Kevin Huck

Kevin Huck

University of Oregon

H-index: 22

North America-United States

About Kevin Huck

Kevin Huck, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Oregon, specializes in the field of Parallel Computing, HPC, Data Mining, Supercomputing, asynchronous tasking runtimes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

ZeroSum: User Space Monitoring of Resource Utilization and Contention on Heterogeneous HPC Systems

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations

Observability, Monitoring, and In Situ Analytics in Exascale Applications

STaKTAU: profiling HPC applications' operating system usage

Integration of modern HPC performance analysis in vlasiator for sustained exascale

A codesign framework for online data analysis and reduction

Broad Performance Measurement Support for Asynchronous Multi-Tasking with APEX

Kevin Huck Information

University

Position

___

Citations(all)

1490

Citations(since 2020)

816

Cited By

952

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

40

i10Index(since 2020)

24

Email

University Profile Page

University of Oregon

Google Scholar

View Google Scholar Profile

Kevin Huck Skills & Research Interests

Parallel Computing

HPC

Data Mining

Supercomputing

asynchronous tasking runtimes

Top articles of Kevin Huck

Title

Journal

Author(s)

Publication Date

Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

The Journal of Supercomputing

Patrick Diehl

Gregor Daiß

Kevin Huck

Dominic Marcello

Sagiv Shiber

...

2024/4/18

ZeroSum: User Space Monitoring of Resource Utilization and Contention on Heterogeneous HPC Systems

Kevin Huck

Allen Malony

2023/11/12

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations

Francieli Boito

Jim Brandt

Valeria Cardellini

Philip Carns

Florina M Ciorba

...

2023/10/31

Observability, Monitoring, and In Situ Analytics in Exascale Applications

Dewi Yokelson

Oskar Lappi

Srinivasan Ramesh

Miikka Väisälä

Kevin Huck

...

2023/5

STaKTAU: profiling HPC applications' operating system usage

arXiv preprint arXiv:2304.11205

Camille Coti

Kevin Huck

Allen D Malony

2023/4/21

Integration of modern HPC performance analysis in vlasiator for sustained exascale

Camille Coti

Allen D Malony

Sameer Shende

Kevin Huck

Jordi Rodriquez

...

2023

A codesign framework for online data analysis and reduction

Concurrency and Computation: Practice and Experience

Kshitij Mehta

Bryce Allen

Matthew Wolf

Jeremy Logan

Eric Suchyta

...

2022/6/25

Broad Performance Measurement Support for Asynchronous Multi-Tasking with APEX

Kevin A Huck

2022/11/13

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science

The International Journal of High Performance Computing Applications

Eric Suchyta

Scott Klasky

Norbert Podhorszki

Matthew Wolf

Abolaji Adesoji

...

2022/1

Performance Debugging and Tuning of Flash-X with Data Analysis Tools

Kevin Huck

Xingfu Wu

Anshu Dubey

Antigoni Georgiadou

J Austin Harris

...

2022/11/13

Traveler: Navigating task parallel traces for performance analysis

IEEE Transactions on Visualization and Computer Graphics

Sayef Azad Sakin

Alex Bigelow

R Tohid

Connor Scully-Allison

Carlos Scheidegger

...

2022/9/27

Distributed, combined CPU and GPU profiling within HPX using APEX

arXiv preprint arXiv:2210.06437

Patrick Diehl

Gregor Daiss

Kevin Huck

Dominic Marcello

Sagiv Shiber

...

2022/9/21

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers

Eric Suchyta

Jong Youl Choi

Seung-Hoe Ku

David Pugmire

Ana Gainaru

...

2022/9/5

Memory reduction using a ring abstraction over gpu rdma for distributed quantum monte carlo solver

Weile Wei

Eduardo D'Azevedo

Kevin Huck

Arghya Chatterjee

Oscar Hernandez

...

2021/7/5

Performance measurements within asynchronous task-based runtime systems: A double white dwarf merger as an application

Computing in Science & Engineering

Patrick Diehl

Dominic Marcello

Parsa Amini

Hartmut Kaiser

Sagiv Shiber

...

2021/4/15

Symbiomon: A high-performance, composable monitoring service

Srinivasan Ramesh

Robert Ross

Matthieu Dorier

Allen Malony

Philip Carns

...

2021/12/17

Artemis: automatic runtime tuning of parallel execution parameters using machine learning

Chad Wood

Giorgis Georgakoudis

David Beckingsale

David Poliakoff

Alfredo Gimenez

...

2021

Online data analysis and reduction: An important co-design motif for extreme-scale computers

The International Journal of High Performance Computing Applications

Ian Foster

Mark Ainsworth

Julie Bessac

Franck Cappello

Jong Choi

...

2021/11

Octo-tiger’s new hydro module and performance using hpx+ cuda on ornl’s summit

Patrick Diehl

Gregor Daiß

Dominic Marcello

Kevin Huck

Sagiv Shiber

...

2021/9/7

Performance analysis of a quantum monte carlo application on multiple hardware architectures using the hpx runtime

Weile Wei

Arghya Chatterjee

Kevin Huck

Oscar Hernandez

Hartmut Kaiser

2020/11/13

See List of Professors in Kevin Huck University(University of Oregon)

Co-Authors

H-index: 44
Allen D. Malony

Allen D. Malony

University of Oregon

H-index: 39
Barbara Chapman

Barbara Chapman

Stony Brook University

H-index: 32
Juhan Frank

Juhan Frank

Louisiana State University

H-index: 31
Sameer Shende

Sameer Shende

University of Oregon

H-index: 26
Boyana Norris

Boyana Norris

University of Oregon

H-index: 25
Hartmut Kaiser

Hartmut Kaiser

Louisiana State University

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