Results 21 to 30 of about 3,122,051 (263)

Algorithm 898 : efficient multiplication of dense matrices over GF(2) [PDF]

open access: yes, 2010
We describe an efficient implementation of a hierarchy of algorithms for multiplication of dense matrices over the field with two elements (F-2). In particular we present our implementation in the M4RI library-of Strassen-Winograd matrix multiplication ...
Albrecht, Martin   +5 more
core   +1 more source

Coded Matrix Multiplication [PDF]

open access: yes, 2022
Matrix multiplication is a fundamental building block in many machine learning models. As the input matrices may be too large to be multiplied on a single server, it is common to split input matrices into multiple sub-matrices and execute the ...
Fan, Xiaodi
core   +1 more source

A large dimensional matrix chain matrix multiplier for extremely low IO bandwidth requirements

open access: yesDianzi Jishu Yingyong, 2019
Large-dimensional matrix multiplication is often implemented by submatrix block method. The maximum size of the submatrix determines the speed of the entire matrix multiplication.
Song Yukun   +3 more
doaj   +1 more source

An Approximation Algorithm for the Matrix Tree Multiplication Problem [PDF]

open access: yes, 2021
We consider the Matrix Tree Multiplication problem. This problem is a generalization of the classic Matrix Chain Multiplication problem covered in the dynamic programming chapter of many introductory algorithms textbooks.
Ngo, Hung   +6 more
core   +1 more source

Investigating supply chain challenges of public sector agriculture development projects in Bangladesh: An application of modified Delphi-BWM-ISM approach.

open access: yesPLoS ONE, 2022
This study aims to investigate the supply chain challenges of public sector agriculture development projects in Bangladesh using the modified Delphi, Best Worst Method (BWM), and Interpretive Structural Modelling (ISM) methods.
Md Raquibuzzaman Khan   +4 more
doaj   +1 more source

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units

open access: yesIEEE Access, 2019
In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due, in part, to computational complexity in parameter optimization.
Guhyun Kim   +8 more
doaj   +1 more source

Identifying Decisive Socio-Political Sustainability Barriers in the Supply Chain of Banking Sector in India: Causality Analysis Using ISM and MICMAC

open access: yesMathematics, 2021
The banking sector often plays a crucial role in the improvement of infrastructure and economy of any country. In many emerging economies, it is apparent that a wide variety of social and political issues are related to the associated supply chain ...
Wen-Kuo Chen   +3 more
doaj   +1 more source

Spatial Covariance Matrix Reconstruction for DOA Estimation in Hybrid Massive MIMO Systems With Multiple Radio Frequency Chains [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2021
Multiple signal classification (MUSIC) has been widely applied in multiple-input multiple-output (MIMO) receivers for direction-of-arrival (DOA) estimation. To reduce the cost of radio frequency (RF) chains operating at millimeter-wave bands, hybrid analog-digital structure has been adopted in massive MIMO transceivers.
Yinsheng Liu   +4 more
openaire   +3 more sources

Optimisation of constant matrix multiplication operation hardware using a genetic algorithm [PDF]

open access: yes, 2006
The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems.
O'Connor, Noel E.   +6 more
core   +2 more sources

DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs

open access: yes, 2022
Matrix computation, in particular, matrix multiplication is time-consuming, but essentially and widely used in a large number of applications in science and industry.
남윤민   +5 more
core   +1 more source

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