Faculty

Institution

Unit

Venue

Sandhya Dwarkadas

Visiting Research Professor of Computer Science

University of Rochester

Affiliations

School of Arts & Sciences

Data Science

Sandhya Dwarkadas is currently serving as a Data Science Visiting Research Professor of Computer Science at University of Rochester.

Honors

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Experiences

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Education

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Sandhya Dwarkadas

University of Rochester

Visiting Research Professor of Computer Science

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computer science computer engineering computer architecture parallel computing high performance computer architecture microarchitecture scalability distributed systems parallel programming shared memory system software high-performance architectures cluster computing operating systems software engineering software analysis memory management program analysis networked system design caching data management parallel performance evaluation systems engineering programming languages distributed computing transactional memory hardware security manycore processor processor architectures data science many-core architectures multiprocessor systems memory architectures distributed environment distributed processing performance prediction performance analysis tool virtual memory multithreading (computer architecture) design automation service computing concurrency control compiler technology concurrent programming concurrency (computer science) middleware system data security knowledge discovery power-aware computing parallelizing compiler parallel software operating system security power-efficient computing instruction-level parallelism vlsi circuit distributed search engine runtime systems side-channel attacks splash benchmark suite software dsm hardware coherence coherence protocol semantic evaluation semantic web atm network multiple clock domain flexible transactional memory dynamic frequency memory channel hardware execution tlb hierarchy available parallelism execution-driven simulation available resources minimal coherence requirements dynamic load balancing runtime support parallel processing

Notable Scholarly Works

Notable Federal Grants

Collaborators

RELIEF: Relieving Memory Pressure in Socs via Data Movement-Aware Accelerator Scheduling. (2024)

Sudhanshu GuptaSandhya Dwarkadas

systems engineeringparallel computingscheduling (computing)

Blast From the Past: Least Expected Use (Leu) Cache Replacement With Statistical History. International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2023)

Sayak ChakrabortiZhizhou ZhangNoah BertramChen DingSandhya Dwarkadas

statistical historycomputer sciencecache replacementperformance evaluation

The Impact of Page Size and Microarchitecture on Instruction Address Translation Overhead. ACM Transactions on Architecture and Code Optimization (2023)

Yufeng ZhouAlan L. CoxSandhya DwarkadasXiaowan Dong

systems engineeringmachine learningmicroarchitecturecomputer engineeringcomputer architecturepage sizecomputer science

MAPPER: Managing Application Performance via Parallel Efficiency Regulation. ACM Transactions on Architecture and Code Optimization (2022)

Sharanyan SrikanthanSayak ChakrabortiPrinceton FerroSandhya Dwarkadas

scalabilityperformance issuesmicroarchitecturecomputer engineeringparallel computingruntime modificationcomputer architecturehigh performance computer architectureparallel performance evaluationperformance analysis toolparallel efficiency regulationcomputer scienceqos guaranteeparallel programming

Preventing Coherence State Side Channel Leaks Using Timecache. IEEE Transactions on Computers (2022)

Divya OjhaSandhya Dwarkadas

computer engineeringintelligent computinginformation technologyubiquitous computinginformation securitycomputer science

Interference-Aware Micro-Architectural Resource Manager for Hybrid Workloads.. Conference on Innovative Data Systems Research (2021)

Utku SirinSandhya DwarkadasAnastasia Ailamaki

scalabilityhigh-performance architecturesdistributed systemsheterogeneous computinghybrid workloadsmicroarchitecturecomputer engineeringcomputer architecturehigh performance computer architecturearchitectural support

Performance Characterization of Htap Workloads. 2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021)

Utku SirinSandhya DwarkadasAnastasia Ailamaki

scalabilityhigh-performance architecturesshared memoryheterogeneous computingmicroarchitecturecomputer engineeringcomputer architecturehigh performance computer architectureworkload interferencecomputer scienceoltp workloadhtap systems

TIMECACHE: Using Time to Eliminate Cache Side Channels When Sharing Software. (2021)

Divya OjhaSandhya Dwarkadas

microarchitecturecomputer architecturecache side channelsside-channel attackssystem softwaretiming side channelcomputer engineeringparallel computinghardware securitycachinghigh performance computer architecturedata securityshared memoryusing timecryptographycomputer securitycryptographic hardwareinformation securitycomputer science

Managing Application Parallelism via Parallel Efficiency Regulation. (2019)

Sharanyan SrikanthanPrinceton FerroSayak ChakrabortiSandhya Dwarkadas

scalabilitydistributed systemsapplication parallelismcomputer engineeringparallel computingcomputer architecturelow parallel efficiencyhigh performance computer architecturemultiprocessor systemsparallel performance evaluationparallel efficiency regulationcomputer scienceparallel programming

On the Impact of Instruction Address Translation Overhead. (2019)

Yufeng ZhouXiaowan DongAlan L. CoxSandhya Dwarkadas

high-performance architecturescompiler technologymicroarchitectureaddress translation overheadcomputer engineeringparallel computingsoftware engineeringcomputer architectureprogram analysisoperating systemspage table sharinghigh performance computer architecturedata address translationinstruction-level parallelismmemory managementsystem softwarecomputer science

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Sandhya Dwarkadas

Visiting Research Professor of Computer Science

University of Rochester

Affiliations

School of Arts & Sciences

Data Science

Sandhya Dwarkadas is currently serving as a Data Science Visiting Research Professor of Computer Science at University of Rochester.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sandhya Dwarkadas

University of Rochester

Visiting Research Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

RELIEF: Relieving Memory Pressure in Socs via Data Movement-Aware Accelerator Scheduling. (2024)

Sudhanshu GuptaSandhya Dwarkadas

systems engineeringparallel computingscheduling (computing)

Sayak ChakrabortiZhizhou ZhangNoah BertramChen DingSandhya Dwarkadas

statistical historycomputer sciencecache replacementperformance evaluation

The Impact of Page Size and Microarchitecture on Instruction Address Translation Overhead. ACM Transactions on Architecture and Code Optimization (2023)

Yufeng ZhouAlan L. CoxSandhya DwarkadasXiaowan Dong

systems engineeringmachine learningmicroarchitecturecomputer engineeringcomputer architecturepage sizecomputer science

MAPPER: Managing Application Performance via Parallel Efficiency Regulation. ACM Transactions on Architecture and Code Optimization (2022)

Sharanyan SrikanthanSayak ChakrabortiPrinceton FerroSandhya Dwarkadas

Preventing Coherence State Side Channel Leaks Using Timecache. IEEE Transactions on Computers (2022)

Divya OjhaSandhya Dwarkadas

computer engineeringintelligent computinginformation technologyubiquitous computinginformation securitycomputer science

Interference-Aware Micro-Architectural Resource Manager for Hybrid Workloads.. Conference on Innovative Data Systems Research (2021)

Utku SirinSandhya DwarkadasAnastasia Ailamaki

Performance Characterization of Htap Workloads. 2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021)

Utku SirinSandhya DwarkadasAnastasia Ailamaki

TIMECACHE: Using Time to Eliminate Cache Side Channels When Sharing Software. (2021)

Divya OjhaSandhya Dwarkadas

Managing Application Parallelism via Parallel Efficiency Regulation. (2019)

Sharanyan SrikanthanPrinceton FerroSayak ChakrabortiSandhya Dwarkadas

On the Impact of Instruction Address Translation Overhead. (2019)

Yufeng ZhouXiaowan DongAlan L. CoxSandhya Dwarkadas

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