Teaching LLMs to Parallelize Their Own Generations

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 […]

Weiwen Tian joins DiCarlo’s CoCoSys team

Harvard University graduate student Weiwen Tian has been recruited to join DiCarlo’s CoCoSys team. Weiwen’s thesis work focuses on developing computational models of visually guided grasping behaviors in humans. Her work seeks an understanding of how the visual system infers 3D spatial information from 2D retinal inputs to guide grasping, and how these visual representations […]

Qualcomm Innovation Fellowship Awarded to Purdue ECE PhD Students for ML-Powered Tool to assist modern Chip design

Two CoCoSys PhD students from Purdue University have been named winners of the highly competitive Qualcomm Innovation Fellowship for their groundbreaking research aimed at enhancing energy efficiency in modern computing systems. Sujay Pandit and Aradhana Mohan Parvathy are students of Anand Raghunathan, Silicon Valley Professor of Electrical and Computer Engineering. The fellowship recognizes innovative research […]

Akshat Ramachandran and Zishen Wan won second and third place, respectively, at ACM Student Research Competition.

CoCoSys PhD students Akshat Ramachandran and Zishen Wan, both advised by PI Tushar Krishna, won second and third position, respectively, at the ACM Student Research Competition held at MICRO 2024. Their respective papers were “MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization” and “Demystifying Neuro-Symbolic AI through Workload Characterization and Software-Hardware Co-Design.”

Aspen will be presented at CICC 2025

“Aspen: A 630 FPS Real-Time Posit-Based Unified Accelerator for Extended Reality” authored by Kathleen Feng, Kartik Prabhu, Kai Bartolone, Jeffrey Yu and Priyanka Raina will be presented at CICC 2025.

Sixu Li was Selected as a 2025 ML and Systems Rising Star

Sixu Li, a PhD student in PI Yingyan (Celine) Lin’s group, has been named one of the 2025 ML and Systems Rising Stars, an honor reserved for outstanding PhD students working at the intersection of machine learning and systems. This recognition is a testament to his many research contributions supported by CoCoSys, including his first-author […]

Heck Honored with Test of Time Award for Groundbreaking Research in Deep Learning for Web Search

PI Larry Heck’s influential research on deep learning for web search was recently honored with the Test of Time Award by the Conference on Information and Knowledge Management (CIKM). This prestigious award recognizes CIKM papers published over a decade ago that have made a significant and lasting impact on the research community. Heck received the […]

PI Larry Heck Elected to 2024 Class of National Academy of Inventors (NAI) Fellows

Technology Licensing celebrates Professor Larry Heck, Executive Director of the Machine Learning Center and Professor with joint appointments in the School of Electrical and Computer Engineering and the College of Computing, on his election to the 2024 class of National Academy of Inventors Fellows. This honor recognizes Professor Heck’s exceptional contributions to innovation, advancing technology, […]

CoCoSys Co-Director Anand Raghunathan receives IEEE Technical Achievement Award

CoCoSys Co-director Anand Raghunathan, the Silicon Valley Professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, has been honored with the IEEE Computer Society 2025 Edward J. McCluskey Technical Achievement Award. He is being recognized for his “pioneering contributions to the field of approximate computing and its application to the design of […]