Reducing Embodied Carbon is Important
A recent post raises awareness of the challenges of reducing operational carbon, while also controversially challenging the importance of embodied carbon. We rebut the arguments raised against using embodied carbon as a design metric and conclude by advocating for more research on reducing embodied carbon.
Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem
I. Embodied Carbon Recently, embodied carbon, defined as the Scope 3 GHG emissions that arise from the manufacturing processes that lead to computing electronics, has become popular as an architectural metric for sustainability. If you are considering it or using it,...
Emerging Fault Modes: Challenges and Research Opportunities
Overview Reliability is essential for computing. However, as technology nodes have scaled, there have been several fundamental physical challenges to overcome to provide the abstraction of reliability. One such challenge has been the emergence of marginal...
ISCA@50 Retrospective: 1996-2020
Dear members of the SIGARCH and TCCA communities, In 1998, in commemoration of the 25th anniversary of ISCA, Guri Sohi put together a volume of selected papers and author retrospectives from 1973 through 1995 (ISCA-1 through ISCA-22) with help from several program...Celebrating 50 years of ACM SIGARCH: Building a Computer Architecture Community
Babak Falsafi is a Professor in the School of Computer and Communication Sciences at EPFL, in Lausanne, and has served as ACM SIGARCH Chair since 2019. David A. Wood is Professor Emeritus in the Computer Sciences Department of the University of Wisconsin, Madison and served as ACM SIGARCH Chair 2011-2015.
What Are the Most Cited ISCA Papers?
I was recently talking to my UC Berkeley colleague Sophia Shao about the 50th International Symposium on Computer Architecture (ISCA) on June 17, and we discussed which papers are highly cited. The conversation inspired me to try to find the 50 most cited papers from...
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 transformative...
Is It Time To Give Memory Allocator Its Own Room In The House?
Implications of Machine Learning (ML), be the training or inference serving, have steered systems and architecture research accordingly. A significant amount of work is happening in the Systems for ML space ranging from building efficient systems for data...
Interactively Translating Unstructured Natural Language to Temporal Logics with nl2spec
Acknowledgements: This blogpost discusses joint work between the author and Matthias Cosler, Christopher Hahn, Daniel Mendoza, and Frederik Schmitt. Introduction A rigorous formalization of desired system requirements is indispensable when performing any verification...Subscribe
