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Introduction to Parallel and Distributed Computing Exercise 1 (April 16) Wolfgang Schreiner Wolfgang. Schreiner RISC.SKU.at The result is to be submitted by the deadline stated above via the Moodle
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Start by providing a brief overview of parallel computing and its significance in the modern world.
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Explain the basics of parallel computing, including parallel algorithms, parallel architectures, and parallel programming models.
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Discuss the advantages and challenges of parallel computing, highlighting its ability to solve complex problems more efficiently but also the need for careful design and synchronization.
04
Introduce the concept of parallel and distributed systems, exploring the differences and similarities between them.
05
Explore the various applications of parallel computing in different fields such as scientific simulations, big data processing, and artificial intelligence.
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Provide examples of parallel computing technologies and frameworks that are commonly used, such as CUDA, OpenMP, and MPI.
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Discuss the future prospects of parallel computing and how it is expected to evolve in the coming years.
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Anyone with a curiosity about how parallel computing works and its impact on various industries.
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