available to conduct their research, including grids and public or private clouds. This article explores the use of these cyberinfrastructures to execute scientific workflows, an important class of scientific ...
 
Integrating Policy with Scientific Workflow Management for Data-Intensive Applications
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Ann L. Chervenak,David E. Smith,Weiwei Chen,Ewa Deelman
Issue Date:November 2012
pp. 140-149
As scientific applications generate and consume data at ever-increasing rates, scientific workflow systems that manage the growing complexity of analyses and data movement will increase in importance. The goal of our work is to improve the overall performa...
 
Peer-to-Peer Data Sharing for Scientific Workflows on Amazon EC2
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Rohit Agarwal,Gideon Juve,Ewa Deelman
Issue Date:November 2012
pp. 82-89
In this paper, we consider the problem of data sharing in scientific workflows running on the cloud. We present the design and evaluation of a peer-to-peer approach to help solve this problem. We compare the performance of our peer-to-peer file manager wit...
 
Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds
Found in: 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis
By Maciej Malawski,Gideon Juve,Ewa Deelman,Jarek Nabrzyski
Issue Date:November 2012
pp. 1-11
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management of such ensembles under budget and deadline co...
 
WorkflowSim: A toolkit for simulating scientific workflows in distributed environments
Found in: 2012 IEEE 8th International Conference on E-Science (e-Science)
By Weiwei Chen,Ewa Deelman
Issue Date:October 2012
pp. 1-8
Simulation is one of the most popular evaluation methods in scientific workflow studies. However, existing workflow simulators fail to provide a framework that takes into consideration heterogeneous system overheads and failures. They also lack the support...
 
Fault Tolerant Clustering in Scientific Workflows
Found in: 2012 IEEE World Congress on Services (SERVICES)
By Weiwei Chen,Ewa Deelman
Issue Date:June 2012
pp. 9-16
Task clustering has been proven to be an effective method to reduce execution overhead and increase the computational granularity of workflow tasks executing on distributed resources. However, a job composed of multiple tasks may have a greater risk of suf...
 
Experiences Using GlideinWMS and the Corral Frontend across Cyberinfrastructures
Found in: eScience, IEEE International Conference on
By Mats Rynge,Gideon Juve,Gaurang Mehta,Ewa Deelman,Krista Larson,Burt Holzman,Igor Sfiligoi,Frank Würthwein,G. Bruce Berriman,Scott Callaghan
Issue Date:December 2011
pp. 311-318
Even with Grid technologies, the main mode of access for the current High Performance Computing and High Throughput Computing infrastructures today is logging in via ssh. This mode of access locks scientists to particular machines as it is difficult to mov...
 
Automating Application Deployment in Infrastructure Clouds
Found in: Cloud Computing Technology and Science, IEEE International Conference on
By Gideon Juve,Ewa Deelman
Issue Date:December 2011
pp. 658-665
Cloud computing systems are becoming an important platform for distributed applications in science and engineering. Infrastructure as a Service (IaaS) clouds provide the capability to provision virtual machines (VMs) on demand with a specific configuration...
 
Wings: Intelligent Workflow-Based Design of Computational Experiments
Found in: IEEE Intelligent Systems
By Yolanda Gil,Varun Ratnakar, Jihie Kim,Joshua Moody,Ewa Deelman,Pedro Antonio Gonzalez-Calero,Paul Groth
Issue Date:January 2011
pp. 62-72
Describes the Wings intelligent workflow system that assists scientists with designing computational experiments by automatically tracking constraints and ruling out invalid designs, letting scientists focus on their experiments and goals.
 
The Application of Cloud Computing to Astronomy: A Study of Cost and Performance
Found in: e-Science Workshops, IEEE International Conference on
By G. Bruce Berriman, Gideon Juve, Ewa Deelman, Moira Regelson, Peter Plavchan
Issue Date:December 2010
pp. 1-7
Cloud computing is a powerful new technology that is widely used in the business world. Recently, we have been investigating the benefits it offers to scientific computing. We have used three workflow applications to compare the performance of processing d...
 
Bridging the Gap between Business and Scientific Workflows: Humans in the Loop of Scientific Workflows
Found in: eScience, IEEE International Conference on
By Mirko Sonntag, Dimka Karastoyanova, Ewa Deelman
Issue Date:December 2010
pp. 206-213
Due to their different target applications business and scientific workflow systems provide different sets of features to their users. Significant amount of research is currently being done to employ the business workflow technology in the scientific domai...
 
Reducing Time-to-Solution Using Distributed High-Throughput Mega-Workflows - Experiences from SCEC CyberShake
Found in: eScience, IEEE International Conference on
By Scott Callaghan, Philip Maechling, Ewa Deelman, Karan Vahi, Gaurang Mehta, Gideon Juve, Kevin Milner, Robert Graves, Edward Field, David Okaya, Dan Gunter, Keith Beattie, Thomas Jordan
Issue Date:December 2008
pp. 151-158
Researchers at the Southern California Earthquake Center (SCEC) use large-scale grid-based scientific workflows to perform seismic hazard research as a part of SCEC's program of earthquake system science research. The scientific goal of the SCEC CyberShake...
 
Estimating Resource Needs for Time-Constrained Workflows
Found in: eScience, IEEE International Conference on
By Eun-Kyu Byun, Yang-Suk Kee, Ewa Deelman, Karan Vahi, Gaurang Mehta, Jin-Soo Kim
Issue Date:December 2008
pp. 31-38
Workflow technologies have become a major vehicle for the easy and efficient development of science applications. At the same time new computing environments such as the Cloud are now avaiable. A challenge is to determine the right amount of resources to p...
 
On the Use of Cloud Computing for Scientific Workflows
Found in: eScience, IEEE International Conference on
By Christina Hoffa, Gaurang Mehta, Tim Freeman, Ewa Deelman, Kate Keahey, Bruce Berriman, John Good
Issue Date:December 2008
pp. 640-645
This paper explores the use of cloud computing for scientific workflows, focusing on a widely used astronomy application-Montage. The approach is to evaluate from the point of view of a scientific workflow the tradeoffs between running in a local environme...
 
Resource Provisioning Options for Large-Scale Scientific Workflows
Found in: eScience, IEEE International Conference on
By Gideon Juve, Ewa Deelman
Issue Date:December 2008
pp. 608-613
Scientists in many fields are developing large-scale workflows containing millions of tasks and requiring thousands of hours of aggregate computation time. Acquiring the computational resources to execute these workflows poses many challenges for applicati...
 
The cost of doing science on the cloud: the Montage example
Found in: SC Conference
By Ewa Deelman, Gurmeet Singh, Miron Livny, Bruce Berriman, John Good
Issue Date:November 2008
pp. 1-12
Utility grids such as the Amazon EC2 cloud and Amazon S3 offer computational and storage resources that can be used on-demand for a fee by compute and data-intensive applications. The cost of running an application on such a cloud depends on the compute, s...
 
Adaptive Workflow Processing and Execution in Pegasus
Found in: Grid and Pervasive Computing, International Conference on
By Kevin Lee, Norman W. Paton, Rizos Sakellariou, Ewa Deelman, Alvaro A.A. Fernandes, Gaurang Mehta
Issue Date:May 2008
pp. 99-106
Workflows are widely used in applications that require coordinated use of computational resources. Workflow definition languages typically abstract over some aspects of the way in which a workflow is to be executed, such as the level of parallelism to be u...
 
Data Management Challenges of Data-Intensive Scientific Workflows
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Ewa Deelman, Ann Chervenak
Issue Date:May 2008
pp. 687-692
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. Much research to-date focuses on efficient, scalable, and robust workflow execu...
 
Provenance: The Bridge Between Experiments and Data
Found in: Computing in Science and Engineering
By Simon Miles, Paul Groth, Ewa Deelman, Karan Vahi, Gaurang Mehta, Luc Moreau
Issue Date:May 2008
pp. 38-46
Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enact...
 
Connecting Scientific Data to Scientific Experiments with Provenance
Found in: e-Science and Grid Computing, International Conference on
By Simon Miles, Ewa Deelman, Paul Groth, Karan Vahi, Gaurang Mehta, Luc Moreau
Issue Date:December 2007
pp. 179-186
As scientific workflows and the data they operate on, grow in size and complexity, the task of defining how those workflows should execute (which resources to use, where the resources must be in readiness for processing etc.) becomes proportionally more di...
 
Examining the Challenges of Scientific Workflows
Found in: Computer
By Yolanda Gil, Ewa Deelman, Mark Ellisman, Thomas Fahringer, Geoffrey Fox, Dennis Gannon, Carole Goble, Miron Livny, Luc Moreau, Jim Myers
Issue Date:December 2007
pp. 24-32
Workflows have emerged as a paradigm for representing and managing complex distributed computations and are used to accelerate the pace of scientific progress. A recent National Science Foundation workshop brought together domain, computer, and social scie...
 
Data placement for scientific applications in distributed environments
Found in: Grid Computing, IEEE/ACM International Workshop on
By Ann Chervenak, Ewa Deelman, Miron Livny, Mei-Hui Su, Rob Schuler, Shishir Bharathi, Gaurang Mehta, Karan Vahi
Issue Date:September 2007
pp. 267-274
Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute data in ways that are advantageous for application execution, for example, by placi...
 
Adaptive pricing for resource reservations in Shared environments
Found in: Grid Computing, IEEE/ACM International Workshop on
By Gurmeet Singh, Carl Kesselman, Ewa Deelman
Issue Date:September 2007
pp. 74-80
Application scheduling studies on large-scale shared resources have advocated the use of resource provisioning in the form of advance reservations for providing predictable and deterministic quality of service to applications. Resource scheduling studies h...
 
Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Arun Ramakrishnan, Gurmeet Singh, Henan Zhao, Ewa Deelman, Rizos Sakellariou, Karan Vahi, Kent Blackburn, David Meyers, Michael Samidi
Issue Date:May 2007
pp. 401-409
In this paper we examine the issue of optimizing disk usage and of scheduling large-scale scientific workflows onto distributed resources where the workflows are dataintensive, requiring large amounts of data storage, and where the resources have limited s...
 
Managing Large-Scale Workflow Execution from Resource Provisioning to Provenance Tracking: The CyberShake Example
Found in: e-Science and Grid Computing, International Conference on
By Ewa Deelman, Scott Callaghan, Edward Field, Hunter Francoeur, Robert Graves, Nitin Gupta, Vipin Gupta, Thomas H. Jordan, Carl Kesselman, Philip Maechling, John Mehringer, Gaurang Mehta, David Okaya, Karan Vahi, Li Zhao
Issue Date:December 2006
pp. 14
This paper discusses the process of building an environment where large-scale, complex, scientific analysis can be scheduled onto a heterogeneous collection of computational and storage resources. The example application is the Southern California Earthqua...
 
Managing Large-Scale Scientific Workflows in Distributed Environments: Experiences and Challenges
Found in: e-Science and Grid Computing, International Conference on
By Ewa Deelman, Yolanda Gil
Issue Date:December 2006
pp. 144
In this paper we discuss several challenges associated scientific workflow design and management in distributed, heterogeneous environments. Based on our prior work with a number of scientific applications, we describe the workflow lifecycle and examine ou...
 
Automating Climate Science: Large Ensemble Simulations on the TeraGrid with the GriPhyN Virtual Data System
Found in: e-Science and Grid Computing, International Conference on
By Veronika Nefedova, Robert Jacob, Ian Foster, Zhengyu Liu, Yun Liu, Ewa Deelman, Gaurang Mehta, Mei-Hui Su, Karan Vahi
Issue Date:December 2006
pp. 32
Ensemble simulations are a promising technique for identifying the signal of atmospheric response to extra-tropical sea surface temperature variability with high statistical significance. The basic idea is to perform multiple simulations from slightly diff...
 
Application-Level Resource Provisioning on the Grid
Found in: e-Science and Grid Computing, International Conference on
By Gurmeet Singh, Carl Kesselman, Ewa Deelman
Issue Date:December 2006
pp. 83
In this paper, we present algorithms for Grid resource provisioning that employ agreement-based resource management. These algorithms allow userlevel resource allocation and scheduling of applications that are structured as a precedenceconstrained set of t...
 
A Comparison of Two Methods for Building Astronomical Image Mosaics on a Grid
Found in: Parallel Processing Workshops, International Conference on
By Daniel S. Katz, Joseph C. Jacob, G. Bruce Berriman, John Good, Anastasia C. Laity, Ewa Deelman, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Thomas A. Prince
Issue Date:June 2005
pp. 85-94
This paper compares two methods for running an application composed of a set of modules on a grid. The set of modules (collectively called Montage) generates large astronomical image mosaics by composing multiple small images. The workflow that describes a...
 
Automatically Composed Workflows for Grid Environments
Found in: IEEE Intelligent Systems
By Jim Blythe, Ewa Deelman, Yolanda Gil
Issue Date:July 2004
pp. 16-23
Grid computing provides key infrastructure for distributed problem solving in dynamic virtual organizations. Many scientific projects have adopted grid computing, and industrial interest in it is rising rapidly. However, grids are still the domain of a few...
 
Grid-Based Metadata Services
Found in: Scientific and Statistical Database Management, International Conference on
By Ewa Deelman, Gurmeet Singh, Malcolm P. Atkinson, Ann Chervenak, Neil P Chue Hong, Carl Kesselman, Sonal Patil, Laura Pearlman, Mei-Hui Su
Issue Date:June 2004
pp. 393
Data sets being managed in Grid environments today are growing at a rapid rate, expected to reach 100s of Petabytes in the near future. Managing such large data sets poses challenges for efficient data access, data publication and data discovery. In this p...
 
Grid-Based Galaxy Morphology Analysis for the National Virtual Observatory
Found in: SC Conference
By Ewa Deelman, Raymond Plante, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Gretchen Greene, Robert Hanisch, Niall Gaffney, Antonio Volpicelli, James Annis, Vijay Sekhri, Tamas Budavari, Maria Nieto-Santisteban, William O'Mullane, David Bohlender, Tom McGlynn,
Issue Date:November 2003
pp. 47
As part of the development of the National Virtual Observatory (NVO), a Data Grid for astronomy, we have developed a prototype science application to explore the dynamical history of galaxy clusters by analyzing the galaxies' morphologies. The purpose of t...
 
A Metadata Catalog Service for Data Intensive Applications
Found in: SC Conference
By Gurmeet Singh, Shishir Bharathi, Ann Chervenak, Ewa Deelman, Carl Kesselman, Mary Manohar, Sonal Patil, Laura Pearlman
Issue Date:November 2003
pp. 33
Advances in computational, storage and network technologies as well as middle ware such as the Globus Toolkit allow scientists to expand the sophistication and scope of data-intensive applications. These applications produce and analyze terabytes and petab...
 
Simulation of Dynamic Data Replication Strategies in Data Grids
Found in: Parallel and Distributed Processing Symposium, International
By Houda Lamehamedi, Zujun Shentu, Boleslaw Szymanski, Ewa Deelman
Issue Date:April 2003
pp. 100b
Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge and widely distributed data is hindered by the high latencies of the Internet...
 
Giggle: A Framework for Constructing Scalable Replica Location Services
Found in: SC Conference
By Ann Chervenak, Ewa Deelman, Ian Foster, Leanne Guy, Wolfgang Hoschek, Adriana Iamnitchi, Carl Kesselman, Peter Kunszt, Matei Ripeanu, Bob Schwartzkopf, Heinz Stockinger, Kurt Stockinger, Brian Tierney
Issue Date:November 2002
pp. 58
In wide area computing systems, it is often desirable to create remote read-only copies (replicas) of files. Replication can be used to reduce access latency, improve data locality, and/or increase robustness, scalability and performance for distributed ap...
 
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists
Found in: High-Performance Distributed Computing, International Symposium on
By Ewa Deelman, Carl Kesselman, Gaurang Mehta, Leila Meshkat, Laura Pearlman, Kent Blackburn, Phil Ehrens, Albert Lazzarini, Roy Williams, Scott Koranda
Issue Date:July 2002
pp. 225
Many Physics experiments today generate large volumes of data. That data is then processed in a variety of ways in order to achieve the understanding of fundamental physical phenomena. The goal of the NSF-funded GriPhyN project (Grid Physics Network) is to...
 
High-Performance Remote Access to Climate Simulation Data: A Challenge Problem for Data Grid Technologies
Found in: SC Conference
By Bill Allcock, Ian Foster, Veronika Nefedova, Ann Chervenak, Ewa Deelman, Carl Kesselman, Jason Lee, Alex Sim, Arie Shoshani, Bob Drach, Dean Williams
Issue Date:November 2001
pp. 20
In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging as critical community resources. A new class of Data Grid infrastructure is required to support management, transport, distributed access to, and analysis of...
 
Improving Lookahead in Parallel Discrete Event Simulations of Large-Scale Applications using Compiler Analysis
Found in: Parallel and Distributed Simulation, Workshop on
By Ewa Deelman, Rajive Bagrodia, Rizos Sakellariou, Vikram Adve
Issue Date:May 2001
pp. 5
This paper addresses the issue of efficient and accurate performance prediction of large-scale message-passing applications on high performance architectures using simulation. Such simulators are often based on parallel discrete event simulation, typically...
 
POEMS: End-to-End Performance Design of Large Parallel Adaptive Computational Systems
Found in: IEEE Transactions on Software Engineering
By Vikram S. Adve, Rajive Bagrodia, James C. Browne, Ewa Deelman, Aditya Dube, Elias N. Houstis, John R. Rice, Rizos Sakellariou, David J. Sundaram-Stukel, Patricia J. Teller, Mary K. Vernon
Issue Date:November 2000
pp. 1027-1048
<p><b>Abstract</b>—The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runtime and operating system software, and hard...
 
Asynchronous Parallel Simulation of Parallel Programs
Found in: IEEE Transactions on Software Engineering
By Sundeep Prakash, Ewa Deelman, Rajive Bagrodia
Issue Date:May 2000
pp. 385-400
<p><b>Abstract</b>—Parallel simulation of parallel programs for large datasets has been shown to offer significant reduction in the execution time of many discrete event models. This paper describes the design and implementation of MPI-SI...
 
Compiler-Supported Simulation of Highly Scalable Parallel Applications
Found in: SC Conference
By Vikram S. Adve, Rajive Bagrodia, Ewa Deelman, Thomas Phan, Rizos Sakellariou
Issue Date:November 1999
pp. 1
In this paper, we propose and evaluate practical, automatic techniques that exploit compiler analysis to facilitate simulation of very large message-passing systems. We use a compiler-synthesized static task graph model to identify the control-flow and the...
 
Data Sharing Options for Scientific Workflows on Amazon EC2
Found in: SC Conference
By Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Mehta, Bruce Berriman, Benjamin P. Berman, Phil Maechling
Issue Date:November 2010
pp. 1-9
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data between tasks using files. When tasks are distributed, these files are either ...
 
Designing and parameterizing a workflow for optimization: A case study in biomedical imaging
Found in: Parallel and Distributed Processing Symposium, International
By Vijay S. Kumar, Mary Hall, Jihie Kim, Yolanda Gil, Tahsin Kure, Ewa Deelman, Varun Ratnakar, Joel Saltz
Issue Date:April 2008
pp. 1-5
This paper describes our experience to date employing the systematic mapping and optimization of large-scale scientific application workflows to current and future parallel platforms. The overall goal of the project is to integrate a set of system layers -...
 
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