ALook - adaptive lookup for GPGPU acceleration

Daniel Peroni
Daniel Peroni
Mohsen Imani
Mohsen Imani

ASP-DAC, pp. 739-746, 2019.

Cited by: 3|Bibtex|Views30|DOI:https://doi.org/10.1145/3287624.3287634
EI
Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Associative memory in form of look-up table can decrease the energy consumption of GPGPU applications by exploiting data locality and reducing the number redundant computations. State of the art architectures utilize associative memory as static look-up tables. Static designs lack the ability to adapt to applications at runtime, limiting ...More

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