Faculty

Institution

Unit

Venue

Andreas Gerstlauer

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Andreas Gerstlauer 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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Andreas Gerstlauer

University of Texas at Austin

Professor

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systems engineering computer science electrical engineering computer engineering machine learning modeling and simulation design automation embedded systems parallel computing power electronics computer architecture software engineering formal methods computer-aided design deep learning information technology embedded machine learning embedded system design microarchitecture wireless communications design space exploration parallel programming human-computer interaction mobile computing reconfigurable architectures high-performance architectures quality-of-service electronic design automation advanced computing automatic generation system level design high performance computer architecture hardware architecture system synthesis graph processing hardware acceleration specc methodology host-compiled simulation communication security programming languages software analysis system software intelligent computing vehicular technology specification language electronic engineering approximate computing high performance computing quantum cryptography information theory runtime systems program optimization virtual prototyping circuit design performance prediction electronic design matrix factorization heterogeneous computing hardware modeling high-level synthesis approximate hardware horizontal side-channel vulnerabilities survey tradeoffs resource-constrained edge devices transaction level models circuit-level timing-error acceptance c-based high-level synthesis interactive design environment graph processing workloads real-time streaming systems distributed artificial intelligence control architecture synthesis methods model verification logic synthesis power control technology industrial informatics model-based system engineering cyber-physical systems embedded architecture

Notable Scholarly Works

Notable Federal Grants

Collaborators

Characterizing Machine Learning-Based Runtime Prefetcher Selection. IEEE Computer Architecture Letters (2024)

Erika S. AlcortaMahesh MadhavRichard AfoakwaScott TetrickNeeraja J. YadwadkarAndreas Gerstlauer

systems engineeringmachine learningcomputer engineeringparallel computingcomputer architecturecomputer science

Efficient Approaches for Gemm Acceleration on Leading AI-Optimized Fpgas. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

Endri TakaDimitrios GourounasAndreas GerstlauerDiana MarculescuAman Arora

accelerated designai-optimized fpgasfpga designaccelerator technologygemm accelerationelectrical engineeringapplied mathematicsengineeringperformance evaluation

Sok Paper: Power Side-Channel Malware Detection. (2024)

Alexander CathisGe LiShijia WeiMichael OrshanskyMohit TiwariAndreas Gerstlauer

firmware detectioncomputer securityside-channel attacksdata securityinformation securitythreat detectioncomputer science

TUTORIAL: Large-Scale Spiking Neuromorphic Architecture Exploration Using Sana-Fe. (2024)

James A. BoyleMark PlaggeSuma G. CardwellFrances S. ChancAndreas Gerstlauer

neuromorphic architecture explorationneuroimagingcomputational neuroscienceneuromorphic engineeringsystems neuroscienceneural computationneural engineeringneuroscience

A Hierarchical Classification Method for High-Accuracy Instruction Disassembly With Near-Field Em Measurements. ACM Transactions on Embedded Computing Systems (2023)

Vishnuvardhan V. IyerAditya ThimmaiahMichael OrshanskyAndreas GerstlauerAli E. Yilmaz

embedded machine learningsystems engineeringhierarchical classification methodhierarchical classificationclassification methodelectrical engineeringmachine learningnear-field em measurementscomputer science

FAWS: Fpga Acceleration of Large-Scale Wave Simulations. (2023)

Dimitrios GourounasBagus HanindhitoArash FathiDimitar TrenevLizy K. JohnAndreas Gerstlauer

computer sciencehardware accelerationlarge-scale wave simulationsfpga acceleration

LAWS: Large-Scale Accelerated Wave Simulations on Fpgas. (2023)

Dimitrios GourounasBagus HanindhitoArash FathiDimitar TrenevLizy JohnAndreas Gerstlauer

modeling and simulationlarge-scale simulationsengineeringaerospace engineering

Lightweight ML-Based Runtime Prefetcher Selection on Many-Core Platforms. arXiv (Cornell University) (2023)

Alcorta, Erika S.Madhav, MaheshTetrick, ScottYadwadkar, Neeraja J.Gerstlauer, Andreas

embedded machine learningsystems engineeringmobile computingmachine learningruntime systemscomputer engineeringwireless communicationscomputer architectureintelligent computingdeep learningadvanced computingubiquitous computingmany-core platformscomputer science

MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference. IFIP advances in information and communication technology (2023)

Jackson FarleyAndreas Gerstlauer

machine learningneural networksmemory-aware fusingcomputer visionmemorydeep learninginformation technologymachine visionaccelerated edge inferencecomputer scienceedge computing

Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. (2023)

James BoyleMark PlaggeSuma George CardwellFrances S. ChanceAndreas Gerstlauer

neuromorphic architecturesfast explorationenergy simulationneural engineeringneuroscience

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Andreas Gerstlauer

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Andreas Gerstlauer 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

Andreas Gerstlauer

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Characterizing Machine Learning-Based Runtime Prefetcher Selection. IEEE Computer Architecture Letters (2024)

Erika S. AlcortaMahesh MadhavRichard AfoakwaScott TetrickNeeraja J. YadwadkarAndreas Gerstlauer

systems engineeringmachine learningcomputer engineeringparallel computingcomputer architecturecomputer science

Efficient Approaches for Gemm Acceleration on Leading AI-Optimized Fpgas. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

Endri TakaDimitrios GourounasAndreas GerstlauerDiana MarculescuAman Arora

accelerated designai-optimized fpgasfpga designaccelerator technologygemm accelerationelectrical engineeringapplied mathematicsengineeringperformance evaluation

Sok Paper: Power Side-Channel Malware Detection. (2024)

Alexander CathisGe LiShijia WeiMichael OrshanskyMohit TiwariAndreas Gerstlauer

firmware detectioncomputer securityside-channel attacksdata securityinformation securitythreat detectioncomputer science

TUTORIAL: Large-Scale Spiking Neuromorphic Architecture Exploration Using Sana-Fe. (2024)

James A. BoyleMark PlaggeSuma G. CardwellFrances S. ChancAndreas Gerstlauer

neuromorphic architecture explorationneuroimagingcomputational neuroscienceneuromorphic engineeringsystems neuroscienceneural computationneural engineeringneuroscience

A Hierarchical Classification Method for High-Accuracy Instruction Disassembly With Near-Field Em Measurements. ACM Transactions on Embedded Computing Systems (2023)

Vishnuvardhan V. IyerAditya ThimmaiahMichael OrshanskyAndreas GerstlauerAli E. Yilmaz

FAWS: Fpga Acceleration of Large-Scale Wave Simulations. (2023)

Dimitrios GourounasBagus HanindhitoArash FathiDimitar TrenevLizy K. JohnAndreas Gerstlauer

computer sciencehardware accelerationlarge-scale wave simulationsfpga acceleration

LAWS: Large-Scale Accelerated Wave Simulations on Fpgas. (2023)

Dimitrios GourounasBagus HanindhitoArash FathiDimitar TrenevLizy JohnAndreas Gerstlauer

modeling and simulationlarge-scale simulationsengineeringaerospace engineering

Lightweight ML-Based Runtime Prefetcher Selection on Many-Core Platforms. arXiv (Cornell University) (2023)

Alcorta, Erika S.Madhav, MaheshTetrick, ScottYadwadkar, Neeraja J.Gerstlauer, Andreas

MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference. IFIP advances in information and communication technology (2023)

Jackson FarleyAndreas Gerstlauer

machine learningneural networksmemory-aware fusingcomputer visionmemorydeep learninginformation technologymachine visionaccelerated edge inferencecomputer scienceedge computing

Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. (2023)

James BoyleMark PlaggeSuma George CardwellFrances S. ChanceAndreas Gerstlauer

neuromorphic architecturesfast explorationenergy simulationneural engineeringneuroscience

1
2
3
4
5
22
10 / page

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