SKU/Artículo: AMZ-B0DVL32V82

Introduction to PTX Programming: With Full Parallel Thread Execution Assembly Code Samples (Mastering Machine Learning)

Disponibilidad:
En stock

Peso con empaque:
0.85 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

Comprehensive, hands-on tutorials spanning 44 meticulously crafted chapters, from foundational vector operations to cutting-edge machine learning, cryptography, and beyond.
Full PTX assembly code samples that reveal the inner workings of GPU parallelism, empowering you to optimize matrix multiplications, graph traversals, neural networks, and more.
Real-world applications across industries: accelerate AI model training, simulate astrophysical phenomena, process medical imaging data, optimize financial models, and render photorealistic graphics—all with industry-grade techniques.
Proven strategies for mastering memory coalescing, thread synchronization, atomic operations, and algorithm design tailored to GPU architectures.
Learn by doing: Every concept is paired with battle-tested assembly examples, ensuring you grasp both theory and implementation.
Future-proof your skills: From sparse matrix computations to wavelet transforms and Monte Carlo simulations, tackle tomorrow’s challenges with confidence.
Bridge the gap between theory and practice: Whether you’re a student, hobbyist, or seasoned professional, the clear explanations and progressive complexity make this the ultimate PTX resource.
GPU programmers seeking to transcend CUDA abstractions and wield PTX directly.
Data scientists needing to accelerate clustering, classification, or deep learning workflows.
Game developers optimizing rendering pipelines or physics engines.
Researchers in computational biology, quantum simulation, or big data analytics.