Hyeontaek Lim

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Predicting Dynamic Properties of Heap Allocations Using Neural Networks Trained on Static Code
Christian Navasca
Martin Maas
Petros Maniatis
Hyeontaek Lim
Guoqing Harry Xu
2023 ACM SIGPLAN International Symposium on Memory Management (ISMM 2023)
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
Adam Roberts
Paul Barham
Hyung Won Chung
Charles Sutton
Sebastian Gehrmann
Parker Schuh
Kensen Shi
Sasha Tsvyashchenko
Joshua Maynez
Abhishek Rao
Parker Barnes
Yi Tay
Noam Shazeer
Vinodkumar Prabhakaran
Emily Reif
Nan Du
Ben Hutchinson
Reiner Pope
James Bradbury
Jacob Austin
Michael Isard
Guy Gur-Ari
Pengcheng Yin
Toju Duke
Anselm Levskaya
Sanjay Ghemawat
Sunipa Dev
Henryk Michalewski
Xavier Garcia
Vedant Misra
Kevin Robinson
Liam Fedus
Denny Zhou
Daphne Ippolito
David Luan
Hyeontaek Lim
Barret Zoph
Alexander Spiridonov
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Andrew M. Dai
Thanumalayan Sankaranarayana Pillai
Marie Pellat
Aitor Lewkowycz
Erica Moreira
Rewon Child
Oleksandr Polozov
Katherine Lee
Zongwei Zhou
Xuezhi Wang
Brennan Saeta
Mark Diaz
Orhan Firat
Michele Catasta
Jason Wei
Kathy Meier-Hellstern
Douglas Eck
Jeff Dean
Slav Petrov
Noah Fiedel
arxiv:2204.02311 (2022)
Pathways: Asynchronous Distributed Dataflow for ML
Paul Barham
Aakanksha Chowdhery
Jeff Dean
Sanjay Ghemawat
Steven Hand
Dan Hurt
Michael Isard
Hyeontaek Lim
Ruoming Pang
Sudip Roy
Brennan Saeta
Parker Edward Schuh
Ryan Sepassi
Laurent El Shafey
Chandu Thekkath
Yonghui Wu
MLSys 2022 (2022) (to appear)
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
Hyeontaek Lim
David Andersen
Michael Kaminsky
SysML (2019)
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