Isbn: 9798183777802 - cuda programming in 21 days: a hands-on course in c++ and python (learn in 21 days) (6 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - CUDA Programming in 21 DaysA Hands-On Course in C++ and Python>================================================================Go from 'what even is a GPU ' to writing, debugging, and tuningyour own CUDA kernels - in three focused weeks.>Most GPU books are either a wall of reference material or a thinlayer of copy-paste recipes. This one is a course. Each day is asingle sitting that builds on the last, teaches one ideaproperly, and ends with a workshop so the knowledge lands in your>You write REAL CUDA C++ that compiles with nvcc, and you see thePython equivalent (CuPy and Numba) alongside every step, so youcan run and experiment even before your C++ is fluent. Every>WHAT YOU GET- 21 chapters (3 weeks x 7 days), 1.2 million words of careful, worked teaching - no filler.- 229 figures, diagrams, and plots, every one generated from areal computation or a clean schematic.- Hundreds of runnable listings in CUDA C++, CuPy, and Numba.>THE THREE WEEKSWeek 1 - Get onto the GPU: why GPUs win, the toolkit, yourfirst kernel, thread indexing, moving data, and debugging.Week 2 - Make it fast: the memory hierarchy, coalescing, shared memory and tiling, synchronization, warps anddivergence, occupancy, and honest profiling with a roofline.Week 3 - Patterns, libraries, and a real project: reduction, atomics, scan, streams and overlap, Thrust/cuBLAS/cuFFT/CuPy, >WHO IT'S FORYou know a little C or C++ and a little Python. You do NOT needany GPU experience. You do not even need an expensive GPU - anyrecent NVIDIA card works, and Day 2 shows you how to run every>BY DAY 21 YOU CAN- decide whether a problem suits a GPU, and why;- write, launch, and debug your own kernels;- lay out memory and choose a launch configuration for speed;- use reductions, scans, atomics, and streams with confidence;- reach for the right library - and verify its result;>The GPU stops being a black box. Go build something that neededall those threads.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. CUDA Programming in 21 DaysA Hands-On Course in C++ and Pythonby M. Saqib ================================================================Go from "what even is a GPU?" to writing, debugging, and tuningyour own CUDA kernels - in three focused weeks.================================================================ Most GPU books are either a wall of reference material or a thinlayer of copy-paste recipes. This one is a course. Each day is asingle sitting that builds on the last, teaches one ideaproperly, and ends with a workshop so the knowledge lands in yourhands - not just your eyes. You write REAL CUDA C++ that compiles with nvcc, and you see thePython equivalent (CuPy and Numba) alongside every step, so youcan run and experiment even before your C++ is fluent. Everyspeedup in the book is one you measure yourself. WHAT YOU GET- 21 chapters (3 weeks x 7 days), 1.2 million words of careful, worked teaching - no filler.- 229 figures, diagrams, and plots, every one generated from areal computation or a clean schematic.- Hundreds of runnable listings in CUDA C++, CuPy, and Numba.- Four formats in one purchase: PDF, EPUB, MOBI, and HTML. THE THREE WEEKSWeek 1 - Get onto the GPU: why GPUs win, the toolkit, yourfirst kernel, thread indexing, moving data, and debugging.Week 2 - Make it fast: the memory hierarchy, coalescing, shared memory and tiling, synchronization, warps anddivergence, occupancy, and honest profiling with a roofline.Week 3 - Patterns, libraries, and a real project: reduction, atomics, scan, streams and overlap, Thrust/cuBLAS/cuFFT/CuPy, and a complete, profiled image-convolution application. WHO IT'S FORYou know a little C or C++ and a little Python. You do NOT needany GPU experience. You do not even need an expensive GPU - anyrecent NVIDIA card works, and Day 2 shows you how to run everyexample for free in the cloud if you have none. BY DAY 21 YOU CAN- decide whether a problem suits a GPU, and why;- write, launch, and debug your own kernels;- lay out memory and choose a launch configuration for speed;- use reductions, scans, atomics, and streams with confidence;- reach for the right library - and verify its result;- build and profile a real GPU application end to end. The GPU stops being a black box. Go build something that neededall those threads. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. CUDA Programming in 21 DaysA Hands-On Course in C++ and Pythonby M. Saqib ================================================================Go from "what even is a GPU?" to writing, debugging, and tuningyour own CUDA kernels - in three focused weeks.================================================================ Most GPU books are either a wall of reference material or a thinlayer of copy-paste recipes. This one is a course. Each day is asingle sitting that builds on the last, teaches one ideaproperly, and ends with a workshop so the knowledge lands in yourhands - not just your eyes. You write REAL CUDA C++ that compiles with nvcc, and you see thePython equivalent (CuPy and Numba) alongside every step, so youcan run and experiment even before your C++ is fluent. Everyspeedup in the book is one you measure yourself. WHAT YOU GET- 21 chapters (3 weeks x 7 days), 1.2 million words of careful, worked teaching - no filler.- 229 figures, diagrams, and plots, every one generated from areal computation or a clean schematic.- Hundreds of runnable listings in CUDA C++, CuPy, and Numba.- Four formats in one purchase: PDF, EPUB, MOBI, and HTML. THE THREE WEEKSWeek 1 - Get onto the GPU: why GPUs win, the toolkit, yourfirst kernel, thread indexing, moving data, and debugging.Week 2 - Make it fast: the memory hierarchy, coalescing, shared memory and tiling, synchronization, warps anddivergence, occupancy, and honest profiling with a roofline.Week 3 - Patterns, libraries, and a real project: reduction, atomics, scan, streams and overlap, Thrust/cuBLAS/cuFFT/CuPy, and a complete, profiled image-convolution application. WHO IT'S FORYou know a little C or C++ and a little Python. You do NOT needany GPU experience. You do not even need an expensive GPU - anyrecent NVIDIA card works, and Day 2 shows you how to run everyexample for free in the cloud if you have none. BY DAY 21 YOU CAN- decide whether a problem suits a GPU, and why;- write, launch, and debug your own kernels;- lay out memory and choose a launch configuration for speed;- use reductions, scans, atomics, and streams with confidence;- reach for the right library - and verify its result;- build and profile a real GPU application end to end. The GPU stops being a black box. Go build something that neededall those threads. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…