by RLE at MIT | Feb 15, 2023 | RLE Recent Papers
Haowei Xu, Changhao Li, Guoqing Wang, Hua Wang, Hao Tang, Ariel Rebekah Barr, Paola Cappellaro, and Ju Li doi: 10.1103/PhysRevX.13.011017 Abstract: Photons and nuclear spins are two well-known building blocks in quantum information science and technology....
by RLE at MIT | Feb 10, 2023 | RLE Recent Papers
Jack Y. Qiu, Arne Grimsmo, Kaidong Peng, Bharath Kannan, Benjamin Lienhard, Youngkyu Sung, Philip Krantz, Vladimir Bolkhovsky, Greg Calusine, David Kim, Alex Melville, Bethany M. Niedzielski, Jonilyn...
by RLE at MIT | Feb 6, 2023 | RLE Recent Papers
Jiho Shin, Hyunseok Kim, Suresh Sundaram, Junseok Jeong, Bo-In Park, Celesta S. Chang, Joonghoon Choi, Taemin Kim, Mayuran Saravanapavanantham, Kuangye Lu, Sungkyu Kim, Jun Min Suh, Ki Seok Kim, Min-Kyu Song, Yunpeng Liu, Kuan Qiao, Jae Hwan Kim, Yeongin Kim, Ji-Hoon...
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
S. Sudhakar, V. Sze, S. Karaman, “Data Centers on Wheels: Emissions from Computing Onboard Autonomous Vehicles,” to appear in IEEE Micro, Special Issue on Environmentally Sustainable Computing. [ PDF ] Abstract: While much attention has been paid...
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
Y. N. Wu, P. Tsai, A. Parashar, V. Sze, J. Emer, “Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling,” ACM/IEEE International Symposium on Microarchitecture (MICRO), October 2022. [ paper PDF | project website LINK |...
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
P. Z. X. Li, S. Karaman, V. Sze, “Memory-Efficient Gaussian Fitting for Depth Images in Real Time,” IEEE International Conference on Robotics and Automation (ICRA), May 2022. [ PDF ] Abstract: Computing consumes a significant portion of energy in many...