Parallel Computing: Design and Analysis of Algorithms
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Parallel computing, a critical area of computer science and technology, involves performing multiple computations and calculations concurrently. It includes numerous subfields: for example, task parallelism, bit-level parallelism, data parallelism, and instruction-level parallelism. Today, parallel computing is widely applied in areas such as sequence analysis, mathematical finance, protein folding, and more. This book outlines the processes and applications of parallel computing in detail. Some of the diverse topics covered herein address the varied branches that fall under this category. Thi...
Parallel computing, a critical area of computer science and technology, involves performing multiple computations and calculations concurrently. It includes numerous subfields: for example, task parallelism, bit-level parallelism, data parallelism, and instruction-level parallelism. Today, parallel computing is widely applied in areas such as sequence analysis, mathematical finance, protein folding, and more. This book outlines the processes and applications of parallel computing in detail. Some of the diverse topics covered herein address the varied branches that fall under this category. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels.
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