Envisioning a future of digital twins leads to near limitless possibilities. Researchers predict digital twins will become increasingly personalized, with every individual having access to a digital twin of their own body. Imagine receiving real time updates from your phone to monitor your health conditions and predict health crises before they happen, or athletes receiving instant updates on their training regimens and recommendations for improving. This future is possible, however significant further research is necessary.    In addition, researchers and stakeholders need to be realistic about the current capabilities of these models, as well as informed about the future of development. That is why the Networking and Information Technology Research […]

The CCC held the Systems and Applications Challenges for the Emerging Bazaar of Accelerators workshop in August of 2023 in Washington, DC. The workshop was organized by Catherine Schuman (University of Tennessee, Knoxville and CCC Full Stack Task Force member) and John Shalf (Lawrence Berkeley National Laboratory), and was supported by Thomas Conte (Georgia Institute of Technology and previous CCC Council member). The workshop, which was attended by about 25 participants from industry, academia, and government, focused on the challenges associated with a future of computing with ubiquitous heterogeneous accelerators.  As the end of Moore’s Law has come and gone, future performance gains are increasingly dependent on specialized computer architecture. […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 5, we share the Q&A portion of the panel. The panel comprised Jayson Lynch (Massachusetts Institute of Technology), Gabriel Manso (Massachusetts Institute of Technology), and Mehmet Belviranli (Colorado School of Mines), and was moderated by Neil Thompson (Massachusetts Institute of Technology).   Neil Thompson: “Gabriel, you highlighted just how dramatic the escalation in the amount of computing being used by these models is, and […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 4, we hear from Dr. Mehmet Belviranli, an Assistant Professor of computer science at Colorado School of Mines, in his presentation, titled, “Taming Diversely Heterogeneous Compute Systems.”   Dr. Mehmet Belviranli rounded out the panel by discussing heterogeneous compute systems, and their role in accelerating computing. “Heterogeneous computing”, said Belviranli, “is any kind of computing, in addition to CPUs, that relies on other architectures […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 3, we hear from Dr. Jayson Lynch, a Research Scientist in the FutureTech lab at Massachusetts Institute of Technology, who explains the speed at which algorithms are improving.   Dr. Jayson Lynch began their presentation by addressing the cliffhanger that Manso ended on: how quickly are algorithms improving, and will these algorithms serve as partial solution to the growing need for compute? “The main […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 2, we hear from Gabriel Manso, a first year PhD student at Massachusetts Institute of Technology, who explains the computational limits of deep learning.   Gabriel Manso, a first-year PhD student at MIT and a member of the MIT FutureTech research group, discussed the computational limits of deep learning along with insights from his research. Deep learning is pervasive across most areas of science […]