PI Yingyan (Celine) Lin, an Associate Professor at Georgia Tech, has been invited to serve as Program Co-Chair for MLSys 2025, the Eighth Conference on Machine Learning and Systems. This prestigious conference focuses on research at the intersection of machine learning and systems, fostering connections across these fields. It aims to identify best practices, establish […]
PI Yingyan (Celine) Lin’s research group was honored with the Best Paper Award at the 2024 International Symposium on Microarchitecture (MICRO) for their work, “Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.” Supported by CoCoSys, the paper was praised by the Best Paper Selection Committee for its “compelling end-to-end demonstration of an emerging […]
PI Yingyan (Celine) Lin’s research group has been honored with a Best Paper Candidate nomination at MICRO 2024 for their work titled “Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.” The paper, co-authored by Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, and Prof. Yingyan […]
Zishen Wan, a PhD student at Georgia Tech advised by Arijit Raychowdhury and Tushar Krishna won a Best Presentation Award at TECHCON 2024 for his work titled “H3DFACT: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations.” This work, done in collaboration with CoCoSys researchers Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar […]
Avanish Narumanchi (Georgia Tech) recently received a Top 3 Undergrad Presentation Award at TECHCON 2024 for his work entitled “Investigating the Effects of Device Geometry and an Alternative Write Current Scheme on Write Time and Switching Energy of SOT-MRAMs,” which investigates ways to make faster and more energy-efficient memory devices. As one of eighteen CoCoSys […]
Prof. Yingyan Celine Lin, Georgia Tech, has made outstanding contributions to electrical and computer engineering, particularly in artificial intelligence (AI), which has significantly advanced the field. Indeed, Professor Lin has numerous publications in top-tier venues. Her work has earned accolades such as an IEEE Micro Top Pick of 2023 and First Place in both the ACM […]
Professor Anand Raghunathan, the Silicon Valley Professor of Electrical and Computer Engineering at Purdue University, is recognized for his pioneering contributions to approximate computing and the design of artificial intelligence hardware with the 2024 Technical Excellence Award. Prof. Raghunathan’s groundbreaking research has established the field of approximate computing and significantly advanced the design of efficient […]
Kartik Prabhu presented a talk titled “A High-Level Synthesis Based Framework for Design Space Exploration and Generation of Neural Network Accelerators,” authored by Kartik Prabhu, Jeffrey Yu, Suresh Nambi, and Priyanka Raina, at the AI for Fully-Automated Chip Design (AI4FACD) Workshop at ISCA 2024 in Buenos Aires, Argentina.
Anand Raghunathan was named one of 68 Association for Computing Machinery (ACM) Fellows for contributions to the design of energy-efficient computing systems through design automation and approximate computing. ACM Fellows represent just 1% of our entire global membership and are selected for transformative contributions to computing science and technology.
CoCoSys Co-Director Anand Raghunathan was chosen to receive Purdue University’s Arden L. Bement Jr. Award. The award is given annually to a university researcher who has made highly significant and impactful contributions in pure and applied sciences and engineering. Raghunathan was recognized for his pioneering work in making AI systems more energy-efficient through specialized hardware […]