This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation.
This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.
What You'll Learn
Who Is This Book For
Beginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals.
"Sinopsis" puede pertenecer a otra edición de este libro.
Ananya Pareek is a senior Engineer specializing in computer system performance modeling and architecture. With well over a decade of industry experience spanning well known firms such as Google, Apple, Samsung, and AMD, he brings exceptional expertise in cycle accurate simulation and performance analysis across diverse computing domains. Over the years he has worked on multiple well known products, developing cutting edge simulation techniques and frameworks spanning Full System, CPU, GPU, etc.
He has also delivered lectures and talks on Hardware Performance with an audience spanning new undergrade students to experienced academics.
This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation.
This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.You will:
- Master performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.
- Refresh core computer architecture concepts essential for accurate modeling.
- Apply best practices to real-world scenarios and start contributing with confidence.
- Build hands-on skills through exercises using widely adopted simulation frameworks.
- Adapt modeling techniques to new hardware and emerging technologies.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798868824753
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9798868824753
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de America
Paperback. Condición: New. This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. Nº de ref. del artículo: LU-9798868824753
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Paperback. Condición: New. This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. Nº de ref. del artículo: LU-9798868824753
Cantidad disponible: Más de 20 disponibles
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. Neuware -This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation.This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies.Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. 379 pp. Englisch. Nº de ref. del artículo: 9798868824753
Cantidad disponible: 2 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation.This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies.Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. 379 pp. Englisch. Nº de ref. del artículo: 9798868824753
Cantidad disponible: 2 disponibles
Librería: Wegmann1855, Zwiesel, Alemania
Taschenbuch. Condición: Neu. Neuware -This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll Learn- Master performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.- Refresh core computer architecture concepts essential for accurate modeling.- Apply best practices to real-world scenarios and start contributing with confidence.- Build hands-on skills through exercises using widely adopted simulation frameworks.- Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. Nº de ref. del artículo: 9798868824753
Cantidad disponible: 2 disponibles
Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de America
Paperback. Condición: New. This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. Nº de ref. del artículo: LU-9798868824753
Cantidad disponible: Más de 20 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nº de ref. del artículo: 2814734053
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. This book addresses the gap between performance modeling theory and practice by providing a systematic approach for learning and applying performance modeling relevant principles. It covers essential hardware systems including CPUs, GPUs, accelerators, and memory systems. For each system category, a three-pronged approach is employed: teaching the theoretical background succinctly, presenting modeling methodologies and detailed microarchitectural (cycle-accurate or other) techniques, and providing hands-on implementation guidance using freely available open source simulation frameworks. Furthermore, exercises reinforce learning through combined theoretical analysis and practical implementation. This comprehensive approach offers multiple advantages. It provides thorough coverage of diverse systems, enabling professionals to build expertise without depending on specific job opportunities for learning. It allows students and new professionals to explore multiple areas before specializing with greater confidence. Finally, it serves as a practical reference for quick refreshers and skill development throughout one's career progression.What You'll LearnMaster performance modeling of CPUs, GPUs, accelerators, and memory systems using top open-source tools.Refresh core computer architecture concepts essential for accurate modeling.Apply best practices to real-world scenarios and start contributing with confidence.Build hands-on skills through exercises using widely adopted simulation frameworks.Adapt modeling techniques to new hardware and emerging technologies. Who Is This Book ForBeginner to Intermediate for learning and as a refresher for advanced users. Students and new professionals. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798868824753
Cantidad disponible: 1 disponibles