Archive of posts tagged: Machine Learning
Architecture Innovation Accelerates Artificial Intelligence
[Editor’s Note: This article originally appeared on the blogs of the HLF and the CCC and is re-posted here with permission.] As part of the first day of the Virtual Heidelberg Laureate Forum (HLF) David A. Patterson, who won the 2017 ACM A.M Turing Award “for...
Building Performance Scalable and Composable Machine Learning Accelerators
To meet machine learning (ML) practitioners’ insatiable demand for higher processing power, computer architects have been at the forefront of developing accelerated computing solutions for ML that fundamentally changed the landscape of the computing industry. Given...
Rethinking Neural Network Dataflow in Larger Scales
Deep learning, with its most representative algorithm, deep neural networks, has been the primary driving force for the recent rapid development of high-performance computing systems. Hardware researchers are proposing a large number of specialized chip architectures...
Deep Learning: It’s Not All About Recognizing Cats and Dogs
We live in the era of machine learning. As Geoff Hinton and Yann LeCun emphasized in their recent Turing lecture, the rise of machine learning (ML) was in great part facilitated by cheap and easy to use high-performance computing that has allowed ML models to be...Subscribe
