Sunil Shukla

37 papers A* 5A 2B 1C 2Misc 2Journal 6Unranked 17
YearRankTypeTitle / Venue / Authors
2023 — conf
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS.
VLSI Technology and Circuits
Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet, Robert Casatuta, Mingu Kang, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2023 — conf
D1: A 7nm ML Training Processor with Wave Clock Distribution.
ISSCC
Tim C. Fischer, Anantha Kumar Nivarti, Raghuvir Ramachandran, Ram Bharti, Derek Carson, Anton Lawrendra, Vineet Mudgal, Vivek Santhosh, Sunil Shukla, Te-Chen Tsai
2022 J jnl
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling.
IEEE J. Solid State Circuits
Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2022 — conf
Sensor based Smart Plant Monitoring using IOT and Deep Learning: A Systematic Approach.
ICCCS
Sukhdeep Kaur, Kapil Joshi, Mudduluru Charan Teja, Ajay Singh, Amen A. Khabeer, Sunil Shukla
2021 — conf
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling.
ISSCC
Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021 A* conf
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.
ISCA
Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2020 — conf
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference.
VLSI Circuits
Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2020 J jnl
Efficient AI System Design With Cross-Layer Approximate Computing.
Proc. IEEE
Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
2018 — conf
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference.
VLSI Circuits
Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018 A conf
Across the Stack Opportunities for Deep Learning Acceleration.
ISLPED
Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2017 A* conf
Accelerator Design for Deep Learning Training: Extended Abstract: Invited.
DAC
Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
2016 — conf
Approximate computing: Challenges and opportunities.
ICRC
Ankur Agrawal, Jungwook Choi, Kailash Gopalakrishnan, Suyog Gupta, Ravi Nair, Jinwook Oh, Daniel A. Prener, Sunil Shukla, Vijayalakshmi Srinivasan, Zehra Sura
2015 Misc conf
Cycle-Accurate Replay and Debugging of Running FPGA Systems.
FCCM
Sunil Shukla, David F. Bacon
2015 — conf
Growing a Software Language for Hardware Design.
SNAPL
Joshua S. Auerbach, David F. Bacon, Perry Cheng, Stephen J. Fink, Rodric M. Rabbah, Sunil Shukla
2014 C conf
Parallel real-time garbage collection of multiple heaps in reconfigurable hardware.
ISMM
David F. Bacon, Perry Cheng, Sunil Shukla
2013 J jnl
And then there were none: a stall-free real-time garbage collector for reconfigurable hardware.
Commun. ACM
David F. Bacon, Perry Cheng, Sunil Shukla
2013 J jnl
FPGA Programming for the Masses.
ACM Queue
David F. Bacon, Rodric M. Rabbah, Sunil Shukla
2013 J jnl
FPGA programming for the masses.
Commun. ACM
David F. Bacon, Rodric M. Rabbah, Sunil Shukla
2013 J jnl
QUKU: A dual-layer reconfigurable architecture.
ACM Trans. Embed. Comput. Syst.
Neil W. Bergmann, Sunil Shukla, Jürgen Becker
2013 — conf
The Liquid Metal IP bridge.
ASP-DAC
Perry Cheng, Stephen J. Fink, Rodric M. Rabbah, Sunil Shukla
2012 A* conf
A compiler and runtime for heterogeneous computing.
DAC
Joshua S. Auerbach, David F. Bacon, Ioana Burcea, Perry Cheng, Stephen J. Fink, Rodric M. Rabbah, Sunil Shukla
2012 A* conf
And then there were none: a stall-free real-time garbage collector for reconfigurable hardware.
PLDI
David F. Bacon, Perry Cheng, Sunil Shukla
2011 A* conf
Virtualization of heterogeneous machines hardware description in a synthesizable object-oriented language.
DAC
Joshua S. Auerbach, David F. Bacon, Perry Cheng, Rodric M. Rabbah, Sunil Shukla
2010 C conf
FPGA-based combined architecture for stream categorization and intrusion detection.
MEMOCODE
Sunil Shukla, Rodric M. Rabbah, Martin Vorbach
2010 — conf
Improving intelligibility of synthesized speech in noise with emphasized prosody.
ExLing
Sunil Shukla
2008 — conf
A Web Server Based Edge Detector Implementation in FPGA.
ISVLSI
Sunil Shukla, Neil W. Bergmann, Jürgen Becker
2008 — —
QUKU: A Mixed Grain Dynamically Reconfigurable Architecture for High Performance Computing
Sunil Shukla
2007 — —
Improving High Quality Concatenative Text-to-Speech Using the Circular Linear Prediction Model.
Sunil Shukla
2007 — conf
Improving High Quality TTS using Circular Linear Prediction and Constant Pitch Transform.
ICASSP (4)
Sunil Shukla, Thomas P. Barnwell III
2007 A conf
QUKU: A FPGA Based Flexible Coarse Grain Architecture Design Paradigm using Process Networks.
IPDPS
Sunil Shukla, Neil W. Bergmann, Jürgen Becker
2006 B conf
From Equation to VHDL: Using Rewriting Logic for Automated Function Generation.
FPL
Carlos Morra, M. Sackmann, Sunil Shukla, Jürgen Becker, Reiner W. Hartenstein
2006 — conf
QUKU: A Coarse Grained Paradigm for FPGAs.
Dynamically Reconfigurable Architectures
Sunil Shukla, Neil W. Bergmann, Jürgen Becker
2006 — conf
QUKU: A Fast Run Time Reconfigurable Platform for Image Edge Detection.
ARC
Sunil Shukla, Neil W. Bergmann, Jürgen Becker
2006 — conf
QUKU: A Two-Level Reconfigurable Architecture.
ISVLSI
Sunil Shukla, Neil W. Bergmann, Jürgen Becker
2004 — conf
Single bit error correction implementation in CRC-16 on FPGA.
FPT
Sunil Shukla, Neil W. Bergmann
2002 — conf
A Fault Modeling Technique to Test Memory BIST Algorithms.
MTDT
Raja Venkatesh, Sailesh Kumar, Joji Philip, Sunil Shukla
2002 Misc conf
Circular LPC modeling and constant pitch transform for accurate speech analysis and high quality speech synthesis.
ICASSP
Sunil Shukla, Ali Erdem Ertan, Thomas P. Barnwell III