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 […]
The paper titled “MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating”, authored by Kartik Prabhu, Robert M. Radway, Jeffrey Yu, Kai Bartolone, Massimo Giordano, Fabian Peddinghaus, Yonatan Urman, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Subhasish Mitra, and Priyanka Raina was presented at VLSI 2024.
As a cross-center collaboration, CoCoSys PI Yu (Kevin) Cao and CHIMES PI Puneet Gupta organized the second CHICO workshop at DAC 2024 on June 23. The workshop has 10 distinguished speakers from Nhanced, Intel, IBM, Analog Devices, and other companies and universities. With more than 100 attendees, the CHICO workshop intended to promote an open forum […]
Fifth-year PhD student Chaojian Li from Celine Lin’s group won 1st place at the 2024 DAC PhD Forum with his presentation titled “Enabling On-Device 3D Reconstruction & Rendering.” This event, part of the 61st Design Automation Conference (DAC’2024), took place on June 18 at the Moscone West Center, San Francisco, CA. During the event, Chaojian […]
PI Yingyan (Celine) Lin’s group’s paper “MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation” won the Best Paper Award at the First IEEE International Workshop on LLM-Aided Design (LAD 2024), standing out from all 28 accepted papers. The paper is authored by Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, and Yingyan (Celine) Lin, all members […]