Faculty

Institution

Unit

Venue

Kevin Skadron

Harry Douglas Forsyth Professor of Computer Science

University of Virginia

Affiliations

School of Engineering and Applied Science

Department of Computer Science

Kevin Skadron is currently serving as a Computer Science Harry Douglas Forsyth Professor of Computer Science at University of Virginia.

Honors

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Experiences

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Education

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Kevin Skadron

University of Virginia

Harry Douglas Forsyth Professor of Computer Science

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computer engineering computer architecture computer science high performance computer architecture microarchitecture parallel computing high-performance architectures integrated circuits electrical engineering parallel programming vlsi circuit systems engineering microelectronics thermal engineering hardware acceleration scalability energy efficiency heat transfer gpu architecture many-core architectures processor architectures vlsi technology power-aware design manycore processor modeling and simulation gpu computing thermal modeling power-aware computing design automation field programmable gate array reliability engineering memory architectures thermal management power-efficient computing vlsi design power management performance prediction hardware architecture hardware reliability system software multithreading (computer architecture) electronic packaging distributed systems microelectronics reliability circuit reliability fpga design software analysis automaton operation automata processor power delivery advanced packaging (semiconductors) computer design cluster computing automata processing physical design (electronics) caching massively-parallel computing advanced computing interconnect (integrated circuits) compiler technology performance analysis tool heterogeneous computing micron automata processor branch predictor branch predictors hot spots graphics processors branch prediction dynamic voltage scaling performance counters resilience techniques resilience targets chip lifetime spatial architectures cross-layer resilience benchmark suite

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

GLEIDEN: Accelerated Community Detection Algorithms Using Directed and Undirected Graphs on Gpus. Bioinformatics Advances (2026)

network sciencenetwork analysiscomputer scienceundirected graphssocial simulationcommunity structuregraph theorydata sciencecommunity detectionglobal networkscommunity discovery

DREX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign. (2025)

Derrick QuinnE. Ezgi YücelMartin PrammerZhenxing FanKevin SkadronJignesh M. PatelJosé F. MartínezMohammad Alian

parallel computingweb searchcomputer scienceinformation retrievalcomputer architecturescalabilityhardware accelerationdata indexingdata sciencecomputer engineeringdata-intensive computingalgorithmic-hardware codesignhigh performance computer architectureadvanced computingdata management

Hardware-Software Co-Design of Iterative Filter-Update Numerical Methods Using Processing-In-Memory. (2025)

numerical simulationsfilter (signal processing)approximation theorydigital signal processingscientific computingsignal processingapplied mathematicshigh performance computer architecturenumerical linear algebracomputational engineeringnumerical computationcomputer engineeringnumerical algorithmsadaptive filternumerical analysiscomputational mathematicsprocess controlnumerical mathematicsdigital filtersystems engineeringglobal optimizationfiltering technique

IMPRINT: In-Memory Processing With Indirect Addressing Techniques for GPU-Hosted Hbm-Pim. Proceedings of the International Symposium on Memory Systems (2025)

parallel computingcomputer sciencecomputer architectureindirect addressing techniqueshigh-performance architecturesmemory architecturescomputer engineeringmicroarchitecturehardware securityhigh performance computer architecturemulti-channel memory architecturevirtual memoryintegrated circuits

MEMBRANE: Accelerating Database Analytics With Dram-Based Pim Filtering and Schema Denormalization. ACM Transactions on Architecture and Code Optimization (2025)

computer sciencebig datacomputer architecturedatabasesdatabase technologydata sciencecomputer engineeringvery large databasedatabase processingschema denormalizationdram-based pim filteringdata mininghigh performance computer architectureanalyticsdata managementaccelerating database analytics

PIMSYNTH: A Unified Compiler Framework for Bit-Serial Processing-In-Memory Architectures. IEEE Computer Architecture Letters (2025)

Deyuan GuoMohammadhosein GholamrezaeiMatthew HofmannAshish VenkatZhiru ZhangKevin Skadron

parallel computingsystem softwarecomputer sciencecomputer architecturecomputer engineeringmicroarchitectureprogramming languagescompiler technologyhigh performance computer architectureunified compiler framework

SANGAM: Chiplet-Based Dram-Pim Accelerator With CXL Integration for Llm Inferencing. ArXiv.org (2025)

computer architecturehardware accelerationchiplet-based dram-pim acceleratormemory architecturescomputer engineeringmicroarchitecturein-memory computingvlsi circuithigh performance computer architecturemulti-channel memory architecturevlsi technologyintegrated circuitselectrical engineering

Tgn-Pnm: A Near-Memory Architecture for Temporal Gnn Inference on 3D-Stacked Memory. Proceedings of the International Symposium on Memory Systems (2025)

computer sciencecomputational intelligence3d-stacked memorybrain-like computingmachine learningcomputer engineeringnear-memory architecturemachine learning researchrecurrent neural networkstemporal gnn inferenceneural network (machine learning)

Tripim — Exact Triangle Counting on Upmem Processing-In-Memory for Graph Analytics. Proceedings of the International Symposium on Memory Systems (2025)

parallel computingcomputational sciencecomputer sciencegraph analysisgraph algorithmsgraph theoryupmem processing-in-memorydata sciencegraph processinggraph analyticsparallel programmingdiscrete algorithms

Architectural Modeling and Benchmarking for Digital Dram Pim. (2024)

Farzana Ahmed SiddiqueDeyuan GuoZhenxing FanMohammadhosein GholamrezaeiMorteza BaradaranAlif AhmedHugo AbbotKyle DurrerKumaresh NandagopalEthan ErmovickKhyati KiyawatBeenish GulAbdullah MughrabiAshish VenkatKevin Skadron

architectural modelingarchitecturedigital dram pim

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Kevin Skadron

Harry Douglas Forsyth Professor of Computer Science

University of Virginia

Affiliations

School of Engineering and Applied Science

Department of Computer Science

Kevin Skadron is currently serving as a Computer Science Harry Douglas Forsyth Professor of Computer Science at University of Virginia.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kevin Skadron

University of Virginia

Harry Douglas Forsyth Professor of Computer Science

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

GLEIDEN: Accelerated Community Detection Algorithms Using Directed and Undirected Graphs on Gpus. Bioinformatics Advances (2026)

network sciencenetwork analysiscomputer scienceundirected graphssocial simulationcommunity structuregraph theorydata sciencecommunity detectionglobal networkscommunity discovery

DREX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign. (2025)

Derrick QuinnE. Ezgi YücelMartin PrammerZhenxing FanKevin SkadronJignesh M. PatelJosé F. MartínezMohammad Alian

Hardware-Software Co-Design of Iterative Filter-Update Numerical Methods Using Processing-In-Memory. (2025)

IMPRINT: In-Memory Processing With Indirect Addressing Techniques for GPU-Hosted Hbm-Pim. Proceedings of the International Symposium on Memory Systems (2025)

MEMBRANE: Accelerating Database Analytics With Dram-Based Pim Filtering and Schema Denormalization. ACM Transactions on Architecture and Code Optimization (2025)

PIMSYNTH: A Unified Compiler Framework for Bit-Serial Processing-In-Memory Architectures. IEEE Computer Architecture Letters (2025)

Deyuan GuoMohammadhosein GholamrezaeiMatthew HofmannAshish VenkatZhiru ZhangKevin Skadron

SANGAM: Chiplet-Based Dram-Pim Accelerator With CXL Integration for Llm Inferencing. ArXiv.org (2025)

Tgn-Pnm: A Near-Memory Architecture for Temporal Gnn Inference on 3D-Stacked Memory. Proceedings of the International Symposium on Memory Systems (2025)

Tripim — Exact Triangle Counting on Upmem Processing-In-Memory for Graph Analytics. Proceedings of the International Symposium on Memory Systems (2025)

Architectural Modeling and Benchmarking for Digital Dram Pim. (2024)

architectural modelingarchitecturedigital dram pim

1
2
3
4
5
32
10 / page

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ai hardware

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