Shaden Smith - RankMe

30 papers A* 1A 11B 1C 1Misc 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. SC Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding
2023	A	`conf`	HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023	J	`jnl`	HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. CoRR Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2022	J	`jnl`	DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
2022	A	`conf`	DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He
2022	J	`jnl`	Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2022	J	`jnl`	Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR 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
2021	A	`conf`	High Performance Streaming Tensor Decomposition. IPDPS Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi
2021	J	`jnl`	ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning. CoRR Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
2021	A	`conf`	ZeRO-infinity: breaking the GPU memory wall for extreme scale deep learning. SC Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
2020	J	`jnl`	PIUMA: Programmable Integrated Unified Memory Architecture. CoRR 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
2020	A*	`conf`	Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations. HPCA Nitish Kumar Srivastava, Hanchen Jin, Shaden Smith, Hongbo Rong, David H. Albonesi, Zhiru Zhang
2018	A	`conf`	Blocking Optimization Techniques for Sparse Tensor Computation. IPDPS Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon
2018	J	`jnl`	HPC formulations of optimization algorithms for tensor completion. Parallel Comput. Shaden Smith, Jongsoo Park, George Karypis
2018	—	`ch.`	Scalability and Distribution of Collaborative Recommenders. Collaborative Recommendations Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis
2018	J	`jnl`	Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. CoRR Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2018	A	`conf`	Streaming Tensor Factorization for Infinite Data Sources. SDM Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis
2017	—	`conf`	Accelerating the Tucker Decomposition with Compressed Sparse Tensors. Euro-Par Shaden Smith, George Karypis
2017	J	`jnl`	Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke
2017	B	`conf`	Constrained Tensor Factorization with Accelerated AO-ADMM. ICPP Shaden Smith, Alec Beri, George Karypis
2017	—	`conf`	Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis
2017	A	`conf`	Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. IPDPS Shaden Smith, Jongsoo Park, George Karypis
2017	—	`conf`	Truss decomposition on shared-memory parallel systems. HPEC Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis
2016	A	`conf`	A Medium-Grained Algorithm for Sparse Tensor Factorization. IPDPS Shaden Smith, George Karypis
2016	A	`conf`	An exploration of optimization algorithms for high performance tensor completion. SC Shaden Smith, Jongsoo Park, George Karypis
2015	A	`conf`	SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. IPDPS Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, George Karypis
2015	—	`conf`	Tensor-matrix products with a compressed sparse tensor. IA3@SC Shaden Smith, George Karypis
2014	—	`ch.`	Big Data Frequent Pattern Mining. Frequent Pattern Mining David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis
2014	Misc	`conf`	Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. ACSSC Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, George Karypis
2012	C	`conf`	Weighted-Sequence Problem: ASP vs CASP and Declarative vs Problem-Oriented Solving. PADL Yuliya Lierler, Shaden Smith, Miroslaw Truszczynski, Alex Westlund