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Modern task parallel programming models provide sophisticated runtime task schedulers for handling the scheduling of logical tasks on a large and varying number of hardware parallel resources at runtime. The performance of these programming models increasingly rely on how fast their runtime schedulers do their job. The more delay a scheduler incurs in matching a ready task to a free processor core...
Task parallel models supporting dynamic and hierarchical parallelism are believed to offer a promising direction to achieving higher performance and programmability. Divide-and-conquer is the most frequently used idiom in task parallel models, which decomposes the problem instance into smaller ones until they become “trivial” to solve. However, it incurs a high tasking overhead if a task is created...
Profiling is an effective dynamic analysis approach to investigate complex applications. ParaTrac is a user-level profiler using file system and process tracing techniques for data-intensive workflow applications. In two respects ParaTrac helps users refine the orchestration of workflows. First, the profiles of I/O characteristics enable users to quickly identify bottlenecks of underlying I/O subsystems...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.