As part of the first day of the Virtual Heidelberg Laureate Forum (HLF) David A. Patterson, who won the 2017 ACM A.M Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry,” shared a presentation titled Architecture Innovation Accelerates Artificial Intelligence.  To begin, Patterson gave a brief overview of the history of AI: it started with top-down approaches where a programmer would attempt to describe all the rules with the proper logic for the machine, but other researchers argued that was impossible and instead advocated for a bottom up approach where you feed the machine data and it learns for itself, i.e. machine […]

The Computing Community Consortium (CCC) will hold a virtual workshop the week of Oct. 5-9 (with a reception on Fri., Oct. 2) to address the physics & engineering challenges in adiabatic/ reversible classical computing. This workshop will gather the research community in this field, lay a common foundation of existing state-of-the-art knowledge, and work together to prepare a comprehensive workshop report that can make the case for a major new initiative effectively to federal-level decision-makers. Workshop participants will be selected by invitation only. We seek short position papers to help us create the agenda for the workshop and select attendees. You may submit a position paper here, and more details […]

The following blog was originally posted in ACM SIGARCH on August 12, 2019. It is written by Computing Community Consortium (CCC) Chair Mark D. Hill from the University of Wisconsin Madison. Hill is the recipient of the 2019 Eckert-Mauchly award, a lifetime achievement award in computer architecture.  Many works present their results; this blog post seeks to aid you in developing your own great results, especially in computer architecture and systems. I learned these lessons over a career leading to an Eckert-Mauchly Award (acceptance speech). I structure this blog post with the scientific method in four steps: Pick a good problem. Develop insights and first hypotheses. Test and refine hypotheses. Repeat steps as needed. Pick A Good Problem  The first step to […]

The Computing Research Association’s Computing Community Consortium (CCC) mission is broad. Our mission is to catalyze the computing research community and enable the pursuit of innovative, high-impact research. CCC conducts activities that strengthen the research community, articulate compelling research visions, and align those visions with pressing national and global challenges. As a consequence, material on the CCC web site spans many areas of IT such as Intelligent Infrastructure, Privacy and Fairness, Artificial Intelligence, and Cybersecurity. Most IT professionals, however, only focus on one of these areas in order to make deep connections. Until recently, users had to know exactly what to search for in order to find material in their focus area. For this […]

The organizing committee for the Computing Community Consortium (CCC) sponsored Nanotechnology-Inspired Information Processing Systems has released their workshop report. The workshop, held in September 2016, brought together over 40 leading researchers from the areas of computing, neuroscience, systems, architecture, integrated circuits, and nanoscience, to come up with new ideas for the future of information processing platforms on beyond-CMOS nanoscale technologies that can approach the energy efficiency and the decision‐making capacity of the human brain. The workshop report addresses the future of nanoscale process technologies within three application-driven platform-focused topic areas and discusses the current technologies, challenges, and research opportunities in each area. The topic areas are: cloud-based systems that provide software, platforms and infrastructure as […]