Month: May 2025

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: 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, 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 […]

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 […]

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, 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 […]