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AxBench: A Benchmark Suite for Approximate Computing Across the System Stack
(Georgia Institute of Technology, 2016)
As the end of Dennard scaling looms, both the semiconductor industry and the research community are exploring for innovative solutions that allow energy efficiency and performance to continue to scale. Approximation ...
TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning
(Georgia Institute of Technology, 2015)
A growing number of commercial and enterprise systems increasingly rely on compute-intensive machine learning algorithms. While the demand for these compute-intensive applications is growing, the performance benefits from ...