Empirical performance evaluation of parallel systems and applications can generate significant amounts of performance data and analysis results from multiple experiments as perfo...
Kevin A. Huck, Allen D. Malony, Robert Bell, Alan ...
Traditional list schedulers order instructions based on an optimistic estimate of the load latency imposed by the hardware and therefore cannot respond to variations in memory lat...
The success of groupware software largely depends on its capability for being reused in different collaborative scenarios without requiring significant software development effort...
Miguel A. Gomez-Hernandez, Juan I. Asensio-P&eacut...
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Recently many large scale computer systems are built in order to meet the high storage and processing demands of compute and data-intensive applications. MapReduce is one of the mo...