We observe increasing interest in aggregating geographically distributed, heterogeneous resources to perform large scale computations. MPI remains the most popular programming par...
Effective use of the memory hierarchy is critical for achieving high performance on embedded systems. We focus on the class of streaming applications, which is increasingly preval...
Janis Sermulins, William Thies, Rodric M. Rabbah, ...
We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Partitioned Global Address Space (PGAS) languages provide a unique programming model that can span shared-memory multiprocessor (SMP) architectures, distributed memory machines, o...