Mihael Hategan

TL;DR: The use of Swift for medical research is described, showing how SwiftScript is used to encode an application workflow, and performance results are presented that demonstrate the ability to achieve significant speedups on both a local parallel computing cluster and multiple parallel clusters at distributed sites.

TL;DR: Swift is able to represent dynamic workflows whose structures can only be determined during runtime and reduce largely the code size of various workflow representations using SwiftScript; schedule the execution of hundreds of thousands of parallel computations via the Karajan engine; and achieve up to 90% reduction in execution time when compared to traditional batch schedulers.

TL;DR: A collection of abstractions and data structures that collectively build a basis for an open Grid computing environment are introduced in order to initiate community interest to standardize a high-level abstraction layer for different Grid architectures.

TL;DR: The applications that can benefit from parallel scripting on petascale-class machines are characterized, the mechanisms that make this feasible on such systems are described, and results achieved with parallel scripts on currently available petascales computers are presented.

TL;DR: This paper showcases the abstraction model and verify its extensibility by integrating it with an advanced quality-of-service-based execution framework and proposes an abstraction-based Grid middleware layer as part of the Java CoG Kit.