Approximate Associative Memristive Memory for Energy-Efficient GPUs

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Provided by: University of California
Topic: Hardware
Format: PDF
Multimedia applications running on thousands of deep and wide pipelines working concurrently in GPUs have been an important target for power minimization both at the architectural and algorithmic levels. At the hardware level, energy-efficiency techniques that employ voltage overscaling face a barrier so-called "Path walls": reducing operating voltage beyond a certain point generates massive number of timing errors that are impractical to tolerate. The authors propose an architectural innovation, called A2M2 module (approximate associative memristive memory) that exhibits few tolerable timing errors suitable for GPU applications under voltage overscaling.
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