Samuel Hsia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Recommendation Quality

Collaborative Filtering Recommendation Algorithm

Top Venues

Publications

Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. ISCA (2024)
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. ISPASS (2024)
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Is Flash Attention Stable? CoRR (2024)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. ASPLOS (3) (2023)
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. CoRR (2023)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation. CoRR (2023)
Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks
PIUMA. ISPASS (2023)
Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. CoRR (2023)
Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. CoRR (2021)
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
RecSSD: near data processing for solid state drive based recommendation inference. ASPLOS (2021)
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. CoRR (2021)
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. MICRO (2021)
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. ISCA (2020)
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference. CoRR (2020)
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
Cross-Stack Workload Characterization of Deep Recommendation Systems. IISWC (2020)
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
Cross-Stack Workload Characterization of Deep Recommendation Systems. CoRR (2020)