Results 21 to 30 of about 53,358 (305)
On sunflowers and matrix multiplication [PDF]
computational complexity, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noga Alon +2 more
openaire +5 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication [PDF]
SIAM Journal on Scientific Computing, 2016 Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-performance graph algorithms as well as for some linear solvers, such as algebraic multigrid. The scaling of existing parallel implementations of SpGEMM is heavily bound by communication.
Ariful Azad +7 more
openaire +7 more sources
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
doaj +1 more source
AN ORDER-P TENSOR MULTIPLICATION WITH CIRCULANT STRUCTURE
Barekeng, 2023 Research on mathematical operations involving multidimensional arrays or tensors has increased along with the growing applications involving multidimensional data analysis. The -product of order- tensor is one of tensor multiplications.
Itsar Mangngiri +2 more
doaj +1 more source
ASIC Implementation of Bit Matrix Multiplier [PDF]
E3S Web of Conferences, 2023 In computer science and digital electronics, a bit matrix multiplier (BMM) is a mathematical operation that is used to quickly multiply binary matrices.
Reddy K. Swetha +4 more
doaj +1 more source
Local Re-Encoding for Coded Matrix Multiplication
IEEE Open Journal of the Communications Society, 2022 Matrix multiplication is a fundamental operation in various algorithms for big data analytics and machine learning. As the size of the dataset increases rapidly, it is now a common practice to distribute the computation on multiple servers. As straggling
Xian Su +4 more
doaj +1 more source