Editors:
Tianyin Xu, Akshitha Sriraman, Baris Kasikci, and Dong Du
Glia: A Human-Inspired AI for Systems Design and Optimization
Editors’ note: For the third The Next Horizon of System Intelligence series, we invited the Glia team from MIT to share their work on developing human-inspired AI for system design and optimizations. The last blog article defined the ladder of System Intelligence based on the learning experience of PhD students and Glia is such a PhD-level
Defining System Intelligence
Editors’ note. For the second article of the The Next Horizon of System Intelligence series, the team from Microsoft Research and University of Illinois Urbana Champaign shares their efforts on defining System Intelligence and their perspective on realizing it through benchmarks as an initial foundation. They are calling for community contributions to enrich existing benchmarks and create
From Theory to Practice: Introducing Architectural Prisms, an Experiment in AI-First Academic Dialogue
Editor’s notes: This article is cross-referenced from the SIGARCH Blog. The problem described in the article also applies to the SIGOPS community. Certainly, whether to ask AI for help in the paper review systems should be a community decision and must be done in the right way. A little while ago, I published a post
Wafer-Scale AI Compute: A System Software Perspective
This article originally appeared in USENIX ;login: magazine, shepherded by Rik Farrow. As AI models grow larger and more complex, traditional computing architectures are hitting performance and efficiency limits. A new class of hardware, wafer-scale AI chips, pushes these boundaries by integrating hundreds of thousands of cores and massive on-chip memory onto a single wafer.
Barbarians at The Gate: How AI is Upending Systems Research
Editors’ note: For the first article of the The Next Horizon of System Intelligence series, we invite the ADRS team from Berkeley to share their recent work which has raised very active discussions in the community. AI is no longer just tuning systems as a “black box.” It’s now rewriting their core algorithms by treating
The Next Horizon of System Intelligence
Editor’s note: The authors are opening a blog series on the timely topic of system intelligence and the future of systems research with the intelligence as a new capability. They are actively looking for contributors to share ideas, viewpoints, and experiences. Why This Blog Series? Generative AI, as represented by Large Language Models (LLMs), has