CUDA Performance & Optimization For Beginners (Paperback)

Idioma: inglés

Editorial: Independently Published, 2026

9798171913724

Serie: Libro 2 de 2 - CUDA Programming Series

  • Tapa blanda
  • Nuevo
Ver todos los detalles

Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

Tapa blanda

Condición: Nuevo

EUR 24,21

 Gastos de envío gratis 
Se envía dentro de Estados Unidos de America

Cantidad disponible: 1 disponible

Añadir al carrito
Devoluciones gratuitas de 30 días

Descripción del artículo del vendedor

Paperback. Writing a CUDA program that works is only the beginning. Getting that program to use the GPU efficiently requires a different set of skills: measuring performance, identifying bottlenecks, understanding memory behavior, analyzing kernel execution, and making optimization decisions based on evidence rather than assumptions.CUDA Performance & Optimization For Beginners provides a practical introduction to the principles and techniques used to analyze and improve CUDA application performance.Building on fundamental CUDA programming concepts, the book introduces a systematic approach to performance optimization. You will learn how to measure GPU workloads, interpret profiling information, identify common performance bottlenecks, understand memory behavior, improve kernel execution, and evaluate whether an optimization actually produces meaningful results.You will explore how to: Understand the fundamentals of CUDA performanceMeasure and establish meaningful performance baselinesProfile CUDA applications and investigate bottlenecksAnalyze kernel execution and GPU utilizationUnderstand memory-access behavior and its effect on performanceImprove global, shared, and other forms of GPU memory usageReduce unnecessary data movement between CPU and GPUImprove kernel organization and execution efficiencyUnderstand occupancy and resource utilizationIdentify common causes of CUDA performance problemsBenchmark and validate optimization changesDevelop a repeatable approach to CUDA performance tuningRather than presenting optimization as a collection of isolated tricks, this book emphasizes a disciplined process: measure, analyze, optimize, and verify. This approach helps readers understand why a workload is slow and determine which changes are most likely to improve it.Whether you are learning CUDA optimization for the first time, improving existing GPU applications, or developing a stronger understanding of GPU performance engineering, this book provides a practical foundation for making CUDA workloads more efficient.Learn how to stop guessing about GPU performance-and start optimizing based on evidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9798171913724

Título
CUDA Performance & Optimization For Beginners (Paperback)
Autor
Alvin Marsh
Editorial
Independently Published
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798171913724
Serie
Libro 2 de 2: CUDA Programming Series

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

Tarifas de envío en Estados Unidos de America

ArtículoDe 6 a 14 días hábilesDe 6 a 16 días hábiles
Primer artículoEUR 0,00EUR 0,00
Los plazos de entrega los establecen los vendedores y varían según el transportista y la ubicación. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relación con cargos adicionales para cubrir cualquier aumento en los costes de envío de los artículos.

Métodos de pago

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Información empresarial del vendedor

APOLLO ONLINE CORP.

605 Geddes Street
Wilmington, DE Estados Unidos de America 19805