人工智慧 / CUDA
相關書籍
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Programming Massively Parallel Processors: A Hands-On Approach, 5/e (Paperback)$3,250$3,185 -
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Deep Learning with C++: Design and deploy neural networks using CUDA for high-performance AI in C++$1,840$1,748 -
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Mastering CUDA 13 with Python: GPU Programming, AI Acceleration, and High-Performance Computing with PyTorch, CuPy, Numba, and cuda.core$1,430$1,358 -
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GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning$1,840$1,748 -
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Deep Learning in Genome Mapping: Computation and Analysis$6,500$6,175 -
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Ray Tracing in Cuda and Dxr: An Introduction$1,960$1,862 -
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AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch (Paperback)$3,325$3,150 -
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GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications (Paperback)$1,690$1,605 -
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Extreme-Scale Computing: A Practical Introduction with C++$3,000$2,850 -
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ROCm Deep Dive$1,630$1,548 -
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Cuda C++ Debugging: Accelerate, Optimize, and Debug GPU Applications$730$693 -
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Accelerated Computing With HIP: Second Edition$1,810$1,719 -
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Advanced CUDA C++ Algorithms for Semiconductor Engineering$1,950$1,852 -
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Advanced CUDA Techniques: Optimizing C++ Applications for Maximum Performance$1,700$1,615 -
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High Performance Computing: Modern Systems and Practices (Paperback)$3,150$2,992 -
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Image Processing and Computer Vision Algorithms With CUDA$1,630$1,548 -
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CUDA Programming from Basics to Advanced$1,300$1,235 -
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Learning PyTorch 2.0, Second Edition: Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and deep learning models$2,600$2,470 -
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CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming$4,500$4,275 -
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Programming Heterogeneous Hardware Via Managed Runtime Systems$2,620$2,489 -
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Programming Your GPU with OpenMP: Performance Portability for GPUs (Paperback)$2,800$2,660 -
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Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Da$1,800$1,710 -
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Accelerated Computing with HIP$1,510$1,434 -
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Programming Massively Parallel Processors: A Hands-On Approach, 4/e (Paperback)$3,250$3,087 -
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Programming in Parallel with CUDA : A Practical Guide New (Hardcover)$2,680$2,546 -
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Multicore and GPU Programming: An Integrated Approach, 2/e (美國原版)$4,180$3,971 -
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Parallel and High Performance Computing (Paperback)$2,450$2,327 -
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Parallel Computing for Data Science: With Examples in R, C++ and Cuda$2,490$2,365 -
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Parallel Processing, 1980 to 2020$2,450$2,327