https://github.com/marcramonmoreno/historian_app

Historian Data Tool - A secure internal web application for processing and visualizing historical data, built with React frontend and Flask backend. Features include data processing with configurable time ranges, tag configuration management, and CSV export capabilities. Access requires Tailscale VPN connection and proper permissions.

csv-export data-processing data-visualization docker docker-compose flask historian python react web-application

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/historian-etl

ETL pipeline for historian data with automated SFTP transfer and SQL Server integration

data-engineering docker docker-compose etl-pipeline mssql-database python sftp-client

Last synced: 30 Mar 2025

https://github.com/marcramonmoreno/cuda_spmv_csr

CUDA parallelized Sparse Matrix-Vector Multiplication algorithm using Compressed Sparse Row representation

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/radix_sort

CUDA Accelerated Bit Assorting application given an array of values

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/matrix_multiplication_dgemm

Double-precision General Matrix Multiply algorithm

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/pycuda_pearson_correlation_function

Pearson Correlation Function Accelerated with PyCuda

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/cuda-saxpy-kernel

CUDA parallelized SAXPY kernel defined by the BLAS (Basic Lineal Algebra Subroutine)

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/cuda_vector_addition

Last synced: 06 Apr 2025

https://github.com/marcramonmoreno/master-thesis-

Master Thesis Softmatter group ICMAB

Last synced: 06 Apr 2025