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High-performance computing (HPC) covers books about the hardware, software and methods used to run large-scale, performance-critical computations on supercomputers, clusters and accelerated systems. Titles in this category explore parallel architectures (multicore CPUs, manycore GPUs, interconnects and storage), programming models and tools (MPI, OpenMP, CUDA, OpenCL, distributed frameworks), performance optimization and profiling, scalable algorithms and numerical methods, benchmarking, and system administration and deployment for scientific, engineering and data‑intensive applications. Works range from introductory primers and practical programming guides to advanced texts on performance engineering, algorithm design for exascale systems, and case studies in domains such as climate modeling, computational chemistry, bioinformatics and machine learning. These books are aimed at researchers, computational scientists, software engineers and system administrators who need to design, tune or operate compute-intensive applications and infrastructure.

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