Bill Dally - RankMe

14 papers A* 2A 2Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren
2023	—	`conf`	Hardware for Deep Learning. HCS Bill Dally
2021	J	`jnl`	Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update. CoRR Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar
2019	A*	`conf`	A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. ICCV Huizi Mao, Xiaodong Yang, Bill Dally
2019	—	`conf`	CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. SysML Huizi Mao, Taeyoung Kong, Bill Dally
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2018	—	`conf`	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally
2017	—	`conf`	Efficient methods and hardware for deep learning. TIML@ISCA Bill Dally
2017	J	`jnl`	FPGAs versus GPUs in Data centers. IEEE Micro Babak Falsafi, Bill Dally, Desh Singh, Derek Chiou, Joshua J. Yi, Resit Sendag
2016	—	`conf`	Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally
2011	A	`conf`	Power, Programmability, and Granularity: The Challenges of ExaScale Computing. IPDPS Bill Dally
2011	A	`conf`	Power, programmability, and granularity: The challenges of ExaScale computing. ITC Bill Dally
1996	A*	`ed.`	ASPLOS-VII Proceedings - Seventh International Conference on Architectural Support for Programming Languages and Operating Systems, Cambridge, Massachusetts, USA, October 1-5, 1996. ASPLOS Bill Dally, Susan J. Eggers
1994	J	`jnl`	Architectural and implementation issues for multithreading (panel session I). SIGARCH Comput. Archit. News Robert A. Iannucci, Anant Agarwal, Bill Dally, Anoop Gupta, Greg Papadopoulos, Burton J. Smith