One of the most pressing challenges facing today’s digital society is how to curb the relentless increase in the energy consumption of computing. Without major action, such an increase is even likely to accelerate, as ubiquitous AI models are embedded
Architecture 2.0: Why Computer Architects Need a Data-Centric AI Gymnasium
Machine learning-driven computer architecture tools and methods have the potential to drastically shape the future of computer architecture. The question is: how can we lay the foundation to effectively usher in this era? In this post, we delve into the
How did the road to new adventure in Superconductor Neural Network Accelerator happen?
1: What is Superconductor SFQ? Moore’s Law, doubling the number of transistors in a chip every two years, has so far contributed to the evolution of computer systems. Unfortunately, we cannot expect sustainable transistor shrinking anymore, marking the beginning of
Neuroscience and Computer Architecture
The Happy Hour with Architects hosts prominent researchers from academia and industry to discuss different topics related to computer architecture. We hope to create a sense of community during this pandemic by providing a platform to discuss and debate research
Systematic and Structured Approach to Designing Deep Learning Accelerators
Advances in deep learning have become the main drivers of revolutions in various commercial and enterprise applications. Due to the increasing model size and the large amount of training data, in recent years, we have witnessed a phenomenal paradigm shift