This book covers essential topics such as memory management, thread hierarchy, kernel functions, debugging, and profiling, ensuring a strong foundation in CUDA programming. Additionally, it explores advanced CUDA features and their applications in various domains, from high-performance computing to machine learning and scientific simulations. With clear instructions, structured learning paths, and practical case studies, "CUDA Programming in C: From Basics to Expert Proficiency" is an indispensable resource for developers seeking to unlock the full potential of their GPU hardware and create high-performance, efficient software solutions.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.