Shaden Smith
Shaden Smith
Research Scientist, Intel Labs
Verified email at cs.umn.edu - Homepage
TitleCited byYear
SPLATT: Efficient and parallel sparse tensor-matrix multiplication
S Smith, N Ravindran, ND Sidiropoulos, G Karypis
2015 IEEE International Parallel and Distributed Processing Symposium, 61-70, 2015
962015
A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization
S Smith, G Karypis
Parallel and Distributed Processing Symposium (IPDPS), 2016 IEEE International, 2016
53*2016
Tensor-Matrix Products with a Compressed Sparse Tensor
S Smith, G Karypis
5th Workshop on Irregular applications: Architectures and Algorithms (IA^3), 2015
472015
FROSTT: The Formidable Repository of Open Sparse Tensors and Tools
S Smith, JW Choi, J Li, R Vuduc, J Park, X Liu, G Karypis
http://frostt.io/, 2017
342017
Bridging the gap between HPC and big data frameworks
M Anderson, S Smith, N Sundaram, M Capotă, Z Zhao, S Dulloor, ...
Proceedings of the VLDB Endowment 10 (8), 901-912, 2017
312017
Sparse tensor factorization on many-core processors with high-bandwidth memory
S Smith, J Park, G Karypis
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
252017
Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition
N Ravindran, ND Sidiropoulos, S Smith, G Karypis
2014 48th Asilomar Conference on Signals, Systems and Computers, 581-585, 2014
242014
Truss Decomposition on Shared-Memory Parallel Systems
S Smith, X Liu, NK Ahmed, AS Tom, F Petrini, G Karypis
IEEE High Performance Extreme Computing Conference (HPEC), 2017
212017
An Exploration of Optimization Algorithms for High Performance Tensor Completion
S Smith, J Park, G Karypis
Proceedings of the 2016 ACM/IEEE Conference on Supercomputing (SC '16), 2016
212016
Big data frequent pattern mining
DC Anastasiu, J Iverson, S Smith, G Karypis
Frequent Pattern Mining, 225-259, 2014
212014
Accelerating the tucker decomposition with compressed sparse tensors
S Smith, G Karypis
European Conference on Parallel Processing, 653-668, 2017
152017
Exploring Optimizations on Shared-memory Platforms for Parallel Triangle Counting Algorithms
AS Tom, N Sundaram, NK Ahmed, S Smith, S Eyerman, M Kodiyath, I Hur, ...
IEEE High Performance Extreme Computing Conference (HPEC), 2017
142017
Constrained Tensor Factorization with Accelerated AO-ADMM
S Smith, A Beri, G Karypis
46th International Conference on Parallel Processing (ICPP '17), 2017
132017
SPLATT: The Surprisingly ParalleL spArse Tensor Toolkit
S Smith, G Karypis
http://cs.umn.edu/~splatt/, 2015
122015
Weighted-sequence problem: ASP vs CASP and declarative vs problem-oriented solving
Y Lierler, S Smith, M Truszczynski, A Westlund
International Symposium on Practical Aspects of Declarative Languages, 63-77, 2012
122012
Big Data and Recommender Systems
DC Anastasiu, E Christakopoulou, S Smith, M Sharma, G Karypis
Department of Computer Science & Engineering, University of Minnesota, 2016
72016
Blocking Optimization Techniques for Sparse Tensor Computation
J Choi, X Liu, S Smith, T Simon
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
52018
Streaming tensor factorization for infinite data sources
S Smith, K Huang, ND Sidiropoulos, G Karypis
Proceedings of the 2018 SIAM International Conference on Data Mining, 81-89, 2018
52018
HPC formulations of optimization algorithms for tensor completion
S Smith, J Park, G Karypis
Parallel Computing 74, 99-117, 2018
22018
Scalability and distribution of collaborative recommenders
E Christakopoulou, S Smith, M Sharma, A Richards, D Anastasiu, ...
Collaborative Recommendations: Algorithms, Practical Challenges and …, 2018
12018
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