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DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.

U. Gupta, S. Hsia, V. Saraph, X. Wang, B. Reagen, G. Wei, H. Lee, D. Brooks, and C. Wu. ISCA, page 982-995. IEEE, (2020)

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Carole Bourquin

Carole Urvoy

Carole Knibbe

Carole Simon

Carole Arnaud

Other publications of authors with the same name

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning.G. Kim, M. Ghasemi, S. Heidari, S. Kim, Y. Kim, S. Vrudhula, and C. Wu. CoRR, (2024)Understanding Scaling Laws for Recommendation Models.N. Ardalani, C. Wu, Z. Chen, B. Bhushanam, and A. Aziz. CoRR, (2022)Energy-Efficient Mapping for a Network of DNN Models at the Edge.M. Ghasemi, S. Heidari, Y. Kim, A. Lamb, C. Wu, and S. Vrudhula. SMARTCOMP, page 25-30. IEEE, (2021)MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability.A. Arunkumar, E. Bolotin, B. Cho, U. Milic, E. Ebrahimi, O. Villa, A. Jaleel, C. Wu, and D. Nellans. ISCA, page 320-332. ACM, (2017)AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning.Y. Kim, and C. Wu. MICRO, page 183-198. ACM, (2021)Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation.L. Ke, U. Gupta, M. Hempstead, C. Wu, H. Lee, and X. Zhang. HPCA, page 141-154. IEEE, (2022)Understanding the Power of Evolutionary Computation for GPU Code Optimization.J. Liou, M. Awan, S. Hofmeyr, S. Forrest, and C. Wu. IISWC, page 185-198. IEEE, (2022)Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters.B. Acun, B. Lee, F. Kazhamiaka, K. Maeng, U. Gupta, M. Chakkaravarthy, D. Brooks, and C. Wu. ASPLOS (2), page 118-132. ACM, (2023)RecShard: statistical feature-based memory optimization for industry-scale neural recommendation.G. Sethi, B. Acun, N. Agarwal, C. Kozyrakis, C. Trippel, and C. Wu. ASPLOS, page 344-358. ACM, (2022)DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.U. Gupta, S. Hsia, V. Saraph, X. Wang, B. Reagen, G. Wei, H. Lee, D. Brooks, and C. Wu. ISCA, page 982-995. IEEE, (2020)

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Disambiguation of "Wu, Carole-Jean"

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DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.

Please choose a person to relate this publication to

Carole Bourquin

Carole Urvoy

Carole Knibbe

Carole Simon

Carole Arnaud

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Carole-Jean"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.

Please choose a person to relate this publication to

Carole Bourquin

Carole Urvoy

Carole Knibbe

Carole Simon

Carole Arnaud

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.