Modern computing relies on massive parallelism, where thousands of operations execute simultaneously across diverse hardware platforms. OpenCL (Open Computing Language) enables high-performance computing by providing a unified framework for programming CPUs, GPUs, and FPGAs. This course introduces you to the fundamentals of OpenCL programming, from setting up the development environment to writing and optimizing parallel computing applications. Through hands-on exercises and real-world case studies, you will gain the expertise to develop scalable, high-performance applications that leverage the power of heterogeneous.



Empfohlene Erfahrung
Was Sie lernen werden
Analyse the structure and functionality of OpenCL programs to design effective solutions for parallel computing tasks.
Create optimized kernels using advanced OpenCL techniques for efficient execution across various GPU architectures.
Apply memory management strategies in OpenCL to enhance data throughput and reduce latency in high-performance computing.
Optimize OpenCL performance using profiling tools and parallel computing principles to develop scalable multi-GPU applications.
Wichtige Details

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März 2025
1 Aufgabe
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In diesem Kurs gibt es 1 Modul
In this course, you’ll dive into OpenCL, the industry-standard framework for parallel computing across CPUs, GPUs, and FPGAs. You’ll learn to develop high-performance applications, optimize kernels, manage memory efficiently, and scale computations across multiple devices. Through hands-on coding exercises and real-world case studies, you’ll gain the skills to harness OpenCL for AI, scientific simulations, and high-performance computing.
Das ist alles enthalten
14 Videos9 Lektüren1 Aufgabe1 peer review4 Diskussionsthemen
Empfohlen, wenn Sie sich für Software Development interessieren
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