Faculty

Institution

Unit

Venue

Laxmikant V Kale

Research Professor & Paul and Cynthia Saylor Professor Emeritus

UIUC

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 Uiuc.

Honors

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Experiences

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Education

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Laxmikant V Kale

UIUC

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

concurrent programmingcomputer sciencehigh performance computer architecturescalabilityconcurrency (computer science)address spaceparallel performance evaluationstatic variablescomputer engineeringparallel computingparallel programmingcomputer architectureshared memoryshared address space

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

Aditya BhosaleZane FinkLaxmikant Kale

computer sciencehigh performance computer architecturecomputational scienceprogramming languagesadvanced computingscientific computingparallel computingparallel programmingformal methods

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

Kavitha ChandrasekarLaxmikant V. Kale

dynamic tuningcomputer sciencehigh performance computer architecturescalabilityperformance portabilitysoftware analysiscore countsmicroarchitecturecomputer engineeringperformance tuningobject-based runtime systemssoftware engineeringruntime systemssystem performance analysisperformance analysis tool

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

Kavitha ChandrasekarLaxmikant Kale

communications systemscomputer sciencescalabilitylow latencyreliable communicationsnetworked system designdistributed systemscomputer engineeringshared memoryfine-grained communication

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

computer sciencehigh performance computer architecturescalabilityhigh performance computingperformance evaluationworkload characterizationmicroarchitectureparallel computingsystem softwareparallel programmingcomputer architectureoperating systemsperformance analysis tool

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

Jaemin ChoiZane FinkSam WhiteNitin BhatDavid F. RichardsLaxmikant V. Kale

computer sciencehigh performance computer architectureprogramming languagesgpu architecturecomputer engineeringparallel computingparallel programminggpu computingcomputer architecturegpu clustergpu systems

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

Nitin BhatSam WhiteLaxmikant V. Kale

concurrent systemscomputer sciencesystems engineeringlogic in computer scienceconcurrency (computer science)programming languagesdistributed systemszero copy semanticsparallel computingformal verificationautomated reasoningformal methods

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

Sam WhiteLaxmikant V. Kale

concurrent programmingcomputer sciencehigh performance computer architecturescalabilityconcurrency (computer science)distributed processingadaptive mpidistributed systemscommunication asynchronydistributed computingcomputer engineeringparallel computingparallel programmingcommunication locality

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

Jaemin ChoiDavid F. RichardsLaxmikant V. Kale

computer sciencehigh performance computer architecturescalabilitykernel fusiongpu architecturecomputer engineeringparallel computingparallel programminggpu computingcomputer architectureasynchronous taskscuda graphsmassively-parallel computing

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

Sam WhiteLaxmikant V. Kale

computer sciencedynamic load balancingscalabilityadaptive mpidistributed systemsparallel performance evaluationcomputer engineeringparallel computingparallel programmingmpi rankscluster computingruntime systemsmassively-parallel computing

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Laxmikant V Kale

Research Professor & Paul and Cynthia Saylor Professor Emeritus

UIUC

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 Uiuc.

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

UIUC

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

computer sciencehigh performance computer architecturecomputational scienceprogramming languagesadvanced computingscientific computingparallel computingparallel programmingformal methods

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

communications systemscomputer sciencescalabilitylow latencyreliable communicationsnetworked system designdistributed systemscomputer engineeringshared memoryfine-grained communication

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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