by Minsoo Rhu on Dec 14, 2020 | Tags: Accelerators, Machine Learning, Mobile
What is Multi-modal AI? Prior research on developing on-device AI solutions have primarily focused on improving the TOPS (Tera Operations Per Second) or TOPS/Watt of AI accelerators by leveraging sparsity, quantization, or efficient neural network architectures...
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by Prasanna Harpanhalli on Aug 3, 2020 | Tags: android, fragmentation, Mobile
With over 2 billion devices running Android, it is one of the most used operating systems on the planet. Android development follows software product lines approach and so is used in multiple business contexts. As Android supports devices of different form factors and...
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by Vijay Janapa Reddi and Mark D. Hill on Sep 3, 2019 | Tags: Accelerators, Mobile, SoC
The demand for computing performance continues to grow exponentially in part due to video and machine learning processing for applications like augmented/virtual reality and self-driving vehicles. However, the underlying advances (Moore’s Law and Dennard...
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by Vijay Janapa Reddi on Sep 10, 2018 | Tags: Accelerators, Hardware, Mobile, Specialization
The Moore’s Law engine that we have come to depend upon is sputtering. It is encouraging architects to innovate in alternative ways to keep the industry moving forward. The most widely accepted approach is using domain specific architectures, and as such, in recent...
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by Vijay Janapa Reddi on Jul 21, 2017 | Tags: Hardware, Mobile, Smartphone
The smartphone is the most pervasive mobile computing device on the planet. There are over 2.1 billion devices worldwide, and this number is rising sharply as smartphone penetration increases in emerging markets like China and India. By 2020, there will be 6 billion...
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