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Luc Moreau∗, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen-Boulakia, Susan Davidson, Ewa Deelman, Luciano Digiampietri, Ian Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole Goble, Jennifer Golbeck, Paul Groth, David A. Holland,(More)
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes high-performance computations comprising multiple distinct activities, coupled via file system operations. The aggregate number of tasks, quantity of computing, and volumes of data may be extremely(More)
Jens-S. Vöckler1 Gaurang Mehta1 Yong Zhao2 Ewa Deelman1 Mike Wilde3 1University of Southern California Information Sciences Institute 4676 Admiralty Way Ste 1001 Marina Del Rey, CA 90292 {jens,gmehta,deelman} at isi dot edu 2University of Chicago Dept. of Comp. Science 1100 East 58th Street Chicago, IL 60637 yongzh at cs dot uchicago dot edu 3Argonne(More)
BACKGROUND Sildenafil may be of benefit for selected patients with pulmonary hypertension associated with parenchymal lung and cardiac diseases. However the medium term benefits of this treatment for such patients is unclear. PATIENTS AND METHODS 16 consecutive patients with secondary pulmonary hypertension who had been on maximal appropriate therapy(More)
In grid environments, the deployment and management of application software presents a major practical challenge for end users. Performing these tasks manually is error-prone and not scalable to large grids. In this work, we propose an automation tool, ADEM, for grid application software deployment and management, and demonstrate and evaluate the tool on(More)
Data Grids are emerging as important to a range of scientific and engineering disciplines that depend for their progress on community creation, curation, and often computationally intensive analysis of large quantities of data. GriPhyN and PPDG are two major U.S. research and development projects aimed at creating and realizing the promise of Data Grids in(More)
With the advances in e-Sciences and the growing complexity of scientific analyses, more and more scientists and researchers are relying on workflow systems for process coordination, derivation automation, provenance tracking, and bookkeeping. Workflows are not a new concept and have been around for decades [1][3][6][7][2]. In the scientific community,(More)
Many of the high-performance computing (HPC) systems use a centralized storage system that is separate from the compute system. This approach is not going to be scalable as we seek to achieve exa-scale performance[6]. Distributed file systems can provide the scalability needed for exa-scale computing. FusionFS is a file system designed for HPC systems that(More)
Calico, a C-based object-oriented language supported by an integrated software development environment, is described. Calico features strict encapsulation, dynamic binding, fast garbage collection, and interoperability with C. It provides a simple, uniformly applied object model, a syntax easily mastered by C programmers, a new multiple inheritance model,(More)
In the grid environment, the problem of application software deployment and management is a major practical challenge for the end-users. Manual operation is error-prone and not scalable to large grids. In this work, we propose an automation tool for Application software DEployment and Management on Open Science Grid: ADEM. On the basis of the grid(More)