SCHEDULE: NOV 16-22, 2013
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High Performance Runtime for Next Generation Parallel Programming Languages
SESSION: Doctoral Showcase - Dissertation Research
EVENT TYPE: Doctoral Showcase - Dissertation Research Showcase
TIME: 2:00PM - 2:15PM
SESSION CHAIR: Alistair Rendell
Presenter(s):Vivek Kumar
ROOM:601/603
ABSTRACT:
Processor design is moving toward large-scale parallelism, heterogeneous cores and accelerators to achieve performance and energy efficiency. Work-stealing is proven to be a promising approach for productively exploiting the software parallelism on these modern hardware. Despite the benefits, work-stealing approach incur some form of overheads as a necessary side effect of their implementation.
This thesis identifies key sources of overheads in work-stealing scheduler, namely sequential and dynamic overhead. It proposes several novel techniques to reduce these overheads and evaluates the design using a range of benchmarks, and a variety of work-stealing implementations. Our new design can reduce the sequential overheads to just 15% and almost halves the dynamic overhead, leading to substantial performance improvements. These results and our insight into the sources of overhead for work-stealing implementations give further hope to an already promising technique for exploiting increasingly available hardware parallelism.
Chair/Presenter Details:
Alistair Rendell (Chair) - Australian National University
Vivek Kumar - Australian National University
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