Jeremy Buhler
教授
Department of Computer Science and Engineering
Washington University in St. Louis;Department of Genetics, Division of Biological and Biomedical Sciences, Washington University in St. Louis;Biology Department, School of Arts and Sciences, Washington University in St. Louis
关注
立即认领
分享
关注
立即认领
分享
基本信息
浏览量:11
职业迁徙
个人简介
My primary research interests lie in analysis of scientific datasets that meets throughput and/or latency goals while operating under constraints on available processing power. My group studies how to best implement these computations on modern, highly parallel computing architectures, including low-power multicores, GPUs, and field-programmable gate arrays (FPGAs). Utilizing these powerful accelerator architectures effectively raises a number of interesting theoretical and engineering problems in mapping and scheduling of parallel computations to meet performance goals and in the design of programming frameworks to support streaming and modular computation. It is often necessary to modify algorithms, or to invent entirely new algorithms, that exploit the parallelism in accelerator hardware.
研究兴趣
论文共 115 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysispp.395-398, (2023)
引用0浏览0EI引用
0
0
2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)pp.232-242, (2023)
引用0浏览0EIWOS引用
0
0
Marion Sudvarg,Jeremy Buhler,James Buckley,Wenlei Chen,Zachary Hughes,Emily Ramey,Michael Cherry,Samer Alnussirat, Ryan Larm, Christofer Berruz Chungata
37TH INTERNATIONAL COSMIC RAY CONFERENCE, ICRC2021pp.588, (2022)
50TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOP PROCEEDINGS - ICPP WORKSHOPS '21pp.9:1-9:8, (2021)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn