Faculty

Institution

Unit

Venue

John Shen

Distinguished Service Professor

Carnegie Mellon University

Affiliations

College of Engineering

Electrical & Computer Engineering

John Shen is currently serving as a College Of Engineering Distinguished Service Professor at Carnegie Mellon University.

Honors

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Experiences

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Education

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John Shen

Carnegie Mellon University

Distinguished Service Professor

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computer science computer engineering computer architecture parallel computing microarchitecture high performance computer architecture systems engineering parallel programming software analysis processor architectures machine learning system software instruction-level parallelism multithreading (computer architecture) software engineering electrical engineering reliability engineering programming languages integrated circuits design automation vlsi circuit performance evaluation hardware security high-performance architectures compiler technology hardware architecture fault analysis computational optimization fault tolerance modeling and simulation data security parallel processing manycore processor circuit design system monitoring speculative precomputation caching design for testing inductive fault analysis value locality power electronics scientific computing cybernetics on-demand transport testing technique data flows architecture synthesis virtual multithreading field programmable gate array condition monitoring high performance computing system on chip cancer treatment failure detection runtime systems helper threads speculative disambiguation value prediction chip multiprocessors prescient instruction prefetch self-monitoring state machines mathematical optimization hardware reliability memory architectures self-monitoring matrix analysis low latency dataflow limit vliw architecture software thread integration space-time graph modeling data optimization data-driven decision-making computer-aided verification industrial control systems load value prediction

Notable Scholarly Works

Notable Federal Grants

Collaborators

MUGI: Value Level Parallelism for Efficient Llms. arXiv (Cornell University) (2026)

parallel processingscalabilitymicroarchitecturecomputer architecturecluster computingdata sciencecomputational optimizationcomputer engineeringparallel computingparallel complexity theorytheoretical computer scienceparallel softwareparallel programmingdistributed systemstheory of computationparallel implementationcomputational sciencehigh performance computer architecturemassively-parallel computingmemetic computingcomputer sciencecloud computing

CATWALK: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks. (2025)

machine learningneural network (machine learning)bio-inspired computationbrain-like computingrecurrent neural networkscomputational neuroscienceneuromorphic engineeringdeep learningneural computationunary top-kcomputational intelligencetemporal neural networksneuronal networkscomputer scienceneuroscience

Characterizing and Optimizing Llm Inference Workloads on CPU-GPU Coupled Architectures. arXiv (Cornell University) (2025)

microarchitecturecomputer architecturecluster computingneural computationdata sciencemany-core architecturesgpu clustercomputer engineeringparallel computingmodeling and simulationfield programmable gate arraygpu computingparallel programmingscientific computinghardware securitycomputational engineeringcomputational sciencehigh performance computer architecturegpu architecturehardware accelerationcomputer sciencedesign automation

Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge Dlas. (2025)

high-performance architecturesmicroarchitecturecomputer engineeringparallel computinghardware accelerationcomputer architecturetempus coredeep learninghigh performance computer architecturelow-precision edge dlasdomain-specific acceleratorcomputer sciencehardware algorithmedge computing

Commercial Evaluation of Zero-Skipping Mac Design for Bit Sparsity Exploitation in DL Inference. (2024)

Harideep NairPrabhu VellaisamyTsung-Han LinPerry WangShawn BlantonJohn Paul Shen

commercial evaluationdl inferencecomputer engineeringzero-skipping mac designbit sparsity exploitationcomputer science

Commercial Evaluation of Zero-Skipping Mac Design for Bit Sparsity Exploitation in DL Inference. arXiv (Cornell University) (2024)

Nair, HarideepVellaisamy, PrabhuLin, Tsung-HanWang, PerryBlanton, ShawnShen, John Paul

deep learningdl inferencecomputer sciencemachine learning

Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators. (2024)

Prabhu VellaisamyHarideep NairDi WuShawn BlantonJohn Paul Shen

matrix analysiscomputer engineering

NERTCAM: Cam-Based Cmos Implementation of Reference Frames for Neuromorphic Processors. arXiv (Cornell University) (2024)

Nair, HarideepLeyman, WilliamSampath, AgastyaJacobson, QuinnShen, John Paul

embedded systemsneuromorphic processorscomputer engineeringmicrocontroller implementationhardware accelerationcam-based cmos implementationcomputer scienceprocessor architectures

NERTCAM: Cam-Based Cmos Implementation of Reference Frames for Neuromorphic Processors. (2024)

vlsi technologyhardware architectureneuromorphic processorscomputer engineeringneuromorphic engineeringcomputer architectureintegrated circuitsneural computationbiomedical circuitsneural engineeringcomputer sciencevlsi circuit

OZMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference. (2024)

model compressiondl inferenceparallel computingcomputational sciencehigh performance computer architectureapproximate computingmachine learningsparse neural networkcomputer science

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John Shen

Distinguished Service Professor

Carnegie Mellon University

Affiliations

College of Engineering

Electrical & Computer Engineering

John Shen is currently serving as a College Of Engineering Distinguished Service Professor at Carnegie Mellon 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

John Shen

Carnegie Mellon University

Distinguished Service Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

MUGI: Value Level Parallelism for Efficient Llms. arXiv (Cornell University) (2026)

CATWALK: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks. (2025)

Characterizing and Optimizing Llm Inference Workloads on CPU-GPU Coupled Architectures. arXiv (Cornell University) (2025)

Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge Dlas. (2025)

Commercial Evaluation of Zero-Skipping Mac Design for Bit Sparsity Exploitation in DL Inference. (2024)

Harideep NairPrabhu VellaisamyTsung-Han LinPerry WangShawn BlantonJohn Paul Shen

commercial evaluationdl inferencecomputer engineeringzero-skipping mac designbit sparsity exploitationcomputer science

Commercial Evaluation of Zero-Skipping Mac Design for Bit Sparsity Exploitation in DL Inference. arXiv (Cornell University) (2024)

Nair, HarideepVellaisamy, PrabhuLin, Tsung-HanWang, PerryBlanton, ShawnShen, John Paul

deep learningdl inferencecomputer sciencemachine learning

Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators. (2024)

Prabhu VellaisamyHarideep NairDi WuShawn BlantonJohn Paul Shen

matrix analysiscomputer engineering

NERTCAM: Cam-Based Cmos Implementation of Reference Frames for Neuromorphic Processors. arXiv (Cornell University) (2024)

Nair, HarideepLeyman, WilliamSampath, AgastyaJacobson, QuinnShen, John Paul

embedded systemsneuromorphic processorscomputer engineeringmicrocontroller implementationhardware accelerationcam-based cmos implementationcomputer scienceprocessor architectures

NERTCAM: Cam-Based Cmos Implementation of Reference Frames for Neuromorphic Processors. (2024)

OZMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference. (2024)

model compressiondl inferenceparallel computingcomputational sciencehigh performance computer architectureapproximate computingmachine learningsparse neural networkcomputer science

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2
3
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5
34
10 / page

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design automation

high-level hardware design

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hardware algorithm

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biostatistics

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