HotCarbon’2023
Session 1: Systems
This session focuses on systems energy and carbon quantification and optimization, including CPU, GPU, DRAMs, their configuration, tools, and accuracy evaluation.
Jiechen Zhao (University of Toronto); Katie Lim, Thomas Anderson (University of Washington); Natalie Enright Jerger (University of Toronto)
Andreas Schmidt, Gregory Stock, Robin Ohs (Saarland Informatics Campus); Luis Gerhorst (Friedrich-Alexander-Universität Erlangen-Nürnberg); Benedict Herzog, Timo Hönig (Ruhr-Universität Bochum (RUB))
Sven Köhler (Hasso-Plattner-Institut (HPI)); Benedict Herzog, Henriette Hofmeier, Manuel Vögele (Ruhr-Universität Bochum (RUB)); Lukas Wenzel, Andreas Polze (Hasso-Plattner-Institut (HPI)); Timo Hönig (Ruhr-Universität Bochum (RUB))
Hongyu Hè, Michal Friedman (ETH); Theodoros Rekatsinas (Apple Inc.)
Sudarsun Kannan, Ulrich Kremer (Rutgers University)
Session 2: Multi Clouds: Unique challenges and opportunities
This session focuses on the unique challenges and potential research opportunities related to cloud environments.
Diptyaroop Maji (University of Massachusetts Amherst); Ben Pfaff (Feldera); Rajagopal Sreenivasan (VMware); Colleen Josephson (VMware and UC Santa Cruz); Sreeram Iyer, Zhelong Pan, Vipin Padmam Ramesh, Victor Firoiu (VMware); Ramesh K Sitaraman (UMass Amherst & Akamai Tech)
Jialun Lyu (Microsoft and University of Toronto); Jaylen Wang (Microsoft and Carnegie Mellon University); Kali Frost (Microsoft Research); Chaojie Zhang, Celine Irvene, Esha Choukse, Rodrigo Fonseca, Ricardo Bianchini, Fiodar Kazhamiaka (Microsoft Azure); Daniel S. Berger (Microsoft Azure and University of Washington)
Jaylen Wang (Carnegie Mellon University); Udit Gupta (Cornell University); Akshitha Sriraman (Carnegie Mellon University / Google)
Rohan Arora (IBM Research); UmaMaheswari Devi (IBM Research - India); Tamar Eilam (IBM); Aanchal Goyal (IBM Research - India); Chandra Narayanaswami, Pritish Parida (IBM Research)
Pratyush Patel, Theo Gregersen, Thomas Anderson (University of Washington)
Session 3: Data and AI
This session focuses on the unique challenges and opportunities in addressing the rising energy and carbon cost of Data and AI.
Andrew A. Chien (University of Chicago and Argonne National Laboratory); Liuzixuan Lin, Hai Nguyen, Varsha Rao, Tristan Sharma, Rajini Wijayawardana (University of Chicago)
Tamar Eilam (IBM T. J. Watson Research Center); Pedro Bello-Maldonado (IBM Thomas J. Watson Research Center); Bishwaranjan Bhattacharjee (IBM T. J. Watson Research Center); Carlos Costa (IBM Thomas J. Watson Research Center); Eun Kyung Lee (IBM T. J. Watson Research Center); Asser Tantawi (IBM Thomas J. Watson Research Center)
Gabriel Mersy, Sanjay Krishnan (The University of Chicago)
Session 4: The Life Cycle of Applications
This session focuses on tradeoffs across the life cycle such as embodied carbon calculation, tradeoffs between energy and carbon, and also, global policy issues.
Noman Bashir, David Irwin, Prashant Shenoy (University of Massachusetts Amherst)
Mariam Elgamal (Harvard University); Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta (Meta); Gu-Yeon Wei (Harvard University); David Brooks (Harvard University/Meta); Gage Hills (Harvard University); Carole-Jean Wu (Meta)
Romain Jacob, Jackie Lim, Laurent Vanbever (ETH Zürich)
Tingyu Cheng (Georgia Institute of Technology); Gregory D. Abowd (Northeastern University); Hyunjoo Oh, Josiah Hester (Georgia Institute of Technology)
Walid A. Hanafy, Roozbeh Bostandoost, Noman Bashir, David Irwin, Mohammad Hajiesmaili, Prashant Shenoy (University of Massachusetts Amherst)
Jackson Woodruff, David Schall, Michael O’Boyle (University of Edinburgh); Christopher Woodruff (University of Oxford)
Panel: “Can AI be sustainable?”
Panelists: Martha Kim (Columbia Univ.), Ramya Raghavendra (Meta), Huamin Chen (RedHat), Andrew Chien (Univ. of Chicago), Sanjay Krishnan (Univ. of Chicago)