Adaptive applications have computational workloads and communication patterns which change unpredictably at runtime, requiring dynamic load balancing to achieve scalable performan...
Hongzhang Shan, Jaswinder Pal Singh, Leonid Oliker...
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
Our current research into programming models for parallel web services composition is targeted at providing mechanisms for obtaining higher throughput for large scale compute and ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
In recent years, the microprocessor industry has embraced chip multiprocessors (CMPs), also known as multi-core architectures, as the dominant design paradigm. For existing and ne...