@inproceedings{e903374b68644d8fa1aea9360d30c21c,
title = "Thoughts on massively-parallel heterogeneous computing for solving large problems",
abstract = "In this paper, we present our view of massively-parallel heterogeneous computing for solving large scientific problems. We start by observing that computing has been the primary driver of major innovations since the beginning of the 21st century. We argue that this is the fruit of decades of progress in computing methods, technology, and systems. A high-level analysis on out-scaling and up-scaling on large supercomputers is given through a time-domain wave-scattering simulation example. The importance of heterogeneous node architectures for good up-scaling is highlighted. A case for low-complexity algorithms is made for continued scale-out towards exascale systems.",
author = "Hwu, {Wen Mei} and Mert Hidayetogglu and Chew, {Weng Cho} and Carl Pearson and Simon Garcia and Sitao Huang and Abdul Dakkak",
note = "Funding Information: ACKNOWLEDGMENT We acknowledge support of NVIDIA GPU Center of Excellence and NCSA Petascale Application Improvement Discovery Program grants, and NSF grant EECS-1609195. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Computing and Electromagnetics International Workshop, CEM 2017 ; Conference date: 21-06-2017 Through 24-06-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/CEM.2017.7991890",
language = "English (US)",
series = "CEM 2017 - 2017 Computing and Electromagnetics International Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--68",
editor = "Levent Gurel",
booktitle = "CEM 2017 - 2017 Computing and Electromagnetics International Workshop",
address = "United States",
}