Priyanka Raina’s group’s research on transformer inference and training accelerator was accepted and presented at VLSI 2024

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.

Workshop on Chiplet-based Heterogeneous Integration and CO-design (CHICO) organized by PIs Cao and Gupta

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 […]

Chaojian Li won 1st place in the 2024 DAC PhD 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 […]

Lin’s group won the Best Paper Award in the First IEEE International Workshop on LLM-Aided Design (LAD 2024)

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 […]

CoCoSys Holds Second Annual Review

The Center for the Co-Design of Cognitive Systems (CoCoSys) held its second annual review at Georgia Tech on March 12-13, 2024, highlighting research projects conducted through the Center over the past year.  “At the recent CoCoSys Year 2 Annual Review, we learned how CoCoSys researchers are inventing the future by combining neural, symbolic, and probabilistic […]

Priyanka Raina’s group’s research on quantized transformer inference and training gets accepted at ASPLOS 2024

The paper titled “8-bit Transformer Inference and Fine-tuning for Edge Accelerators,” authored by Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, and Priyanka Raina will be presented at ASPLOS 2024. The work has fully open-sourced its code and received all three artifact evaluation badges from ASPLOS: “Artifacts Available,” “Artifacts Evaluated,” and “Results […]

Priyanka Raina wins the 2024 Sloan Research Fellowship

“Sloan Research Fellowships are extraordinarily competitive awards involving the nominations of the most inventive and impactful early-career scientists across the U.S. and Canada,” said Adam F. Falk, president of the Alfred P. Sloan Foundation, in the announcement. “We look forward to seeing how fellows take leading roles in shaping the research agenda within their respective […]

Chaojian Li won 1st place at the 2024 College of Computing (CoC) Graduate Poster Symposium at Georgia Tech

Chaojian Li from PI Celine Lin’s group won first place at the Georgia Tech College of Computing (CoC) Graduate Poster Symposium with the poster titled ”’On-Device AR/VR 3D Reconstruction and Rendering.” The event, hosted by the Graduate Student Associations in partnership with the CoC, took place on January 26, 2024, at Georgia Tech. Chaojian presented […]

Tutorial Session at NVIDIA GTC

Yonggan Fu and Chaojian Li from PI Celine Lin’s group held a tutorial session entitled “Dive Deep into Real-Time Neural Rendering” at NVIDIA GTC, which took place at the San Jose McEnery Convention Center on March 21. Specifically, they comprehensively reviewed existing efficient neural rendering techniques and introduced three techniques developed by Lin’s group, which […]