Suchergebnisse - "Sparse Matrix-Sparse Matrix Multiplication"

  1. 1

    Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures von Deveci, Mehmet, Trott, Christian, Rajamanickam, Sivasankaran

    ISSN: 0167-8191, 1872-7336
    Veröffentlicht: United States Elsevier B.V 01.10.2018
    Veröffentlicht in Parallel computing (01.10.2018)
    “… •We propose thread scalable data structures to achieve scalability on various platforms, and a graph compression technique to speedup symbolic factorization …”
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    Journal Article
  2. 2

    I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication von Gleinig, Niels, Besta, Maciej, Hoefler, Torsten

    ISSN: 1530-2075
    Veröffentlicht: IEEE 01.05.2022
    “… s. We present a cache-oblivious sparse matrix-sparse matrix multiplication algorithm that uses a worst-case number of I/O s that matches a previously established lower bound for this problem (0 (N2/B.M) read-I/Os and 0 (N2/B …”
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    Tagungsbericht
  3. 3

    Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns von Jin, Hanchen, Yue, Zichao, Zhao, Zhongyuan, Du, Yixiao, Deng, Chenhui, Srivastava, Nitish, Zhang, Zhiru

    ISSN: 0278-0070, 1937-4151
    Veröffentlicht: New York IEEE 01.05.2025
    “… , and sparse-matrix-sparse-matrix multiplication. Recently, an active area of research has emerged to build specialized hardware accelerators for these SLA kernels …”
    Volltext
    Journal Article
  4. 4

    Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight von Chen, Yuedan, Xiao, Guoqing, Yang, Wangdong

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.05.2020
    Veröffentlicht in Neural computing & applications (01.05.2020)
    “… General sparse matrix-sparse matrix (SpGEMM) multiplication is one of the basic kernels in a great many applications. Several works focus on various …”
    Volltext
    Journal Article
  5. 5

    FSMM: An Efficient Matrix Multiplication Accelerator Supporting Flexible Sparsity von Qiao, Yuxuan, Yang, Fan, Zhang, Yecheng, Xiong, Xiankui, Yao, Xiao, Yao, Haidong

    ISSN: 1558-2434
    Veröffentlicht: ACM 27.10.2024
    “… Sparse matrix multiplication is a critical operation in deep learning. However, matrix sparsity leads to irregular data flow, which would degrade the …”
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    Tagungsbericht
  6. 6

    SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation von Seo, Gwanghwi, Ryu, Sungju

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2025
    Veröffentlicht in IEEE access (2025)
    “… Sparse matrix-sparse matrix multiplication (SpMSpM) is crucial in many fields such as scientific computing, sparse linear algebra, and machine learning due to its computational complexity in the large and extremely sparse datasets …”
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    Journal Article
  7. 7

    Efficient Parallel Sparse Tensor Contraction von Singh, Somesh, Ucar, Bora

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: IEEE 01.06.2025
    “… ). This operation, also called sparse tensor contraction, is a higher order analogue of the sparse matrix-sparse matrix multiplication (SpGEMM) operation …”
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    Journal Article
  8. 8

    Performance-Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer von Chen, Yuedan, Li, Kenli, Yang, Wangdong, Xiao, Guoqing, Xie, Xianghui, Li, Tao

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.04.2019
    “… General sparse matrix-sparse matrix multiplication (SpGEMM) is one of the fundamental linear operations in a wide variety of scientific applications …”
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    Journal Article
  9. 9

    LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks von Yin, Ruokai, Kim, Youngeun, Wu, Di, Panda, Priyadarshini

    ISSN: 2379-3155
    Veröffentlicht: IEEE 02.11.2024
    “… : sparse-matrix-sparse-matrix multiplication (spMspM). Our observations reveal that executing a dual-sparse SNN on existing spMspM accelerators designed for dual-sparse Artificial Neural Networks (ANNs …”
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    Tagungsbericht
  10. 10

    GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication von Zhang, Xiaoyu, Li, Zerun, Liu, Rui, Chen, Xiaoming, Han, Yinhe

    ISSN: 0018-9340, 1557-9956
    Veröffentlicht: New York IEEE 01.06.2024
    Veröffentlicht in IEEE transactions on computers (01.06.2024)
    “… ), and sparse matrix-sparse matrix multiplication (SpMSpM). The performance of traditional sparse matrix multiplication accelerators is typically bounded by memory access due to the poor data locality and irregular memory access …”
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    Journal Article
  11. 11

    An Efficient Gustavson-based Sparse Matrix-matrix Multiplication Accelerator on Embedded FPGAs von Li, Shiqing, Huai, Shuo, Liu, Weichen

    ISSN: 0278-0070, 1937-4151
    Veröffentlicht: New York IEEE 01.12.2023
    “… Sparse-matrix sparse-matrix multiplication (SpMM) is an important kernel in multiple areas, e.g …”
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    Journal Article
  12. 12

    Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays von Palmer, Bruce, Ghosh, Sayan, Marquez, Andres

    ISSN: 2643-1971
    Veröffentlicht: IEEE 23.09.2024
    “… Partitioned Global Address Space (PGAS) models exhibit tremendous promise in developing efficient and productive distributed-memory parallel applications. They …”
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    Tagungsbericht
  13. 13

    Optimizing High Performance Markov Clustering for Pre-Exascale Architectures von Selvitopi, Oguz, Hussain, Md Taufique, Azad, Ariful, Buluc, Aydin

    ISSN: 1530-2075
    Veröffentlicht: IEEE 01.05.2020
    “… ) and can cluster large-scale networks within hours using a few thousand CPU-equipped nodes. It relies on sparse matrix computations and heavily makes use of the sparse matrix-sparse matrix multiplication kernel (SpGEMM …”
    Volltext
    Tagungsbericht
  14. 14

    Performance-portable sparse matrix-matrix multiplication for many-core architectures von Deveci, Mehmet, Trott, Christian, Rajamanickam, Sivasankaran

    Veröffentlicht: IEEE 01.05.2017
    “… We consider the problem of writing performance portablesparse matrix-sparse matrix multiplication (SPGEMM) kernelfor many-core architectures. We approach the …”
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    Tagungsbericht
  15. 15

    Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU von Yang, Carl, Yangzihao Wang, Owens, John D.

    Veröffentlicht: IEEE 01.05.2015
    “… The algorithm seems generalize able for single-source shortest path (SSSP) and sparse-matrix sparse-matrix multiplication, and other core graph primitives such as maximal …”
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    Tagungsbericht
  16. 16

    Send Volume Balancing in Reduce Operations von Çavuşoğlu, Muhammed

    ISBN: 9798209975076
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2020
    “… We validate our proposed algorithms on two kernel operations: sparse matrix-sparse matrix multiplication (SpGEMM …”
    Volltext
    Dissertation
  17. 17

    Graph/Hypergraph Partitioning Models for Simultaneous Load Balancing on Computation and Data von Çeliktuğ, Mestan Fırat

    ISBN: 9798209944614
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2018
    “… : parallel mesh simulations and parallel sparse matrix sparse matrix multiplication …”
    Volltext
    Dissertation
  18. 18

    LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks von Yin, Ruokai, Kim, Youngeun, Wu, Di, Panda, Priyadarshini

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 14.08.2024
    Veröffentlicht in arXiv.org (14.08.2024)
    “… In this work, we study the acceleration of dual-sparse SNNs, focusing on their core operation, sparse-matrix-sparse-matrix multiplication (spMspM …”
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    Paper
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    Application Specific Logic-in-Memory von Zhu, Qiuling

    ISBN: 1303727145, 9781303727146
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2013
    “… This thesis aims to exploit recent cutting-edge low level technology advances to build energy-efficient computing platforms to accelerate today's memory-bound …”
    Volltext
    Dissertation
  20. 20

    Optimizing High Performance Markov Clustering for Pre-Exascale Architectures von Selvitopi, Oguz, Hussain, Md Taufique, Azad, Ariful, Buluç, Aydın

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 24.02.2020
    Veröffentlicht in arXiv.org (24.02.2020)
    “… ) and can cluster large-scale networks within hours using a few thousand CPU-equipped nodes. It relies on sparse matrix computations and heavily makes use of the sparse matrix-sparse matrix multiplication kernel (SpGEMM …”
    Volltext
    Paper