Faculty

Institution

Unit

Venue

Scott Lloyd

Brigham Young University

Affiliations

Ira A. Fulton College of Engineering

Electrical and Computer Engineering

NoneScott Lloyd is currently serving as a Electrical And Computer Engineering faculty at Brigham Young University.

Honors

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Experiences

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Education

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Scott Lloyd

Brigham Young University

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computer science memory bioinformatics sequence alignment applied mathematics computer engineering electrical engineering machine learning hardware acceleration accelerator technology reconfigurable computing formal methods pattern recognition parallel computing topology computer architecture power electronics electronics data-intensive computing reconfigurable architectures hardware emulation design space exploration accelerator physics micro-electromechanical systems emerging memory technologies industrial electronics open-source system algorithmic differentiation rram-based tcams pattern search in-memory data rearrangement universal coding data-centric workloads reconfigurable hardware near memory accelerators fpga emulation numerical codec main memory storage class memory modular architecture packet-switched network architecture high performance computer architecture microarchitecture

Notable Scholarly Works

Notable Federal Grants

Collaborators

SCCL: An Open-Source Systemc to Rtl Translator. IEEE Symposium on Field-Programmable Custom Computing Machines (2023)

Zhuanhao WuMaya GokhaleScott LloydHiren Patel

communications systemssystems engineeringopen-source system

ZHW: A Numerical Codec for Big Data Scientific Computation. (2022)

Michael BarrowZhuanhao WuScott LloydMaya GokhaleHiren PatelPeter Lindstrom

computer sciencenumerical codecbig data

Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator. arXiv (Cornell University) (2021)

Joshua LandgrafScott LloydMaya B. Gokhale

accelerator technologyhardware accelerationelectrical engineeringmodeling and simulationhardware emulation

ADAPT: Algorithmic Differentiation Applied to Floating-Point Precision Tuning. (2018)

Harshitha MenonMichael O. LamDaniel Osei-KuffuorMarkus SchordanScott LloydKathryn MohrorJeffrey Hittinger

computer sciencealgorithmic differentiationmachine learningapplied mathematicsformal methods

Design Space Exploration of Near Memory Accelerators. Proceedings of the International Symposium on Memory Systems (2018)

Scott LloydMaya Gokhale

design space explorationcomputer sciencenear memory acceleratorsaccelerator technologyaccelerator physicscognitive neuroscienceneurosciencespace exploration

Microscope on Memory: Mpsoc-Enabled Computer Memory System Assessments. IEEE Symposium on Field-Programmable Custom Computing Machines (2018)

Abhishek Kumar JainScott LloydMaya Gokhale

computer engineeringmemory

Performance Assessment of Emerging Memories Through Fpga Emulation. IEEE Micro (2018)

Abhishek Kumar JainScott LloydMaya Gokhale

systems engineeringfpga emulationmemorymicro-electromechanical systemsemerging memory technologiesoptoelectronicselectrical engineeringcomputer engineeringpower electronicselectronicsmicroelectronicsindustrial electronics

Universal Coding of the Reals. (2018)

Peter LindstromScott LloydJeffrey Hittinger

computer scienceuniversal codingtopologyapplied mathematics

Near Memory Key/Value Lookup Acceleration. Proceedings of the International Symposium on Memory Systems (2017)

Scott LloydMaya Gokhale

computer sciencememory

Evaluating the Feasibility of Storage Class Memory as Main Memory. (2016)

Scott LloydMaya Gokhale

systems engineeringmain memorymemorystorage class memory

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Scott Lloyd

Brigham Young University

Affiliations

Ira A. Fulton College of Engineering

Electrical and Computer Engineering

NoneScott Lloyd is currently serving as a Electrical And Computer Engineering faculty at Brigham Young University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Scott Lloyd

Brigham Young University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

SCCL: An Open-Source Systemc to Rtl Translator. IEEE Symposium on Field-Programmable Custom Computing Machines (2023)

Zhuanhao WuMaya GokhaleScott LloydHiren Patel

communications systemssystems engineeringopen-source system

ZHW: A Numerical Codec for Big Data Scientific Computation. (2022)

Michael BarrowZhuanhao WuScott LloydMaya GokhaleHiren PatelPeter Lindstrom

computer sciencenumerical codecbig data

Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator. arXiv (Cornell University) (2021)

Joshua LandgrafScott LloydMaya B. Gokhale

accelerator technologyhardware accelerationelectrical engineeringmodeling and simulationhardware emulation

ADAPT: Algorithmic Differentiation Applied to Floating-Point Precision Tuning. (2018)

Harshitha MenonMichael O. LamDaniel Osei-KuffuorMarkus SchordanScott LloydKathryn MohrorJeffrey Hittinger

computer sciencealgorithmic differentiationmachine learningapplied mathematicsformal methods

Design Space Exploration of Near Memory Accelerators. Proceedings of the International Symposium on Memory Systems (2018)

Scott LloydMaya Gokhale

design space explorationcomputer sciencenear memory acceleratorsaccelerator technologyaccelerator physicscognitive neuroscienceneurosciencespace exploration

Microscope on Memory: Mpsoc-Enabled Computer Memory System Assessments. IEEE Symposium on Field-Programmable Custom Computing Machines (2018)

Abhishek Kumar JainScott LloydMaya Gokhale

computer engineeringmemory

Performance Assessment of Emerging Memories Through Fpga Emulation. IEEE Micro (2018)

Abhishek Kumar JainScott LloydMaya Gokhale

Universal Coding of the Reals. (2018)

Peter LindstromScott LloydJeffrey Hittinger

computer scienceuniversal codingtopologyapplied mathematics

Near Memory Key/Value Lookup Acceleration. Proceedings of the International Symposium on Memory Systems (2017)

Scott LloydMaya Gokhale

computer sciencememory

Evaluating the Feasibility of Storage Class Memory as Main Memory. (2016)

Scott LloydMaya Gokhale

systems engineeringmain memorymemorystorage class memory

1
2
10 / page

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Similar Faculty Members

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Institution

University of California, Davis

scientific workloads

computer engineering

Christopher Batten

Institution

Cornell University

design automation

hardware specialization

David Andrews

Institution

University of Arkansas

hybridthreads

reconfigurable computing

Robert Karam

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University of South Florida

cryptographic hardware

hardware platform

Tom Conte

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optimizing compiler

program optimization

Michael B. Taylor

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network on chip

parallel computing

Janardhan Rao Jana Doppa

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machine learning

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electrical engineering

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design

multimedia user interface