Works (6)
Updated: July 5th, 2023 15:34
2021 journal article
General Reuse-Centric CNN Accelerator
IEEE TRANSACTIONS ON COMPUTERS, 71(4), 880–891.
author keywords: Neurons; Hardware; Convolution; Engines; Software; Acceleration; IEEE Senior Members; CNN; reuse-centric; accelerator
TL;DR:
The first general reuse-centric accelerator for CNN inferences is introduced, able to discover similarities among arbitrary patches within an image or across independent images, and translate them into computation time and energy savings.
(via Semantic Scholar)
open access via hdl.handle.net (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
7. Affordable and Clean Energy
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 11, 2022
2021 article
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone
2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), pp. 1078–1083.
author keywords: recurrent neural networks; data compression; context free grammar; tokenization
TL;DR:
This work introduces CFG-guided compressed learning, an approach that creatively integrates Context-Free Grammar (CFG) and online tokenization into RNN learning and inference for streaming inputs through a hierarchical compression algorithm.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 2, 2022
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 journal article
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine
NEURAL NETWORKS, 108, 399–410.
author keywords: RBM; Contrastive Divergence; Acceleration
MeSH headings : Algorithms; Databases, Factual; Deep Learning / trends; Machine Learning / trends; Neural Networks, Computer; Time Factors
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018
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
2017 article
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine
2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1015–1020.
TL;DR:
Lean Contrastive Divergence (LCD) is proposed, a modified contrastive divergence learning algorithm, to accelerate RBM learning and prediction without changing the results.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
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