Summary
In this chapter, we examined the concepts and principles of large-scale and parallel algorithm design. The pivotal role of parallel computing was analyzed, with particular emphasis on its capacity to effectively distribute computational tasks across multiple processing units. The extraordinary capabilities of GPUs were studied in detail, illustrating their utility in executing numerous threads concurrently. Moreover, we discussed distributed computing platforms, specifically Apache Spark and cloud computing environments. Their importance in facilitating the development and deployment of large-scale algorithms was underscored, providing a robust, scalable, and cost-effective infrastructure for high-performance computations.
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