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MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

IEEE MICRO, 2020-03, Vol.40 (2), p.8-16

2020

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Chasing Carbon: The Elusive Environmental Footprint of Computing

IEEE MICRO, 2022-07, Vol.42 (4), p.37-47

2022

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Machine Learning at Facebook: Understanding Inference at the Edge

2019 IEEE International Symposium on High Performance Computer Architecture (HPCA), 2019, p.331-344

2019

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Dynamic Temperature Management of Near-Sensor Processing for Energy-Efficient High-Fidelity Imaging

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.926

2021

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CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs

IEEE transactions on computers, 2022-12, Vol.71 (12), p.3191-3202

2022

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Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool

IEEE MICRO, 2023-07, Vol.43 (4), p.107

2023

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The Vision Behind MLPerf: Understanding AI Inference Performance

IEEE MICRO, 2021-05, Vol.41 (3), p.10-18

2021

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Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale

IEEE MICRO, 2021-09, Vol.41 (5), p.93-100

2021

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Special Issue on Environmentally Sustainable Computing

IEEE MICRO, 2023-01, Vol.43 (1), p.7-8

Wu, Carole-Jean

2023

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Configurable-ECC: Architecting a Flexible ECC Scheme to Support Different Sized Accesses in High Bandwidth Memory Systems

IEEE transactions on computers, 2019-05, Vol.68 (5), p.646-659

2019

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A joint management middleware to improve training performance of deep recommendation systems with SSDs

Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022, p.157-162

2022

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AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning

2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020, p.1082-1096

2020

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Using Low Cost Erasure and Error Correction Schemes to Improve Reliability of Commodity DRAM Systems

IEEE transactions on computers, 2016-12, Vol.65 (12), p.3766-3779

2016

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AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning

MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021, p.183-198

2021

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MLPerf inference benchmark

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020, p.446-459

2020

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Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021, p.802-814

2021

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RecNMP: accelerating personalized recommendation with near-memory processing

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020, p.790-803

2020

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Chasing Carbon: The Elusive Environmental Footprint of Computing

2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021, p.854-867

2021

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DeepRecSys: a system for optimizing end-to-end at-scale neural recommendation inference

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020, p.982-995

2020

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The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

2020 IEEE International Symposium on High Performance Computer Architecture (HPCA), 2020, p.488-501

2020

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ACT: designing sustainable computer systems with an architectural carbon modeling tool

Proceedings of the 49th Annual International Symposium on Computer Architecture, 2022, p.784-799

2022

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MCM-GPU: Multi-chip-module GPUs for continued performance scalability

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.320-332

2017

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Exploiting Parallelism Opportunities with Deep Learning Frameworks

ACM transactions on architecture and code optimization, 2021-01, Vol.18 (1), p.1-23

2021

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GEVO: GPU Code Optimization Using Evolutionary Computation

ACM transactions on architecture and code optimization, 2020-11, Vol.17 (4), p.1-28

2020

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EdgeWise: Energy-efficient CNN Computation on Edge Devices under Stochastic Communication Delays

ACM transactions on embedded computing systems, 2022-10, Vol.21 (5), p.1-27

2022

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MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

Chasing Carbon: The Elusive Environmental Footprint of Computing

Machine Learning at Facebook: Understanding Inference at the Edge

Dynamic Temperature Management of Near-Sensor Processing for Energy-Efficient High-Fidelity Imaging

CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs

Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool

The Vision Behind MLPerf: Understanding AI Inference Performance

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale

Special Issue on Environmentally Sustainable Computing

Configurable-ECC: Architecting a Flexible ECC Scheme to Support Different Sized Accesses in High Bandwidth Memory Systems

A joint management middleware to improve training performance of deep recommendation systems with SSDs

AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning

Using Low Cost Erasure and Error Correction Schemes to Improve Reliability of Commodity DRAM Systems

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning

MLPerf inference benchmark

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

RecNMP: accelerating personalized recommendation with near-memory processing

Chasing Carbon: The Elusive Environmental Footprint of Computing

DeepRecSys: a system for optimizing end-to-end at-scale neural recommendation inference

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

ACT: designing sustainable computer systems with an architectural carbon modeling tool

MCM-GPU: Multi-chip-module GPUs for continued performance scalability

Exploiting Parallelism Opportunities with Deep Learning Frameworks

GEVO: GPU Code Optimization Using Evolutionary Computation

EdgeWise: Energy-efficient CNN Computation on Edge Devices under Stochastic Communication Delays

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