Archive of posts tagged: Accelerators
Rethinking the Role of the Compiler in a Heterogeneous World
TL;DR: Heterogeneous hardware innovation is held back by language support. Compiler researchers need to rethink their role and embrace ideas from Software Engineering, Natural Language Procesing and Machine Learning A 50 year contract For more than 50 years we...
Datacenter Architectures: Concerns, Opportunities, and Predictions from an ISCA Mini-Panel
If you were one of the 1700 attendees of the first virtual ISCA last week, you hopefully got a chance to call in to one or more of this year’s mini-panels. Spread across 3 days and many timezones, ISCA hosted 12 mini-panels in total, which ranged in topics from...
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...Subscribe
