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SPRINT

Sparse Storage Formats

  1. COO
  1. HiCOO Published in SC18: International Conference for High Performance Computing, Networking, Storage and Analysis
  1. F-COO
  1. CSF
  1. B-CSF
  1. HB-CSF
  1. MM-CSF
  1. CISS
  1. ALTO
  1. 2:4 Sparsity (Matrix Only)

Frameworks

Tensor

  1. The Surprisingly ParalleL spArse Tensor Toolkit (SPLATT)
  2. ParTI!
  3. Cyclops Tensor Framework (CTF)
  4. FROSST (Data)
  5. TACO

Graph

  1. Gunrock
  2. GraphBLAST
  3. cuGRAPH
  4. CombBLAS
  5. GraphBLAS
  6. nvGraph
  7. []

Matrix

  1. Eigen
  2. LAPACK
  3. ScaLAPACK
  4. BLAS
  5. suitesparse
  6. Armadillo
  7. MAGMA
  8. sparseX
  9. Pardiso

Papers

Tensor

  1. Efficient MATLAB computations with sparse and factored tensors , SIAM Journal on Scientific Computing, vol. 30, no. 1, pp. 205–231, December 2007
  2. Tensor Decompositions and Applications , SIAM Review, vol. 51, no. 3, pp. 455–500, 2009
  3. GigaTensor: Scaling Tensor Analysis Up By 100 Times
  4. SpTFS: sparse tensor format selection for MTTKRP via deep learning
  5. Load-Balanced Sparse MTTKRP on GPUs
  6. ALTO: Adaptive Linearized Storage of Sparse Tensors
  7. DFacTo: Distributed Factorization of Tensors
  8. Software for Sparse Tensor Decomposition on Emerging Computing Architectures
  9. Format Abstraction for Sparse Tensor Algebra Compilers
  10. Implementing a high performance tensor library
  11. Optimizing sparse tensor times matrix on GPUs
  12. Efficient and Scalable Computations with Sparse Tensors , High Performance Extreme Computing (HPEC), 2012
  13. Scalable sparse tensor decompositions in distributed memory systems , International Conference for High Performance Computing, Networking, Storage and Analysis, 2015
  14. High-performance parallel algorithms for the Tucker decomposition of higher order sparse tensors
  15. HaTen2: Billion-scale Tensor Decompositions , International Conference on Data Engineering (ICDE), 2015
  16. SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication , Parallel & Distributed Processing Symposium, ser. IPDPS, 2015
  17. Tensor-Matrix Products with a Compressed Sparse Tensor
  18. Efficient and effective sparse tensor reordering
  19. HiCOO: Hierarchical Storage of Sparse Tensors
  20. An Eficient Mixed-Mode Representation of Sparse Tensors
  21. Sparse Tensor Algebra as a Parallel Programming Model 2015
  22. Tensor-Matrix Products with a Compressed Sparse Tensor , 5th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2015
  23. Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures , 2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3)
  24. A Unified Optimization Approach for Sparse Tensor Operations on GPUs , 2017 IEEE International Conference on Cluster Computing (CLUSTER), Sept 2017
  25. Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computation 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)
  26. The Surprisingly ParalleL spArse Tensor Toolkit (SPLATT)
  27. Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 2021
  28. Efficient MATLAB computations with sparse and factored tensors
  29. A High-Performance Sparse Tensor Algebra Compiler in sMulti-Level IR
  30. The Tensor Algebra Compiler
  31. Sparse Tensor Algebra Compilation (thesis)
  32. High performance rearrangement and multiplication routines for sparse tensor arihtmetic
  33. DISTAL

Matrix

  1. On the Representation and Multiplication of Hypersparse Matrices
  2. Bridging the Gap between Deep Learning and Sparse Matrix Format Selection
  3. Load-balancing Sparse Matrix Vector Product Kernels on GPUs
  4. OuterSPACE: An Outer Product based Sparse Matrix Multiplication Accelerator

Graph

  1. Mathematical Foundations of the GraphBLAS IEEE High Performance Extreme Computing (HPEC) conference 2016
  2. GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU 2019
  3. LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms 2021, GrAPL (Workshop on Graphs, Architectures, Programming, and Learning) at IPDPS

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