Student Work(Project)| DV1567: Blurring & Thresholding in Cybersecurity | C++ Image Processing Video

Student | Client Work(Project )|DV1567 Project 1:How to Optimize Code Performance Using gprof & Valgrind Output Video 2024 | Blekinge Institute of Technology

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🚀 Performance Optimization in Cybersecurity - DV1567 Project 1 | Blekinge Institute of Technology

In this project, we focus on optimizing an image transformation application using C++ and Linux tools. The main tasks involve:
🔹 Implementing blurring & thresholding filters for .ppm images
🔹 Using gprof & Valgrind for performance profiling
🔹 Applying loop unrolling, OpenMP, compiler flags (-O3), and vectorization to optimize execution speed
🔹 Analyzing CPU, memory, and branch prediction efficiency for better performance

📌 Key Techniques Used:
✔️ Branch Prediction Optimization (Improving conditional branch execution)
✔️ Loop Unrolling & Loop Fusion (Reducing loop overhead)
✔️ OpenMP Parallelization (Utilizing multi-threading)
✔️ Vectorization & SIMD (Accelerating image transformations)
✔️ System Profiling (Analyzing code execution using gprof & perf)

💡 Watch this video to learn real-world cybersecurity performance optimization! 💻🔥

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