Tri Nguyen
College of Engineering
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Works (5)
Updated: November 6th, 2024 05:02
2024 article
CAROL: Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications
53RD INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2024, pp. 845–855.
open access via dl.acm.org (publisher PDF)
Source: Web Of Science
Added: November 4, 2024
2024 journal article
NEAMS IRP challenge problem 1: Flexible modeling for heat transfer for low-to-high Prandtl number fluids for applications in advanced reactors
NUCLEAR ENGINEERING AND DESIGN, 428.
author keywords: Mixed convection; DNS; Turbulence modeling; Turbulent heat transfer; Data driven modeling
Sources: Web Of Science, NC State University Libraries
Added: August 5, 2024
2023 article
Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry
Iskhakov, A. S., Tai, C.-K., Bolotnov, I. A., Nguyen, T., Merzari, E., Shaver, D. R., & Dinh, N. T. (2023, March 16). NUCLEAR TECHNOLOGY, Vol. 3.
Contributors: A. Iskhakov n , C. Tai n, I. Bolotnov n , *, E. Merzari *, D. Shaver *, N. Dinh n
author keywords: Machine learning; turbulence modeling; forced convection; low- and high-Prandtl fluids; data-driven modeling
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 16, 2023
2022 article
A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers
2022 IEEE 29TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS, HIPC, pp. 215–225.
author keywords: Finite state transducers; Pushdown transducers; Data transformation; GPU acceleration
TL;DR:
This work defines an extended pushdown transducer abstraction (effPDT) that allows expressing a wide range of data transformations in a memory-efficient fashion, and is thus amenable for GPU deployment, and extends it to also support finite state transducers (FSTs).
(via Semantic Scholar)
Source: Web Of Science
Added: June 12, 2023
2021 article
PILOT: a Runtime System to Manage Multi-tenant GPU Unified Memory Footprint
2021 IEEE 28TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2021), pp. 442–447.
TL;DR:
A proposed three methods to transparently mitigate memory interference through kernel preemption and scheduling policies are proposed, which would enable new OS-managed scheduling policies to be implemented for GPU kernels to dynamically handle resource contention and offer consistent performance.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 2, 2022
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