News

  • Apr 2021: Dr. Krishna received tenure!!

  • Apr 2021: We ran a tutorial on SCALE-sim at ASPLOS 2021.


  • Apr 2021: Dr. Krishna co-organized a workshop “SysML4Health: Scalable Systems for ML-driven Analytics in Healthcare” at MLSys 2021 with Professors Alexey Tumanov, Vivek Sarkar (GT), Jimeng Sun (UIUC) and Dawn Song (UC Berkeley)


  • Mar 2021: Our paper titled “Enabling Compute-Communication Overlap in Distributed Training Platforms” got accepted at ISCA 2021! Congrats Saeed! Special thanks to our close collaborators from Facebook and Intel for introducing us to this research direction.


  • Feb 2021: Our paper on RASA – an efficient tensor core inside CPUs got accepted at DAC 2021! Congrats Geonhwa, Anand and Eric, and our collaborators Hyesoon Kim (Georgia Tech), Chris Hughes and Sree Subramoney (Intel Labs).


  • Jan 2021: Our paper titled Extending Sparse Tensor Accelerators to Support Multiple Compression Formats” has been accepted at IPDPS 2021! Congrats Eric Qin,  student co-authors (Geonhwa, William, Felix, Hyoukjun), Intel co-authors (Sudarshan and Dipankar) and Sandia National Lab co-authors (Gordon Moon and Siva Rajamanickam)!


  • Nov 2020: Two papers accepted at HPCA 2021! Congrats to Hyoukjun for Herald and Hossein (from Univ of Toronto) for Pitstop!


  • Oct 2020: We ran a tutorial on MAESTRO at MICRO 2020 which had over 80 attendees! The tutorial website provides a link to all slides and videos.

  • Aug 2020: Dr Krishna, Hyoukjun Kwon, Michael Pellauer (NVIDIA), Angshuman Parashar (NVIDIA) and Ananda Samajdar co-authored a Synthesis Lectures on Computer Architecture titled “Data Orchestration in Deep Learning Accelerators” which was released by Morgan & Claypool publishers.

  • Aug 2020: Dr. Krishna gave an invited talk titled Benchmarking DNN Models on Future Inference and Training Platforms at the MLBench workshop at ISPASS 2020.

  • Jul 2020: Dr. Krishna won a Facebook Faculty Research Award for AI System HW/SW Co-Design!


  • Jul 2020: Our paper on GAMMA – a genetic algorithm based framework for finding efficient mappings of DNNs on accelerators accepted at ICCAD 2020! Congrats Sheng-Chun (Felix) – on a roll!

  • Jul 2020: Our paper on ConfuciuX – a Reinforcement Learning method for Accelerator Design-Space Exploration got accepted at MICRO 2020! Congrats to Sheng-Chun (Felix) for his first paper!

The whole is greater than the sum of its parts