The ubiquity of many-core architectures poses challenges to software developers to make scalable software. To parallelize data-intensive applications on a many-core platform, one h...
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Evaluating, analyzing and predicting the performance of a parallel system is challenging due to the complex inter-play between the application characteristics and architectural fe...
Big data presents new challenges to both cluster infrastructure software and parallel application design. We present a set of software services and design principles for data inte...
Yogesh Simmhan, Roger S. Barga, Catharine van Inge...
Historically, method-oriented middleware, such as Sun RPC, DCE, Java RMI, COM, and CORBA, has provided synchronous method invocation (SMI) models to applications. Although SMI work...
Alexander B. Arulanthu, Carlos O'Ryan, Douglas C. ...