G
George K. Thiruvathukal
Researcher at Loyola University Chicago
Publications - 166
Citations - 1024
George K. Thiruvathukal is an academic researcher from Loyola University Chicago. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 13, co-authored 145 publications receiving 792 citations. Previous affiliations of George K. Thiruvathukal include Alpen-Adria-Universität Klagenfurt & Northwestern University.
Papers
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Journal ArticleDOI
Wide-area implementation of the message passing interface
Ian Foster,Jonathan Geisler,William Gropp,Nicholas T. Karonis,Ewing Lusk,George K. Thiruvathukal,Steven Tuecke +6 more
TL;DR: This article describes an MPI implementation that incorporates solutions to the heterogeneity of both the underlying physical infrastructure and the software environment at different sites and presents performance results for this implementation on multicomputers and networked systems.
Journal ArticleDOI
Low-Power Computer Vision: Status, Challenges, and Opportunities
Sergei Alyamkin,Matthew Ardi,Alexander C. Berg,Achille Brighton,Bo Chen,Yi Chen,Hsin-Pai Cheng,Zichen Fan,Chen Feng,Bo Fu,Kent Gauen,Abhinav Goel,Alexander Goncharenko,Xuyang Guo,Soonhoi Ha,Andrew Howard,Xiao Hu,Yuanjun Huang,Dong-Hyun Kang,Jaeyoun Kim,Jong-Gook Ko,Alexander Kondratyev,Jun-Hyeok Lee,Seungjae Lee,Suwoong Lee,Zichao Li,Zhiyu Liang,Juzheng Liu,Xin Liu,Yang Lu,Yung-Hsiang Lu,Deeptanshu Malik,Hong Hanh Nguyen,Eunbyung Park,Denis Repin,Liang Shen,Tao Sheng,Fei Sun,David Svitov,George K. Thiruvathukal,Baiwu Zhang,Jingchi Zhang,Xiaopeng Zhang,Shaojie Zhuo +43 more
TL;DR: The state of the art for low-power solutions to detect objects in images is examined to suggest directions for research as well as opportunities forLow-power computer vision.
Posted Content
A Survey of Methods for Low-Power Deep Learning and Computer Vision
TL;DR: This paper surveys the progress of low-power deep learning and computer vision, specifically in regards to inference, and discusses the methods for compacting and accelerating DNN models.
Journal ArticleDOI
Reflective remote method invocation
TL;DR: Reflective RMI (RRMI) is an open RMI implementation which makes better use of the object-oriented features of Java and directly employs the reflection capabilities of the current Java language to invoke methods remotely.