Weighted-Sequence Problem: ASP vs CASP and Declarative vs Problem-Oriented Solving. - Yuliya Lierler; Shaden Smith; Miroslaw Truszczynski; Alex Westlund (PADL, 2012)

Big Data Frequent Pattern Mining. - David C. Anastasiu; Jeremy Iverson; Shaden Smith; George Karypis (Frequent Pattern Mining, 2014)

Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. - Niranjay Ravindran; Nicholas D. Sidiropoulos; Shaden Smith; George Karypis (ACSSC, 2014)

SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. - Shaden Smith; Niranjay Ravindran; Nicholas D. Sidiropoulos; George Karypis (IPDPS, 2015)

Tensor-matrix products with a compressed sparse tensor. - Shaden Smith; George Karypis (IA3@SC, 2015)

A Medium-Grained Algorithm for Sparse Tensor Factorization. - Shaden Smith; George Karypis (IPDPS, 2016)

An exploration of optimization algorithms for high performance tensor completion. - Shaden Smith; Jongsoo Park; George Karypis (SC, 2016)

Accelerating the Tucker Decomposition with Compressed Sparse Tensors. - Shaden Smith; George Karypis (Euro-Par, 2017)

Truss decomposition on shared-memory parallel systems. - Shaden Smith; Xing Liu; Nesreen K. Ahmed; Ancy Sarah Tom; Fabrizio Petrini; George Karypis (HPEC, 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 (HPEC, 2017)

Constrained Tensor Factorization with Accelerated AO-ADMM. - Shaden Smith; Alec Beri; George Karypis (ICPP, 2017)

Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. - Shaden Smith; Jongsoo Park; George Karypis (IPDPS, 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)

Scalability and Distribution of Collaborative Recommenders. - Evangelia Christakopoulou; Shaden Smith; Mohit Sharma 002; Alex Richards; David C. Anastasiu; George Karypis (Collaborative Recommendations, 2018)

Blocking Optimization Techniques for Sparse Tensor Computation. - Jee W. Choi; Xing Liu; Shaden Smith; Tyler A. Simon (IPDPS, 2018)

Streaming Tensor Factorization for Infinite Data Sources. - Shaden Smith; Kejun Huang; Nicholas D. Sidiropoulos; George Karypis (SDM, 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)

HPC formulations of optimization algorithms for tensor completion. - Shaden Smith; Jongsoo Park; George Karypis (Parallel Comput., 2018)

Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations. - Nitish Kumar Srivastava; Hanchen Jin; Shaden Smith; Hongbo Rong; David H. Albonesi; Zhiru Zhang (HPCA, 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; et al. (CoRR, 2020)

High Performance Streaming Tensor Decomposition. - Yongseok Soh; Patrick Flick; Xing Liu; Shaden Smith; Fabio Checconi; Fabrizio Petrini; Jee W. Choi (IPDPS, 2021)

ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning. - Samyam Rajbhandari; Olatunji Ruwase; Jeff Rasley; Shaden Smith; Yuxiong He (SC, 2021)

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Reza Yazdani Aminabadi; Samyam Rajbhandari; Ammar Ahmad Awan; Cheng Li 001; Du Li; Elton Zheng; Olatunji Ruwase; Shaden Smith; Minjia Zhang; Jeff Rasley; Yuxiong He (SC, 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; et al. (CoRR, 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)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. - Chengming Zhang 006; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu 001; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (ICS, 2023)

RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. - Zaifeng Pan; Zhen Zheng; Feng Zhang 007; Bing Xie; Ruofan Wu; Shaden Smith; Chuanjie Liu; Olatunji Ruwase; Xiaoyong Du 001; Yufei Ding 001 (SC, 2024)