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ORCIDShaden Smith
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2020 – today
- 2023
[c18]Chengming Zhang
, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS 2023: 324-335- [i6]Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. CoRR abs/2304.07334 (2023) - 2022
- [j3]Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang:
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. 34(12): 5964-5978 (2022) - [c17]Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He:
DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC 2022: 46:1-46:15 - [i5]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:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR abs/2201.11990 (2022) - [i4]Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR abs/2207.00032 (2022) - 2021
- [c16]Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi:
High Performance Streaming Tensor Decomposition. IPDPS 2021: 683-692 - [c15]Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He:
ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning. SC 2021: 59 - [i3]Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He:
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning. CoRR abs/2104.07857 (2021) - 2020
- [c14]Nitish Kumar Srivastava, Hanchen Jin, Shaden Smith, Hongbo Rong, David H. Albonesi, Zhiru Zhang:
Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations. HPCA 2020: 689-702 - [i2]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:
PIUMA: Programmable Integrated Unified Memory Architecture. CoRR abs/2010.06277 (2020)
2010 – 2019
- 2018
- [j2]Shaden Smith, Jongsoo Park, George Karypis:
HPC formulations of optimization algorithms for tensor completion. Parallel Comput. 74: 99-117 (2018) - [c13]Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon:
Blocking Optimization Techniques for Sparse Tensor Computation. IPDPS 2018: 568-577 - [c12]Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis:
Streaming Tensor Factorization for Infinite Data Sources. SDM 2018: 81-89 - [p2]Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis:
Scalability and Distribution of Collaborative Recommenders. Collaborative Recommendations 2018: 369-404 - [i1]Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang:
Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. CoRR abs/1802.07379 (2018) - 2017
- [j1]Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke:
Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. 10(8): 901-912 (2017) - [c11]Shaden Smith, George Karypis:
Accelerating the Tucker Decomposition with Compressed Sparse Tensors. Euro-Par 2017: 653-668 - [c10]Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis:
Truss decomposition on shared-memory parallel systems. HPEC 2017: 1-6 - [c9]Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis:
Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC 2017: 1-7 - [c8]Shaden Smith, Alec Beri, George Karypis:
Constrained Tensor Factorization with Accelerated AO-ADMM. ICPP 2017: 111-120 - [c7]Shaden Smith, Jongsoo Park, George Karypis:
Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. IPDPS 2017: 1058-1067 - 2016
- [c6]Shaden Smith, George Karypis:
A Medium-Grained Algorithm for Sparse Tensor Factorization. IPDPS 2016: 902-911 - [c5]Shaden Smith, Jongsoo Park, George Karypis:
An exploration of optimization algorithms for high performance tensor completion. SC 2016: 359-371 - 2015
- [c4]Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, George Karypis:
SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. IPDPS 2015: 61-70 - [c3]Shaden Smith, George Karypis:
Tensor-matrix products with a compressed sparse tensor. IA3@SC 2015: 5:1-5:7 - 2014
- [c2]Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, George Karypis:
Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. ACSSC 2014: 581-585 - [p1]David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis:
Big Data Frequent Pattern Mining. Frequent Pattern Mining 2014: 225-259 - 2012
- [c1]Yuliya Lierler, Shaden Smith, Miroslaw Truszczynski, Alex Westlund:
Weighted-Sequence Problem: ASP vs CASP and Declarative vs Problem-Oriented Solving. PADL 2012: 63-77
Coauthor Index
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