DeepSpeed4Science 计划:通过先进 AI 系统技术实现大规模科学发现
人工智能
2023-10-13 v2 机器学习
摘要
在接下来的十年中,深度学习可能彻底改变自然科学,增强我们建模和预测自然现象的能力。这可能标志着科学探索的新时代,带来从药物开发到可再生能源等领域的重大进展。为回应这一需求,我们提出 DeepSpeed4Science 计划(deepspeed4science.ai),旨在通过 AI 系统技术创新构建独特能力,帮助领域专家解锁当今最大的科学谜题。通过以 DeepSpeed 当前的技术支柱(训练、推理和压缩)作为基础技术赋能者,DeepSpeed4Science 将创建一套新的 AI 系统技术,专为加速科学发现而定制,通过应对其超越用于加速通用大型语言模型(LLMs)的常规技术方法的独特复杂性。在本文中,我们展示了 DeepSpeed4Science 在解决结构生物学研究中两个关键系统挑战方面取得的早期进展。
引用
@article{arxiv.2310.04610,
title = {DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies},
author = {Shuaiwen Leon Song and Bonnie Kruft and Minjia Zhang and Conglong Li and Shiyang Chen and Chengming Zhang and Masahiro Tanaka and Xiaoxia Wu and Jeff Rasley and Ammar Ahmad Awan and Connor Holmes and Martin Cai and Adam Ghanem and Zhongzhu Zhou and Yuxiong He and Pete Luferenko and Divya Kumar and Jonathan Weyn and Ruixiong Zhang and Sylwester Klocek and Volodymyr Vragov and Mohammed AlQuraishi and Gustaf Ahdritz and Christina Floristean and Cristina Negri and Rao Kotamarthi and Venkatram Vishwanath and Arvind Ramanathan and Sam Foreman and Kyle Hippe and Troy Arcomano and Romit Maulik and Maxim Zvyagin and Alexander Brace and Bin Zhang and Cindy Orozco Bohorquez and Austin Clyde and Bharat Kale and Danilo Perez-Rivera and Heng Ma and Carla M. Mann and Michael Irvin and J. Gregory Pauloski and Logan Ward and Valerie Hayot and Murali Emani and Zhen Xie and Diangen Lin and Maulik Shukla and Ian Foster and James J. Davis and Michael E. Papka and Thomas Brettin and Prasanna Balaprakash and Gina Tourassi and John Gounley and Heidi Hanson and Thomas E Potok and Massimiliano Lupo Pasini and Kate Evans and Dan Lu and Dalton Lunga and Junqi Yin and Sajal Dash and Feiyi Wang and Mallikarjun Shankar and Isaac Lyngaas and Xiao Wang and Guojing Cong and Pei Zhang and Ming Fan and Siyan Liu and Adolfy Hoisie and Shinjae Yoo and Yihui Ren and William Tang and Kyle Felker and Alexey Svyatkovskiy and Hang Liu and Ashwin Aji and Angela Dalton and Michael Schulte and Karl Schulz and Yuntian Deng and Weili Nie and Josh Romero and Christian Dallago and Arash Vahdat and Chaowei Xiao and Thomas Gibbs and Anima Anandkumar and Rick Stevens},
journal= {arXiv preprint arXiv:2310.04610},
year = {2023}
}