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Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time.
Jun 4, 2021 · Learn the basics of parallel computing, its advantages, types, applications, limitations and future. Compare and contrast parallel and serial computing with examples and real-life scenarios.
Learn what parallel computing is, how it works, and why it is useful for various applications. Explore the different classes of parallel computers, such as multi-core, cluster, and grid, and the techniques to achieve parallelization in software engineering.
Learn the basics of parallel computing, concepts and terminology, memory architectures, programming models, and design issues. See examples of how to parallelize simple problems and references for further study.
Learn the fundamentals of high-performance and parallel computing for scientists, engineers, and scholars. This course covers Linux, bash scripting, HPC architecture, parallel programming, and scaling analysis.
Learn how to improve the processing of instructions and data with parallel computing methods. Explore superscalar processors, vector processing, SIMD extension, and GPUs in this beginner-level course.
Learn the fundamentals and engineering trade-offs of parallel computing systems and programming techniques. Explore topics such as multicore, GPU, distributed, heterogeneous, and graph processing, as well as performance optimization and hardware specialization.
