Samuel Hsia

According to our database, Samuel Hsia authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.

Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu

CoRR, 2023

MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.

Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu

CoRR, 2023

Characterizing the Scalability of Graph Convolutional Networks on Intel^® PIUMA.

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

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation.

Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2021

RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.

Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

RecSSD: near data processing for solid state drive based recommendation inference.

Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

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

Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Cross-Stack Workload Characterization of Deep Recommendation Systems.

Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks

Proceedings of the IEEE International Symposium on Workload Characterization, 2020