Faculty

Institution

Unit

Venue

John Mellor-Crummey

Professor

Rice University

Affiliations

George R. Brown School of Engineering

Computer Science

Electrical and Computer Engineering

John Mellor-crummey is currently serving as a Computer Science Professor at Rice University.

Honors

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Experiences

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Education

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John Mellor-Crummey

Rice University

Professor

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computer science parallel computing systems engineering computer engineering machine learning parallel programming scientific computing performance evaluation program analysis computer architecture gpu computing software analysis compiler technology applied mathematics scalability parallelizing compiler software engineering informatics high performance computer architecture distributed computing high performance computing hardware acceleration programming languages advanced computing parallel software parallel programming models scientific applications concurrency theory parallel processing concurrent systems performance tuning gpu-accelerated applications distributed systems scheduling (computing) compiler support scalable computing performance analysis distributed processing shared-memory multiprocessors system software concurrency (computer science) scheduling analysis project scheduling shared memory performance analysis tool performance measurement openmp optimizing compilers concurrency control concurrent programming embedded operating systems grads project data races multithreaded applications productive computational science call path profiles rice dhpf compiler automatic generation performance bottlenecks optimization techniques low overhead openmp programs multi-dimensional arrays line-sweep computations mathematical programming information technology computational optimization mathematical optimization reliability engineering workflow modelling workflow execution workflow management system application performance software design parallel performance evaluation software technology design automation

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automated Code Generation of High-Order Stencils for a Dataflow Architecture. (2024)

Ryuichi SaiJohn Mellor-CrummeyJinfan XuMauricio Araya-Polo

dataflow architecturecode generationcomputer sciencecomputer engineeringhigh-order stencils

Matrix-Free Finite Volume Kernels on a Dataflow Architecture. (2024)

Ryuichi SaiFrançois P. HamonJohn Mellor-CrummeyMauricio Araya-Polo

dataflow architecturedata architecturecomputer science

Priority Sampling of Large Language Models for Compilers. (2024)

Dejan GrubisicVolker SeekerGabriel SynnaeveHugh LeatherJohn Mellor-CrummeyChris Cummins

natural language processingcomputer sciencepriority sampling

Refining Hpctoolkit for Application Performance Analysis at Exascale. The International Journal of High Performance Computing Applications (2024)

Laksono AdhiantoJonathon AndersonRobert Matthew BarnettDragana GrbicVladimir IndicMark KrentelYumeng LiuSrđan MilakovićWileam PhanJohn Mellor-Crummey

high performance computer architectureperformance evaluationcomputer sciencehigh performance computingapplication performance analysisperformance analysishigh-performance data analyticsexascale computing

LOOPTUNE: Optimizing Tensor Computations With Reinforcement Learning. arXiv (Cornell University) (2023)

Grubisic, DejanWasti, BramCummins, ChrisMellor-Crummey, JohnZlateski, Aleksandar

reinforcement learningcomputer scienceoptimizing tensor computationsmachine learning

Towards Accelerating High-Order Stencils on Modern Gpus and Emerging Architectures With a Portable Framework. arXiv (Cornell University) (2023)

Sai, RyuichiXu, JinfanAraya-Polo, MauricioMellor-Crummey, John

gpu architectureaccelerated designhardware accelerationportable frameworkcomputer architecturecomputer sciencemodern gpuscomputer engineeringhigh-order stencilsparallel computinggpu computingrapid prototyping

Improving Tool Support for Nested Parallel Regions With Introspection Consistency. Lecture notes in computer science (2022)

Vladimir IndicJohn Mellor-Crummey

tool supporttooling supportcomputer scienceintrospection consistencyparallel computingnested parallel regions

Low Overhead and Context Sensitive Profiling of GPU-Accelerated Applications. (2022)

Keren ZhouJonathon AndersonXiaozhu MengJohn Mellor-Crummey

gpu-accelerated applicationscomputer engineeringinstrumentationparallel computinggpu computinglow overheadcontext sensitive profiling

Preparing for Performance Analysis at Exascale. (2022)

Jonathon AndersonYumeng LiuJohn Mellor-Crummey

performance analysisexascale computingparallel computing

VALUEEXPERT: Exploring Value Patterns in GPU-Accelerated Applications. International Conference on Architectural Support for Programming Languages and Operating Systems (2022)

Keren ZhouYueming HaoJohn Mellor-CrummeyXiaozhu MengXu Liu

value patternsgpu-accelerated applicationscomputer scienceparallel computinggpu computing

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John Mellor-Crummey

Professor

Rice University

Affiliations

George R. Brown School of Engineering

Computer Science

Electrical and Computer Engineering

John Mellor-crummey is currently serving as a Computer Science Professor at Rice University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

John Mellor-Crummey

Rice University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automated Code Generation of High-Order Stencils for a Dataflow Architecture. (2024)

Ryuichi SaiJohn Mellor-CrummeyJinfan XuMauricio Araya-Polo

dataflow architecturecode generationcomputer sciencecomputer engineeringhigh-order stencils

Matrix-Free Finite Volume Kernels on a Dataflow Architecture. (2024)

Ryuichi SaiFrançois P. HamonJohn Mellor-CrummeyMauricio Araya-Polo

dataflow architecturedata architecturecomputer science

Priority Sampling of Large Language Models for Compilers. (2024)

Dejan GrubisicVolker SeekerGabriel SynnaeveHugh LeatherJohn Mellor-CrummeyChris Cummins

natural language processingcomputer sciencepriority sampling

Refining Hpctoolkit for Application Performance Analysis at Exascale. The International Journal of High Performance Computing Applications (2024)

Laksono AdhiantoJonathon AndersonRobert Matthew BarnettDragana GrbicVladimir IndicMark KrentelYumeng LiuSrđan MilakovićWileam PhanJohn Mellor-Crummey

LOOPTUNE: Optimizing Tensor Computations With Reinforcement Learning. arXiv (Cornell University) (2023)

Grubisic, DejanWasti, BramCummins, ChrisMellor-Crummey, JohnZlateski, Aleksandar

reinforcement learningcomputer scienceoptimizing tensor computationsmachine learning

Towards Accelerating High-Order Stencils on Modern Gpus and Emerging Architectures With a Portable Framework. arXiv (Cornell University) (2023)

Sai, RyuichiXu, JinfanAraya-Polo, MauricioMellor-Crummey, John

Improving Tool Support for Nested Parallel Regions With Introspection Consistency. Lecture notes in computer science (2022)

Vladimir IndicJohn Mellor-Crummey

tool supporttooling supportcomputer scienceintrospection consistencyparallel computingnested parallel regions

Low Overhead and Context Sensitive Profiling of GPU-Accelerated Applications. (2022)

Keren ZhouJonathon AndersonXiaozhu MengJohn Mellor-Crummey

gpu-accelerated applicationscomputer engineeringinstrumentationparallel computinggpu computinglow overheadcontext sensitive profiling

Preparing for Performance Analysis at Exascale. (2022)

Jonathon AndersonYumeng LiuJohn Mellor-Crummey

performance analysisexascale computingparallel computing

VALUEEXPERT: Exploring Value Patterns in GPU-Accelerated Applications. International Conference on Architectural Support for Programming Languages and Operating Systems (2022)

Keren ZhouYueming HaoJohn Mellor-CrummeyXiaozhu MengXu Liu

value patternsgpu-accelerated applicationscomputer scienceparallel computinggpu computing

1
2
3
4
5
17
10 / page

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