Shaden Smith

According to our database, Shaden Smith authored at least 26 papers between 2012 and 2023.

Collaborative distances:

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

2023

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.

Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs.

Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang

IEEE Trans. Knowl. Data Eng., 2022

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro

CoRR, 2022

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale.

Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning.

Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He

Proceedings of the International Conference for High Performance Computing, 2021

High Performance Streaming Tensor Decomposition.

Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

PIUMA: Programmable Integrated Unified Memory Architecture.

Sriram Aananthakrishnan, Nesreen K. Ahmed, Vincent Cavé, Marcelo Cintra, Yigit Demir, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Ivan Ganev, Wim Heirman, Hans-Christian Hoppe, Jason Howard, Ibrahim Hur, Midhunchandra Kodiyath, Samkit Jain, Daniel S. Klowden, Marek M. Landowski, Laurent Montigny, Ankit More, Przemyslaw Ossowski, Robert Pawlowski, Nick Pepperling, Fabrizio Petrini, Mariusz Sikora, Balasubramanian Seshasayee, Shaden Smith, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche, Izajasz P. Wrosz

CoRR, 2020

Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations.

Nitish Kumar Srivastava, Hanchen Jin, Shaden Smith, Hongbo Rong, David H. Albonesi, Zhiru Zhang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2018

HPC formulations of optimization algorithms for tensor completion.

Shaden Smith, Jongsoo Park, George Karypis

Parallel Comput., 2018

Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph.

Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang

CoRR, 2018

Streaming Tensor Factorization for Infinite Data Sources.

Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Blocking Optimization Techniques for Sparse Tensor Computation.

Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Scalability and Distribution of Collaborative Recommenders.

Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis

Proceedings of the Collaborative Recommendations, 2018

2017

Bridging the Gap between HPC and Big Data frameworks.

Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke

Proc. VLDB Endow., 2017

Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory.

Shaden Smith, Jongsoo Park, George Karypis

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Constrained Tensor Factorization with Accelerated AO-ADMM.

Shaden Smith, Alec Beri, George Karypis

Proceedings of the 46th International Conference on Parallel Processing, 2017

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms.

Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Truss decomposition on shared-memory parallel systems.

Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Accelerating the Tucker Decomposition with Compressed Sparse Tensors.

Shaden Smith, George Karypis

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

2016

An exploration of optimization algorithms for high performance tensor completion.

Shaden Smith, Jongsoo Park, George Karypis

Proceedings of the International Conference for High Performance Computing, 2016

A Medium-Grained Algorithm for Sparse Tensor Factorization.

Shaden Smith, George Karypis

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Tensor-matrix products with a compressed sparse tensor.

Shaden Smith, George Karypis

Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication.

Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, George Karypis

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition.

Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, George Karypis

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Big Data Frequent Pattern Mining.

David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis

Proceedings of the Frequent Pattern Mining, 2014

2012

Weighted-Sequence Problem: ASP vs CASP and Declarative vs Problem-Oriented Solving.

Yuliya Lierler, Shaden Smith, Miroslaw Truszczynski, Alex Westlund

Proceedings of the Practical Aspects of Declarative Languages, 2012