Faculty

Institution

Unit

Venue

Allen D. Malony

Professor

University of Oregon

Affiliations

College of Arts and Sciences

Computer Science

Allen D. Malony is currently serving as a College Of Arts And Sciences Professor at University of Oregon.

Honors

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Experiences

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Education

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Allen D. Malony

University of Oregon

Professor

You can click a keyword to filter the displayed items

computer science parallel computing systems engineering machine learning computer engineering performance evaluation scientific computing high performance computing data science scalability software engineering performance analysis instrumentation visualization performance measurement computer architecture parallel programming runtime systems performance scalability tau performance system information technology concurrency theory parallel processing exascale computing system software high performance computer architecture information visualization concurrency (computer science) eeg signal processing performance assessment instrumentation engineering performance monitoring distributed computing cluster computing performance analysis tool openmp advanced computing design automation mathematical optimization numerical simulations software analysis shared memory hardware acceleration parallel performance evaluation distributed processing magnetic resonance imaging human head conductivity computational modeling petascale applications performance visualization computer graphics knowledge discovery computational optimization human-computer interaction engineering optimization high-performance architectures supercomputer architecture parallel implementation software visualization interactive visualization parallel visualization visualization (graphics) independent component analysis computational visualization performance characterization performance observability computational quality performance data autonomic performance environment parallel performance monitoring piz daint multiprocessor memory systems mpi tool interface mpi performance engineering human head tissues parallel java environments

Notable Scholarly Works

Notable Federal Grants

Collaborators

Active Performance Measurement. (2025)

performance measuresperformance evaluationmeasurementquality engineeringsystems engineeringperformance measurement

Preparing the Tau Performance System for Exascale and Beyond. The International Journal of High Performance Computing Applications (2025)

parallel computingcomputer scienceperformance evaluationexascale computingperformance scalabilityhigh performance computinghigh performance computer architecturemodeling and simulationparallel performance evaluation

Towards a Scale Invariant Syntax for Dynamic Job-Level Workflows. Lecture notes in computer science (2025)

computer sciencesoftware engineeringworkflow management systemworkflow executionsoftware analysisworkflow technologyworkflow modelling

Enabling Performance Observability for Heterogeneous Hpc Workflows With Soma. (2024)

Dewi YokelsonMikhail TitovSrinivasan RameshOzgur KilicMatteo TurilliShantenu JhaAllen Malony

parallel computingheterogeneous hpc workflowsperformance observabilityhigh performance computing

Integration of Modern Hpc Performance Tools in Vlasiator for Exascale Analysis and Optimization. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Camille CotiYann Pfau-KempfMarkus BattarbeeUrs GanseSameer ShendeKevin HuckJordi RodriquezLeo KotipaloJennifer FajJeremy J. WilliamsIvy PengAllen D. MalonyStefano MarkidisMinna Palmroth

parallel computingexascale computingdistributed processingparallel processingexascale analysisscientific computingcomputer engineeringsystems engineeringhigh performance computinghigh performance computer architectureparallel programmingdistributed computingelectrical engineering

Simulating Stellar Merger Using Hpx/Kokkos on A64Fx on Supercomputer Fugaku. The Journal of Supercomputing (2024)

Patrick DiehlGregor DaißKevin HuckDominic MarcelloSagiv ShiberHartmut KaiserDirk Pflüger

computer sciencehigh-energy astrophysicssupercomputer fugakustellar mergerstellar astrophysics

SOMA: Observability, Monitoring, and in Situ Analytics for Exascale Applications. Concurrency and Computation Practice and Experience (2024)

Dewi YokelsonOskar LappiSrinivasan RameshMiikka S. VäisäläKevin HuckTouko PuroBoyana NorrisMaarit Korpi‐LaggKeijo HeljankoAllen D. Malony

computer scienceresource monitoringexascale applicationsperformance monitoringdata sciencewide area monitoringanalytics

ZEROSUM: User Space Monitoring of Resource Utilization and Contention on Heterogeneous Hpc Systems. (2023)

Kevin HuckAllen Malony

heterogeneous hpc systemscomputer sciencesystems engineeringuser space monitoringresource utilizationenergy management

Distributed, Combined CPU and GPU Profiling Within Hpx Using Apex. arXiv (Cornell University) (2022)

Diehl, PatrickDaiss, GregorHuck, KevinMarcello, DominicShiber, SagivKaiser, HartmutFrank, JuhanClayton, Geoffrey C.Pflueger, Dirk

parallel computingdistributed processingmachine learningscientific computingcomputer engineeringdistributed systemsgpu profilingprofiling techniquegpu computing

Enabling Global Mpi Process Addressing in Mpi Applications. (2022)

Jean-Baptiste BesnardSameer ShendeAllen MalonyJulien JaegerMarc Perache

systems engineeringmpi applicationsglobal mpi process

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Allen D. Malony

Professor

University of Oregon

Affiliations

College of Arts and Sciences

Computer Science

Allen D. Malony is currently serving as a College Of Arts And Sciences Professor at University of Oregon.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Allen D. Malony

University of Oregon

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Active Performance Measurement. (2025)

performance measuresperformance evaluationmeasurementquality engineeringsystems engineeringperformance measurement

Preparing the Tau Performance System for Exascale and Beyond. The International Journal of High Performance Computing Applications (2025)

Towards a Scale Invariant Syntax for Dynamic Job-Level Workflows. Lecture notes in computer science (2025)

computer sciencesoftware engineeringworkflow management systemworkflow executionsoftware analysisworkflow technologyworkflow modelling

Enabling Performance Observability for Heterogeneous Hpc Workflows With Soma. (2024)

Dewi YokelsonMikhail TitovSrinivasan RameshOzgur KilicMatteo TurilliShantenu JhaAllen Malony

parallel computingheterogeneous hpc workflowsperformance observabilityhigh performance computing

Integration of Modern Hpc Performance Tools in Vlasiator for Exascale Analysis and Optimization. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Camille CotiYann Pfau-KempfMarkus BattarbeeUrs GanseSameer ShendeKevin HuckJordi RodriquezLeo KotipaloJennifer FajJeremy J. WilliamsIvy PengAllen D. MalonyStefano MarkidisMinna Palmroth

Simulating Stellar Merger Using Hpx/Kokkos on A64Fx on Supercomputer Fugaku. The Journal of Supercomputing (2024)

Patrick DiehlGregor DaißKevin HuckDominic MarcelloSagiv ShiberHartmut KaiserDirk Pflüger

computer sciencehigh-energy astrophysicssupercomputer fugakustellar mergerstellar astrophysics

SOMA: Observability, Monitoring, and in Situ Analytics for Exascale Applications. Concurrency and Computation Practice and Experience (2024)

Dewi YokelsonOskar LappiSrinivasan RameshMiikka S. VäisäläKevin HuckTouko PuroBoyana NorrisMaarit Korpi‐LaggKeijo HeljankoAllen D. Malony

computer scienceresource monitoringexascale applicationsperformance monitoringdata sciencewide area monitoringanalytics

ZEROSUM: User Space Monitoring of Resource Utilization and Contention on Heterogeneous Hpc Systems. (2023)

Kevin HuckAllen Malony

heterogeneous hpc systemscomputer sciencesystems engineeringuser space monitoringresource utilizationenergy management

Distributed, Combined CPU and GPU Profiling Within Hpx Using Apex. arXiv (Cornell University) (2022)

Diehl, PatrickDaiss, GregorHuck, KevinMarcello, DominicShiber, SagivKaiser, HartmutFrank, JuhanClayton, Geoffrey C.Pflueger, Dirk

parallel computingdistributed processingmachine learningscientific computingcomputer engineeringdistributed systemsgpu profilingprofiling techniquegpu computing

Enabling Global Mpi Process Addressing in Mpi Applications. (2022)

Jean-Baptiste BesnardSameer ShendeAllen MalonyJulien JaegerMarc Perache

systems engineeringmpi applicationsglobal mpi process

1
2
3
4
5
35
10 / page

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parallel complexity theory

high performance computing

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scalability

massively-parallel computing

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