Multithreaded matrix handling library for Java
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Updated
Nov 8, 2017 - Java
Multithreaded matrix handling library for Java
Interfaces and Classes for classic matrix multiplication as well as graphics matrix manipulation
Using distributed systems to perform matrix multiplication
These were that the assignments that we have done during our third semester of Engineering for the course Data Structure and Algorithm 2
This is a very efficient matrix multiplication calculator built using Java and its concurrency libraries. It can be used to multiply matrices populated using a random seed, but it can also be modified to use predefined values. The difference in efficiency using 1 thread can be compared to using more threads.
A simple problem list of assignments solved as part of the curriculum in Data Structures and Algorithms. We used different approaches to solve real time problems.
🔗 Code and projects developed in the CPD course unit
Simple java multi-threaded matrix multiplier
Sistema de controle de pratos e porções de uma jantinha com matrizes
МГТУ ИУ7 "Анализ алгоритмов" лабораторные работы
A collection of a few basic algorithms implemented using MapReduce (Hadoop)
Simple and easy-to-use neural network library made into a SINGLE class. Just copy paste into a class, and start using it!
Matrix Multiplications via MapReduce: realized by using Hadoop in Java
This project uses the gRPC (Remote Procedure Call) framework for scaled square matrix multiplication. Through a REST API, the client sends a file with two matrices and a deadline parameter in seconds. A server middleware calculates the footprint and the number of servers needed for the matrix multiplication. It then distributes the multiplicatio…
Simple determinant calculator that can read an input matrix via file (as well as a solution determinant) and compute the determinant of said matrix (if possible).
A Java program that implements the product between matrices using threads. An assignment from OS teaching @unipv.
Professor Everton Cavalcante's class of Concurrent Programming. Supplementary semester of 2020.5 at IMD/UFRN.
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