Faculty

Institution

Unit

Venue

Yale Patt

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

College of Natural Sciences

Computer Science

Yale Patt is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

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Experiences

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Education

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Yale Patt

University of Texas at Austin

Professor

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computer science parallel computing computer engineering systems engineering machine learning computer architecture microarchitecture electrical engineering high performance computer architecture performance evaluation processor architectures high-performance architectures parallel programming hardware acceleration high performance computing scientific computing advanced computing caching micro-electromechanical systems computer security data management information technology scheduling (computing) micro technology hardware architecture distributed processing ubiquitous computing instruction-level parallelism compiler technology parallel processing runahead execution branch prediction alternative implementations program analysis information management fault recovery embedded architecture branch prediction accuracy trace cache performance impact indirect jumps automatic control soft computing machine learning research memory management performance prediction power-efficient computing utility-based cache partitioning large instruction windows multi-core systems v-way cache checkpoint repair mechanisms checkpoint repair branch classification hybrid branch predictors multithreaded applications electronics logic in computer science numerical algorithms software analysis system science wireless communications microwave technology storage allocation incremental learning adaptive learning gpu computing external-memory algorithm target prediction distributed resource management scheduling (production processes) fault tolerance control architecture metadata management data format data flows instruction level parallelism computer design technology superscalar processor design

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Alternate Path Fetch. (2024)

Aniket DeshmukhLingzhe Chester CaiYale N. Patt

alternate path fetchfeedback looproute choiceroute planningcomputer sciencepath planning

Hcw 2024 Keynote: Hetero: Where We've Been, Where We Are, and What Next?. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Yale Patt

scientific computingparallel processingdistributed systemsheterogeneous computingdistributed computingparallel computingadvanced computingdistributed processingcomputer scienceparallel programming

HETERO: Where We've Been, Where We Are, and What Next?. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Yale Patt

scientific computingtechnologyparallel processingdistributed data processingdistributed systemsparallel implementationdistributed computingparallel computingdata managementdata scienceclusteringdistributed processingcomputer scienceparallel programming

The Correct First Course in Computing for Serious Students. Computer (2024)

Yale N. Patt

technologycomputer-based educationcomputational scienceeducationcorrect first courseserious studentsinformation technologyurgent computingcomputing educationeducational technologycomputer sciencemathematics educationcomputational literacy

Timely, Efficient, and Accurate Branch Precomputation. (2024)

Aniket DeshmukhLingzheChester CaiYale N. Patt

computer scienceaccurate branch precomputation

SAFEGUARD: Reducing the Security Risk From Row-Hammer via Low-Cost Integrity Protection. (2022)

Ali FakhrzadehganYale N. PattPrashant J. NairMoinuddin K. Qureshi

security riskrisk managementlow-cost integrity protectioninformation security

Branch Runahead: An Alternative to Branch Prediction for Impossible to Predict Branches. IEEE/ACM International Symposium on Microarchitecture (2021)

Stephen PruettYale Patt

computer sciencemachine learningbranch runahead

Criticality Driven Fetch. (2021)

Aniket DeshmukhYale N. Patt

yield optimizationoperational efficiencycritical care

BRANCHNET: A Convolutional Neural Network to Predict Hard-To-Predict Branches. IEEE/ACM International Symposium on Microarchitecture (2020)

Siavash ZangenehStephen PruettSangkug LymYale N. Patt

machine learningconvolutional neural networksdeep learninghard-to-predict branchessupervised learningcomputer scienceadversarial machine learning

Branch Prediction With Multilayer Neural Networks: The Value of Specialization. (2020)

Siavash ZangenehStephen PruettYale Patt

branch predictionmultilayer neural networkscomputer sciencemachine learning

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Yale Patt

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

College of Natural Sciences

Computer Science

Yale Patt is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yale Patt

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Alternate Path Fetch. (2024)

Aniket DeshmukhLingzhe Chester CaiYale N. Patt

alternate path fetchfeedback looproute choiceroute planningcomputer sciencepath planning

Hcw 2024 Keynote: Hetero: Where We've Been, Where We Are, and What Next?. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Yale Patt

scientific computingparallel processingdistributed systemsheterogeneous computingdistributed computingparallel computingadvanced computingdistributed processingcomputer scienceparallel programming

HETERO: Where We've Been, Where We Are, and What Next?. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024)

Yale Patt

The Correct First Course in Computing for Serious Students. Computer (2024)

Yale N. Patt

Timely, Efficient, and Accurate Branch Precomputation. (2024)

Aniket DeshmukhLingzheChester CaiYale N. Patt

computer scienceaccurate branch precomputation

SAFEGUARD: Reducing the Security Risk From Row-Hammer via Low-Cost Integrity Protection. (2022)

Ali FakhrzadehganYale N. PattPrashant J. NairMoinuddin K. Qureshi

security riskrisk managementlow-cost integrity protectioninformation security

Branch Runahead: An Alternative to Branch Prediction for Impossible to Predict Branches. IEEE/ACM International Symposium on Microarchitecture (2021)

Stephen PruettYale Patt

computer sciencemachine learningbranch runahead

Criticality Driven Fetch. (2021)

Aniket DeshmukhYale N. Patt

yield optimizationoperational efficiencycritical care

BRANCHNET: A Convolutional Neural Network to Predict Hard-To-Predict Branches. IEEE/ACM International Symposium on Microarchitecture (2020)

Siavash ZangenehStephen PruettSangkug LymYale N. Patt

machine learningconvolutional neural networksdeep learninghard-to-predict branchessupervised learningcomputer scienceadversarial machine learning

Branch Prediction With Multilayer Neural Networks: The Value of Specialization. (2020)

Siavash ZangenehStephen PruettYale Patt

branch predictionmultilayer neural networkscomputer sciencemachine learning

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