Results 1 to 10 of about 48 (47)
Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations] [PDF]
F1000ResearchBackground Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning.
Srinivasarao Thota +2 more
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An effective implementation of Strassen’s algorithm using AVX intrinsics for a multicore architecture [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 This paper proposes an effective implementation of Strassen’s algorithm with AVX intrinsics to augment matrix-matrix multiplication in a multicore system.
Nwe Zin Oo, Panyayot Chaikan
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Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems
Algorithms, 2022 In this work, we consider the problem of calculating the generalized Moore–Penrose inverse, which is essential in many applications of graph theory.
Vukašin Stanojević +4 more
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A Method of Ultra-Large-Scale Matrix Inversion Using Block Recursion
Information, 2020 Ultra-large-scale matrix inversion has been applied as the fundamental operation of numerous domains, owing to the growth of big data and matrix applications.
HouZhen Wang, Yan Guo, HuanGuo Zhang
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A New Processing Approach for Reducing Computational Complexity in Cloud-RAN Mobile Networks
IEEE Access, 2018 Cloud computing is considered as one of the key drivers for the next generation of mobile networks (e.g. 5G). This is combined with the dramatic expansion in mobile networks, involving millions (or even billions) of subscribers with a greater number of ...
Ali M. Mahmood +2 more
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F1000ResearchBackground Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning.
Srinivasarao Thota +2 more
doaj +1 more source
Design and implementation of a parallel system based on FPGA resources
Dianzi Jishu YingyongAddressing the challenge of low development efficiency in the heterogeneous resource architecture combining general-purpose CPUs and Field Programmable Gate Arrays (FPGAs), a novel proxy-based thread management framework is proposed by leveraging ...
Liu Hongwei +5 more
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On Invertibility of Large Binary Matrices
MathematicsMany data processing applications involve binary matrices for storing digital information. At present, there are limited results in the literature about algorithms for inverting large binary matrices.
Ibrahim Mammadov +2 more
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IEEE AccessMatrix multiplication is a fundamental operation across many domains. For $4\times 4$ matrices, the naive algorithm requires 64 multiplications, while Strassen’s method reduces this to 49.
Ettore Napoli
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Investigation of Energy and Power Characteristics of Various Matrix Multiplication Algorithms
EnergiesThis work studied the energy behavior of six matrix multiplication algorithms with various physical asset usage patterns. Two were variants of the straight inner product of rows and columns. The rest were variants of Strassen’s divide-and-conquer.
Salem Alsari, Muhammad Al-Hashimi
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