Archive of posts tagged: Machine Learning
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...
The First Trillion-Transistor Chip: A New Design Space
There was stunning news at the HotChips-31 conference held at Stanford Memorial Auditorium last week. Cerebras, a startup company working on machine learning accelerators in stealth mode, finally came out and presented a groundbreaking accelerator chip packed with 1.2...Subscribe
