Lab0 — Introduction
Introduction and basic setup for the laboratory work and introduction to NumPy and SciPy functions
Open PDFSignal and Image Processing with optimized NumPy and SciPy libraries
This page provides direct access to all laboratory sessions in PDF format. Each lab focuses on Python programming with NumPy and SciPy optimization, vector processing (SIMD), multi-core processing (MIMD)) and performance analysis on modern RISC-V systems with RVV extensions.
Laboratory Sessions (PDF)
Lab1 — Vector and Matrix Processing
SIMD - Basic vector programming and processing using optimized NumPy libraries.
Open PDFLab2 — Simple Signal Processing
Simple Signal Processing with vector instructions.
Open PDFLab3 — Simple Image Processing with vector instructions
Simple image filtering examples using Python and NumPy.
Open PDFLab4 — MIMD - Multicore and vector processing
MIMD (+SIMD) processing, vector and multicore processing.
Open PDFLab5 — Final Laboratory
Image processing (filtering) with multiprocessing and vector instructions
Open PDF