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JeeWhan Choi
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2010 – 2019
- 2016
- [c7]JeeWhan Choi, Richard W. Vuduc
:
Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model. IPDPS Workshops 2016: 79-88 - 2014
- [c6]JeeWhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri
A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. GPGPU@ASPLOS 2014: 64 - 2013
- [j1]JeeWhan Choi, Richard W. Vuduc
How much (execution) time and energy does my algorithm cost? XRDS 19(3): 49-51 (2013) - [c5]JeeWhan Choi, Daniel Bedard, Robert J. Fowler, Richard W. Vuduc
A Roofline Model of Energy. IPDPS 2013: 661-672 - 2012
- [b1]Hyesoon Kim, Richard W. Vuduc
Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU). Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00609-8 - [c4]Richard W. Vuduc
Courses in High-performance Computing for Scientists and Engineers. IPDPS Workshops 2012: 1335-1340 - [c3]JeeWhan Choi, Richard W. Vuduc
Modeling and Analysis for Performance and Power. IPDPS Workshops 2012: 2466-2469 - [c2]Aparna Chandramowlishwaran
Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. SPAA 2012: 182-184 - 2010
- [c1]JeeWhan Choi, Amik Singh, Richard W. Vuduc
Model-driven autotuning of sparse matrix-vector multiply on GPUs. PPoPP 2010: 115-126
Coauthor Index
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