Results 21 to 30 of about 2,725,619 (370)
Implementation of the Spark technique in a matrix distributed computing algorithm
Journal of Intelligent Systems, 2022 Two analyzes of Spark engine performance strategies to implement the Spark technique in a matrix distributed computational algorithm, the multiplication of a sparse multiplication operational test model.
Wang Ying, Cengiz Korhan
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Vertices of Suborbital Graph $F_{u,N}$ under Lorentz Matrix Multiplication
Journal of New Theory, 2022 In this study, suborbital graphs, $G_{u,N}$ and $F_{u,N}$ are examined. Modular group $\Gamma$ and its act on $\widehat{\mathbb{Q}}$ are studied. Lorentz matrix that gives the vertices obtained under the classical matrix multiplication in the suborbital
Ali Hikmet Değer, İbrahim Gökcan
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Matrix Multiplication Vector Code Generation Based on Polyhedron Model [PDF]
Jisuanji kexue, 2022 Matrix multiplication is the core of many scientific calculations,and vectorized programming is one of the main means to improve its performance.In view of the existing vectorization optimization problems that often require manual tuning and need to be ...
WANG Bo-yang, PANG Jian-min, XU Jin-long, ZHAO Jie, TAO Xiao-han, ZHU Yu
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Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow
International Conference on Architectural Support for Programming Languages and Operating Systems, 2023 Sparse matrix-matrix multiplication (SpGEMM) is widely used in many scientific and deep learning applications. The highly irregular structures of SpGEMM limit its performance and efficiency on conventional computation platforms, and thus motivate a large
Zhiyao Li +6 more
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Flip Graphs for Matrix Multiplication [PDF]
International Symposium on Symbolic and Algebraic Computation, 2022 We introduce a new method for discovering matrix multiplication schemes based on random walks in a certain graph, which we call the flip graph. Using this method, we were able to reduce the number of multiplications for the matrix formats (4,4,5) and (5 ...
Manuel Kauers, Jakob Moosbauer
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Matrix-matrix multiplication on heterogeneous platforms [PDF]
Proceedings 2000 International Conference on Parallel Processing, 2002 In this paper, we address the issue of implementing matrix-matrix multiplication on heterogeneous platforms. We target two different classes of heterogeneous computing resources: heterogeneous networks of workstations, and collections of heterogeneous clusters.
Beaumont, Olivier +3 more
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Gamma: leveraging Gustavson’s algorithm to accelerate sparse matrix multiplication
International Conference on Architectural Support for Programming Languages and Operating Systems, 2021 Sparse matrix-sparse matrix multiplication (spMspM) is at the heart of a wide range of scientific and machine learning applications. spMspM is inefficient on general-purpose architectures, making accelerators attractive.
Guowei Zhang +3 more
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A Refined Laser Method and Faster Matrix Multiplication [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2020 The complexity of matrix multiplication is measured in terms of $\omega$, the smallest real number such that two $n\times n$ matrices can be multiplied using $O(n^{\omega+\epsilon})$ field operations for all $\epsilon>0$; the best bound until now is ...
Josh Alman, V. V. Williams
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Design of Matrix Multiplication Accelerator for Deep Learning Inference [PDF]
Jisuanji gongcheng, 2019 An integer matrix multiplication accelerator based on Zynq SoC platform is proposed to satisfy the computing requirements of matrix multiplication of different sizes in deep learning inference.The parallel architecture based on bus broadcasting makes ...
RAN Decheng, WU Dong, QIAN Lei
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Fully private and secure coded matrix multiplication with colluding workers
ICT Express, 2023 In this paper, we propose a new coded computation scheme that can alleviate straggler effects in distributed computing. We consider data security and master’s privacy for matrix multiplication tasks.
Minchul Kim, Heecheol Yang, Jungwoo Lee
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