Scripting languages such as R and Matlab are widely used in scientific data processing. As the data volume and the complexity of analysis tasks both grow, sequential data process...
Jiangtian Li, Xiaosong Ma, Srikanth B. Yoginath, G...
Given the complexity of parallel programs, developers often must rely on performance analysis tools to help them improve the performance of their code. While many tools support th...
A new approach to monitoring the runtime behaviour of parallel programs will be presented. Our approach provides a speci cation language to build measurement models which describe...
Abstract. Recent advances in processor technology such as Simultaneous Multithreading (SMT) and Chip Multiprocessing (CMP) enable parallel processing on a single die. These process...
Scott Schneider, Christos D. Antonopoulos, Dimitri...
Today’s shared-memory parallel programming models are complex and error-prone. While many parallel programs are intended to be deterministic, unanticipated thread interleavings ...
Robert L. Bocchino Jr., Vikram S. Adve, Danny Dig,...