Charles Koelbel

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The goal of the Grid Application Development Software (GrADS) Project is to provide programming tools and an execution environment to ease program development for the Grid. This paper presents recent extensions to the GrADS software framework: a new approach to scheduling workflow computations, applied to a 3-D image reconstruction application; a simple(More)
High Performance Fortran (HPF) is a high-level data-parallel programming system based on Fortran. The effort to standardize HPF began in 1991, at the Supercomputing Conference in Albuquerque, where a group of industry leaders asked Ken Kennedy to lead an effort to produce a common programming language for the emerging class of distributed-memory parallel(More)
The OpenSHMEM community would like to announce a new effort to standardize SHMEM, a communications library that uses one-sided communication and utilizes a partitioned global address space. OpenSHMEM is an effort to bring together a variety of SHMEM and SHMEM-like implementations into an open standard using a community-driven model. By creating an(More)
In this work, we describe new strategies for scheduling and executing workflow applications on grid resources using the GrADS [Ken Kennedy et al., 2002] infrastructure. Workflow scheduling is based on heuristic scheduling strategies that use application component performance models. The workflow is executed using a novel strategy to bind and launch the(More)
Programming nonshared memory systems is more difficult than programming shared memory systems, since there is no support for shared data structures. Current programming languages for distributed memory architectures force the user to decompose all data structures into separate pieces, with each piece “owned” by one of the processors in the(More)
Today's scientific workflows use distributed heterogeneous resources through diverse grid and cloud interfaces that are often hard to program. In addition, especially for time-sensitive critical applications, predictable quality of service is necessary across these distributed resources. VGrADS' virtual grid execution system (vgES) provides an uniform(More)
Complex scientific workflows are now Increasingly executed on computational grids. In addition to the challenges of managing and scheduling these workflows, reliability challenges arise because of the unreliable nature of large-scale grid infrastructure. Fault tolerance mechanisms like over-provisioning and checkpoint-recovery are used in current grid(More)
The success of large-scale parallel architectures is limited by the diiculty of developing machine-independent parallel programs. We have developed Fortran D, a version of Fortran extended with data decomposition speciications, to provide a portable data-parallel programming model. This paper presents the design of two key components of the Fortran D(More)