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Inicio 4 June 2026 08:26
Fin 4 June 2026
GPU Programming for Scientific Computing and Beyond
157 Cursos
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Resumen
Learn the art of GPU programming for scientific computing and more in this comprehensive five-week course by the Partnership for Advanced Computing in Europe (PRACE), offered through FutureLeam. Dive into the nuances of optimizing graphics processing units (GPUs) to enhance high-performance computing (HPC).
GPUs, ideal for executing multiple operations in parallel, break down large computational problems into simpler tasks that can be simultaneously processed, drastically improving performance.
This course empowers attendees like scientific developers and other end users to master parallel programming of GPUs for maximum efficiency. You'll explore the facets of achieving accelerated parallel programming which leads to enhanced performance in scientific computing, engineering simulations, artificial intelligence applications, and even complex video game running.
Beyond basic programming, you'll gain in-depth understanding of GPU architecture, programming languages, code optimization, and tuning.
Whether you're involved in scientific research, artificial intelligence, or an end-user interested in demanding applications, these skills will propel your projects to new heights of efficiency and speed.
With a focus on general-purpose graphics processing unit (GPGPU) programming, this course by PRACE, a leader in fostering high-impact scientific and engineering discovery across Europe, provides all the necessary tools to boost your GPGPU programming proficiency. Join a team of world-class experts and accelerate your journey in the realm of GPU programming.
Key topics include scientific and engineering computations, matrix and vector solutions for AI, and optimal performance in end-user applications.
Embark on this educational adventure to revolutionize how you approach GPU programming for scientific computing and beyond.
Register now to transform your GPGPU programming skills with FutureLearn’s expertly designed course, essential for anyone from researchers to gamers seeking to harness the powerful capabilities of GPUs.
Impartido por
Ezhilmathi Krishnasamy
