2021 journal article

An Automatic Synthesizer of Advising Tools for High Performance Computing

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 32(2), 330–341.

By: H. Guan*, X. Shen n & H. Krim n

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.

By: L. Ning n, H. Guan n & X. Shen n

author keywords: CNN; neuron vector; similarity; training; adaptive; deep reuse
UN Sustainable Development Goal Categories
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.

By: H. Guan n, Y. Ding n, X. Shen n & H. Krim n

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.

By: Y. Ding n, L. Ning n, H. Guan n & X. Shen n

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.

By: H. Guan*, W. Tang*, H. Krim*, J. Keiser, A. Rindos* & R. Sazdanovic n

Contributors: H. Guan*, 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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