Works (5)
Updated: July 5th, 2023 15:15
2020 journal article
An Automatic Synthesizer of Advising Tools for High Performance Computing
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 32(2), 330–341.
author keywords: Tools; Optimization; Programming; Syntactics; Semantics; Guidelines; Natural language processing; Performance tools; natural language processing; code optimization
TL;DR:
Egeria is built based on a distinctive multi-layered design that leverages natural language processing (NLP) techniques and extends them with HPC-specific knowledge and considerations and can retrieve relevant optimization knowledge for optimization questions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 28, 2020
2019 article
Adaptive Deep Reuse: Accelerating CNN Training on the Fly
2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), pp. 1538–1549.
author keywords: CNN; neuron vector; similarity; training; adaptive; deep reuse
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019
2018 article
Reuse-Centric K-Means Configuration
2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), pp. 1224–1227.
TL;DR:
A set of novel techniques are presented, including reuse-based filtering, center reuse, and a two-phase design to capitalize on the reuse opportunities on three levels: validation, k, and feature sets, to accelerate k-means configuration.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 11, 2019
2017 conference paper
Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction
ACM SIGPLAN Notices, 52(6), 33–48.
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2016 conference paper
A topological collapse for document summarization
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016-August.
Contributors: *, W. Tang*, H. Krim*, J. Keiser, A. Rindos* & R. Sazdanovic n
TL;DR:
DoCollapse is proposed, a topological collapse-based unsupervised keyphrase extraction method that relies on networking document by semantic relatedness of candidate keyphrases to facilitate final keyphrase selection.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
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