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06/06/2023
Fifty Years of ISCA: A data-driven retrospective on key trends
Computer Architecture, broadly, involves optimizing hardware and softwar...
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04/04/2023
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings
In response to innovations in machine learning (ML) models, production w...
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05/14/2022
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they ...
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04/11/2022
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
Machine Learning (ML) workloads have rapidly grown in importance, but ra...
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04/21/2021
Carbon Emissions and Large Neural Network Training
The computation demand for machine learning (ML) has grown rapidly recen...
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03/10/2020
Benchmarking TinyML Systems: Challenges and Direction
Recent advancements in ultra-low-power machine learning (TinyML) hardwar...
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10/02/2019
MLPerf Training Benchmark
Machine learning is experiencing an explosion of software and hardware s...
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12/15/2017
A Berkeley View of Systems Challenges for AI
With the increasing commoditization of computer vision, speech recogniti...
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04/16/2017