2017 | OriginalPaper | Chapter
7. Work-Unit Tolerance
Authors : Abbas Rahimi, Luca Benini, Rajesh K. Gupta
Published in: From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators
Publisher: Springer International Publishing
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Abstract
task
, sections
, and for
. Using the notion of work-unit vulnerability (WUV) proposed here, we capture timing errors caused by circuit-level variability as high-level software knowledge. WUV consists of descriptive metadata to characterize the impact of variability on different work-unit types running on various cores. As such, WUV provides a useful abstraction of hardware variability to efficiently allocate a given work-unit to a suitable core for execution. VOMP enables hardware/software collaboration with online variability monitors in hardware and runtime scheduling in software. The hardware provides online per-core characterization of WUV metadata. This metadata is made available by carefully placing key data structures in a shared L1 memory and is used by VOMP schedulers. Our results show that VOMP greatly reduces the cost of timing error recovery compared to the baseline schedulers of OpenMP, yielding speedup of 3–36% for tasks, and 26–49% for sections. Further, VOMP reaches energy saving of 2–46% and 15–50% for tasks and sections, respectively.