Samuel Hsia

19 papers A* 4B 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Carbon Aware Transformers Through Joint Model-Hardware Optimization.
CoRR
Irene Wang, Newsha Ardalani, Mostafa Elhoushi, Daniel Jiang, Samuel Hsia, Ekin Sumbul, Divya Mahajan, Carole-Jean Wu, Bilge Acun
2025 J jnl
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.
IEEE Micro
Yejin Lee, Alicia Golden, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodríguez, Ram Pasunuru, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2025 J jnl
PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training.
CoRR
Alicia Golden, Michael Kuchnik, Samuel Hsia, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 B conf
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
ISPASS
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 J jnl
Is Flash Attention Stable?
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 A* conf
MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.
ISCA
Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 B conf
Characterizing the Scalability of Graph Convolutional Networks on Intel
ISPASS
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
2023 J jnl
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 J jnl
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.
CoRR
Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 J jnl
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation.
CoRR
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 — conf
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation.
ASPLOS (3)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2021 A* conf
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.
MICRO
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2021 J jnl
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.
CoRR
Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2021 J jnl
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference.
CoRR
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2021 A* conf
RecSSD: near data processing for solid state drive based recommendation inference.
ASPLOS
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2020 — conf
Cross-Stack Workload Characterization of Deep Recommendation Systems.
IISWC
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020 J jnl
Cross-Stack Workload Characterization of Deep Recommendation Systems.
CoRR
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020 A* conf
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.
ISCA
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2020 J jnl
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference.
CoRR
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu