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pro vyhledávání: '"Li Haitong"'
Throughout its lifecycle, a large language model (LLM) generates a substantially larger carbon footprint during inference than training. LLM inference requests vary in batch size, prompt length, and token generation number, while cloud providers empl
Externí odkaz:
http://arxiv.org/abs/2410.02950
Publikováno v:
In Technological Forecasting & Social Change October 2024 207
Publikováno v:
In Technological Forecasting & Social Change September 2024 206
Publikováno v:
In Research in International Business and Finance August 2024 71
Resistive-random-access-memory (ReRAM) based processing-in-memory (R$^2$PIM) accelerators show promise in bridging the gap between Internet of Thing devices' constrained resources and Convolutional/Deep Neural Networks' (CNNs/DNNs') prohibitive energ
Externí odkaz:
http://arxiv.org/abs/2005.01206
Publikováno v:
In Nonlinear Analysis: Real World Applications December 2023 74
Akademický článek
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Autor:
Rahimi, Abbas, Wu, Tony F., Li, Haitong, Rabaey, Jan M., Wong, H. -S. Philip, Shulaker, Max M., Mitra, Subhasish
One viable solution for continuous reduction in energy-per-operation is to rethink functionality to cope with uncertainty by adopting computational approaches that are inherently robust to uncertainty. It requires a novel look at data representations
Externí odkaz:
http://arxiv.org/abs/1811.09557
Publikováno v:
In Research in International Business and Finance April 2023 65
Publikováno v:
In Results in Engineering March 2023 17