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From Communications of the ACM

Neural Acceleration For General-Purpose Approximate Programs

This paper describes a new approach that uses machine learning-based transformations to accelerate approximation-tolerant programs. Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
From Communications of the ACM | January 2015

From Communications of the ACM

Power Challenges May End the Multicore Era

Tthe microprocessor industry has shifted to multicore scaling as its principal strategy for continuing performance growth. However, while transistor count increases... Hadi Esmaeilzadeh, Emily Blem, Renée St. Amant, Karthikeyan Sankaralingam, Doug Burger
From Communications of the ACM | February 2013