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.

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Ce que vous apprendrez
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.
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Il y a un module dans ce cours
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.
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14 vidéos9 lectures1 devoir1 évaluation par les pairs4 sujets de discussion
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Recommandé si vous êtes intéressé(e) par Software Development
Dartmouth College
Johns Hopkins University
Dartmouth College
Johns Hopkins University
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