Course Schedule
Veranstaltungen von Ahmed Mohamed Fathy Mohamed Ahme Elbossily
Lehrveranstaltungen
Introduction to GPU Programming (Seminar)
Dozent/in: Ahmed Mohamed Fathy Mohamed Ahme Elbossily
Termin:
wöchentlich | Mittwoch | 12:15 - 13:45 | 06.04.2026 - 10.07.2026 | C 12.001 Seminarraum
Inhalt: This course is designed to teach students how to leverage the power of Graphics Processing Units (GPUs) through parallel programming. Traditionally, programs utilize the CPU as the primary unit for execution. In this course, students will learn how to run programs on a GPU and observe the significant difference in processing speed. Initially, GPU cards were used exclusively for video rendering and gaming. However, with the advent of GPU programming, we can now make our programs run faster! C++ programming language will be used for creating GPU programs in this course. The first two modules will provide students with a strong foundation in C++ programming. Then, students will apply their C++ knowledge to work with CUDA and execute programs on a GPU. At the end of each module, there will be a project designed to reinforce the concepts learned by students. To ensure the course's generality, these projects will focus on image-processing tasks, such as image coloring and blurring. After all, who doesn’t enjoy working with images! Module 1: C++ Fundamentals Topics: * Basic syntax: data types, control flow, functions * Containers: `std::vector`, `std::map` * File I/O * Introduction to OpenCV for image load/display Project #1: Build a program for image converter: load a color image, convert to grayscale, save the result. ------------------------------------------------------------------------------------------- Module 2: Memory Management Topics: * Stack vs. heap memory model * Dynamic allocation: `new/delete` and `malloc/free` * Common pitfalls: Memory leaks Project #2: Extend Project #1 into a mini “Image Editor” that applies two operations—grayscale and Gaussian blur—with user-specified parameters. ------------------------------------------------------------------------------------------- Module 3: GPU Programming with CUDA Topics: * CUDA programming model: kernels, threads, blocks, grids * Host vs. device memory; data transfers * Simple reduction operations on GPU Project #3: Port your blurring operation to CUDA. Load the image on the host, copy it to device memory, launch a blur kernel, copy back, and save. Benchmark CPU vs. GPU runtimes. ------------------------------------------------------------------------------------------- Module 4: GPU Hardware & Optimization Topics: * GPU architecture deep dive: SMs, warps * Memory hierarchy: shared and global memory * Coalesced Memory accesses Project #4: Students will revisit the previous projects, applying the knowledge of GPU data communication to further accelerate program speed.
Ingenieurmathematik 2 - Übung C (Übung)
Dozent/in: Ahmed Mohamed Fathy Mohamed Ahme Elbossily
Termin:
14-täglich | Dienstag | 16:15 - 17:45 | 06.04.2026 - 10.07.2026 | C 12.010 Seminarraum
Introduction to C++ Programming Language for Mechanical Applications (Vorlesung)
Dozent/in: Ahmed Mohamed Fathy Mohamed Ahme Elbossily
Termin:
wöchentlich | Dienstag | 10:15 - 11:45 | 06.04.2026 - 10.07.2026 | C 12.002 Seminarraum
Inhalt: The course is structured into four modules: C++ Foundations, Object-Oriented Programming, Memory Management, and Multi-Threading. Additionally, there is a Capstone project at the end of the course that incorporates all the concepts learned. Through the course, you will develop mini-programs for solving mechanical problems.