Ruokai Yin and Arkapravo Ghosh, PhD students in PI Priya Panda’s group, have been selected as DAC Young Fellows of the 2025 Design Automation Conference (DAC). The DAC Young Fellow program is designed for students entering the world of Electronic Design Automation, from Chips to Systems. Each year, approximately 150 students across the globe are […]
Arkapravo Ghosh, a Ph.D. student in PI Priyadarshini Panda’s group, presented his research at two prestigious venues in 2025. His work on diffusion-driven accelerator design was selected for the MLSys Young Professional Symposium 2025, sponsored by NSF, Google, Meta, Qualcomm, and other leading technology companies. An advanced version of this work was presented in the […]
Tushar Krishna was one of the five winners of the Under-40 Innovator’s Award at the 62nd Design Automation Conference (DAC), held in San Francisco from June 22-26, 2025. The Under-40 Innovators Award honors individuals in industry or academia with technical contributions of notable impact in the field of design and automation of electronics.
Sixu Li, a Ph.D. student in PI Yingyan (Celine) Lin’s group, has been awarded 3rd Place at the Ph.D. Forum of the 2025 Design Automation Conference (DAC). The DAC Ph.D. Forum, co-hosted by ACM SIGDA and IEEE CEDA, is a prestigious poster session where selected Ph.D. students present and discuss their dissertation work with the […]
PI Priyanka Raina was invited to present at Stanford’s SystemX Alliance 2025 Spring Workshop on “Designing Chips for AI with AI”, where she gave a talk on “Automated Design Space Exploration and Generation of AI Accelerators” based on her COCOSYS research.
PI Priyanka Raina was invited by the Royal Society, London to present at the “Bits, neurons, and qubits for sustainable AI” workshop, where she gave a talk on “Automated Design Space Exploration and Generation of AI Accelerators” based on her COCOSYS research.
Theme I Leader Naresh Shanbhag organized a JUMP 2.0 Workshop on “Requirements on Compute and Connectivity for Data Centers” with speakers from COCOSYS, CUBIC, PRISM, and ACE on February 27, 2025. This workshop had a record attendance of 191 and led to the formation of the Compute-Connectivity (COCO) Working Group with representatives from the aforementioned […]
Cambridge Yang recently graduated from the Massachusetts Institute of Technology with his Ph.D. in Electrical Engineering and Computer Science, completing his dissertation on “On the Learnability of General Reinforcement-learning Objectives” under the supervision of Professor Michael Carbin. Yang’s research addresses fundamental limitations in reinforcement learning by moving beyond traditional reward-based approaches to establish a theoretical […]
Researchers from the Massachusetts Institute of Technology, POSTECH, and KAIST have created SingularFlow, the first programming language with well-defined semantics for integrating and differentiating singular functions—mathematical functions that become undefined at certain points. The system addresses a fundamental challenge in scientific computing where traditional programming languages struggle with singularities that arise in physics, aerodynamics, mechanical […]
Researchers from the Massachusetts Institute of Technology and Google have developed Pasta, a novel technique that enables large language models to parallelize their own text generation by producing semantically independent parts of responses simultaneously. The system teaches models to identify and annotate opportunities for asynchronous generation, enabling a purpose-built inference system to decode multiple sub-parts […]