Faculty

Institution

Unit

Venue

Laxmikant V Kale

Research Professor & Paul and Cynthia Saylor Professor Emeritus

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Laxmikant V Kale is currently serving as a Siebel School Of Computing And Data Science Research Professor & Paul and Cynthia Saylor Professor Emeritus at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Laxmikant V Kale

University of Illinois Urbana-Champaign

Research Professor & Paul and Cynthia Saylor Professor Emeritus

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computer science parallel computing computer engineering parallel programming high performance computer architecture scalability computer architecture distributed systems cluster computing massively-parallel computing programming languages scientific computing systems engineering parallel performance evaluation parallel software system software software engineering parallel programming models program analysis microarchitecture high performance computing runtime systems software analysis modeling and simulation formal methods parallel processing load balancing (computing) fault tolerance biophysics molecular modelling networked system design concurrent programming numerical algorithms supercomputer architecture distributed computing high performance computer network high-performance architectures distributed processing gpu computing parallelizing compiler computational biophysics gpu architecture computational optimization interconnection network architecture parallel implementation logic in computer science fault recovery power-efficient computing scheduling (computing) distributed simulations heterogeneous computing many-core architectures reliability engineering numerical simulations cloud resource management processor virtualization dynamic load balancing molecular structure scalable routing molecular mechanics performance prediction large-scale simulations scalable molecular dynamics molecular dynamics load balancing hpc applications charm++ parallel adaptive runtime system message logging topology aware mapping logic programs molecular dynamics program migratable objects blue waters wormhole routing malleable jobs

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Survey on the Shared Address Space With Privatized Static Variables (Sas-Psv) Execution Model for Many-Core Era. ACM Computing Surveys (2025)

Atsushi HoriKaiming OuyangMin SiPavan BalajiJulien JaegerMarc PéracheSam` WhiteEvan RamosLaxmikant KaleKevin PedrettiRon BrightwellBalazs GerofiYutaka Ishikawa

scalabilityshared memoryshared address spacecomputer engineeringparallel computingcomputer architectureconcurrent programminghigh performance computer architectureaddress spaceparallel performance evaluationstatic variablescomputer scienceconcurrency (computer science)parallel programming

An Abstraction for Distributed Stencil Computations Using Charm++. Lecture notes in computer science (2024)

Aditya BhosaleZane FinkLaxmikant Kale

scientific computingparallel computingcomputational scienceformal methodshigh performance computer architectureadvanced computingprogramming languagescomputer scienceparallel programming

Dynamic Tuning of Core Counts to Maximize Performance in Object-Based Runtime Systems. Lecture notes in computer science (2024)

Kavitha ChandrasekarLaxmikant V. Kale

object-based runtime systemsscalabilitysoftware analysisruntime systemsmicroarchitectureperformance tuningcomputer engineeringsoftware engineeringdynamic tuninghigh performance computer architecturesystem performance analysiscore countsperformance analysis toolperformance portabilitycomputer science

Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine-Grained Communication. arXiv (Cornell University) (2024)

Kavitha ChandrasekarLaxmikant Kale

scalabilityreliable communicationsshared memoryfine-grained communicationdistributed systemscomputer engineeringcommunications systemslow latencynetworked system designcomputer science

Quantifying Overheads in Charm++ and Hpx Using Task Bench. Lecture notes in computer science (2023)

Nanmiao WuIoannis GonidelisSimeng LiuZane FinkNikunj GuptaKarame MohammadiporshokoohPatrick DiehlHartmut KaiserLaxmikant V. Kale

scalabilitymicroarchitectureparallel computingoperating systemscomputer architecturehigh performance computer architectureparallel programmingperformance analysis toolsystem softwarecomputer scienceworkload characterizationhigh performance computingperformance evaluation

Accelerating Communication for Parallel Programming Models on GPU Systems. Parallel Computing (2022)

Jaemin ChoiZane FinkSam WhiteNitin BhatDavid F. RichardsLaxmikant V. Kale

gpu architecturegpu clustercomputer engineeringparallel computinggpu systemscomputer architecturehigh performance computer architecturegpu computingprogramming languagescomputer scienceparallel programming

Enabling Support for Zero Copy Semantics in an Asynchronous Task-Based Programming Model. Lecture notes in computer science (2022)

Nitin BhatSam WhiteLaxmikant V. Kale

systems engineeringdistributed systemszero copy semanticsparallel computinglogic in computer scienceconcurrency (computer science)formal methodsformal verificationprogramming languagescomputer scienceautomated reasoningconcurrent systems

Improving Communication Asynchrony and Concurrency for Adaptive Mpi Endpoints. (2022)

Sam WhiteLaxmikant V. Kale

scalabilityadaptive mpicommunication asynchronydistributed systemscomputer engineeringparallel computingdistributed computingcommunication localityconcurrent programminghigh performance computer architecturedistributed processingcomputer scienceconcurrency (computer science)parallel programming

Improving Scalability With GPU-Aware Asynchronous Tasks. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2022)

Jaemin ChoiDavid F. RichardsLaxmikant V. Kale

scalabilitymassively-parallel computingkernel fusiongpu architecturecomputer engineeringparallel computingcomputer architectureasynchronous taskscuda graphshigh performance computer architecturegpu computingcomputer scienceparallel programming

Optimizing Non-Commutative Allreduce Over Virtualized, Migratable Mpi Ranks. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2022)

Sam WhiteLaxmikant V. Kale

scalabilitymassively-parallel computingadaptive mpidistributed systemsruntime systemscomputer engineeringparallel computingdynamic load balancingcluster computingmpi ranksparallel performance evaluationcomputer scienceparallel programming

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Laxmikant V Kale

Research Professor & Paul and Cynthia Saylor Professor Emeritus

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Laxmikant V Kale is currently serving as a Siebel School Of Computing And Data Science Research Professor & Paul and Cynthia Saylor Professor Emeritus at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Laxmikant V Kale

University of Illinois Urbana-Champaign

Research Professor & Paul and Cynthia Saylor Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Survey on the Shared Address Space With Privatized Static Variables (Sas-Psv) Execution Model for Many-Core Era. ACM Computing Surveys (2025)

Atsushi HoriKaiming OuyangMin SiPavan BalajiJulien JaegerMarc PéracheSam` WhiteEvan RamosLaxmikant KaleKevin PedrettiRon BrightwellBalazs GerofiYutaka Ishikawa

An Abstraction for Distributed Stencil Computations Using Charm++. Lecture notes in computer science (2024)

Aditya BhosaleZane FinkLaxmikant Kale

scientific computingparallel computingcomputational scienceformal methodshigh performance computer architectureadvanced computingprogramming languagescomputer scienceparallel programming

Dynamic Tuning of Core Counts to Maximize Performance in Object-Based Runtime Systems. Lecture notes in computer science (2024)

Kavitha ChandrasekarLaxmikant V. Kale

Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine-Grained Communication. arXiv (Cornell University) (2024)

Kavitha ChandrasekarLaxmikant Kale

scalabilityreliable communicationsshared memoryfine-grained communicationdistributed systemscomputer engineeringcommunications systemslow latencynetworked system designcomputer science

Quantifying Overheads in Charm++ and Hpx Using Task Bench. Lecture notes in computer science (2023)

Nanmiao WuIoannis GonidelisSimeng LiuZane FinkNikunj GuptaKarame MohammadiporshokoohPatrick DiehlHartmut KaiserLaxmikant V. Kale

Accelerating Communication for Parallel Programming Models on GPU Systems. Parallel Computing (2022)

Jaemin ChoiZane FinkSam WhiteNitin BhatDavid F. RichardsLaxmikant V. Kale

Enabling Support for Zero Copy Semantics in an Asynchronous Task-Based Programming Model. Lecture notes in computer science (2022)

Nitin BhatSam WhiteLaxmikant V. Kale

Improving Communication Asynchrony and Concurrency for Adaptive Mpi Endpoints. (2022)

Sam WhiteLaxmikant V. Kale

Improving Scalability With GPU-Aware Asynchronous Tasks. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2022)

Jaemin ChoiDavid F. RichardsLaxmikant V. Kale

Optimizing Non-Commutative Allreduce Over Virtualized, Migratable Mpi Ranks. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2022)

Sam WhiteLaxmikant V. Kale

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