Computer Architecture. A Quantitative Approach
6th edition
Par : , Formats :
- PrésentationBroché
- Poids1.893 kg
- Dimensions19,5 cm × 23,6 cm × 5,3 cm
- ISBN978-0-12-811905-1
- EAN9780128119051
- Date de parution01/12/2017
- ÉditeurMorgan Kaufmann
Résumé
Computer Architecture : A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students, and practitioners of computer design for nearly 30 years. The sixth edition of this classic textbook is fully revised with the latest developments in processor and system architecture. It now features examples from the RISC-V ("RISC Five") instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard.
It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.
Features. Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling. Features the introduction of four DSAs from industry : Google Tensor Processing Unit, Google Pixel Visual Core, Intel Nervana Neural Network Processor, and Microsoft Catapult. Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC.
Offers updates to other chapters including new material dealing with the use of stacked DRAM ; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU ; and extensive additions to content covering multicore architecture and organization.
It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.
Features. Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling. Features the introduction of four DSAs from industry : Google Tensor Processing Unit, Google Pixel Visual Core, Intel Nervana Neural Network Processor, and Microsoft Catapult. Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC.
Offers updates to other chapters including new material dealing with the use of stacked DRAM ; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU ; and extensive additions to content covering multicore architecture and organization.
Computer Architecture : A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students, and practitioners of computer design for nearly 30 years. The sixth edition of this classic textbook is fully revised with the latest developments in processor and system architecture. It now features examples from the RISC-V ("RISC Five") instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard.
It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.
Features. Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling. Features the introduction of four DSAs from industry : Google Tensor Processing Unit, Google Pixel Visual Core, Intel Nervana Neural Network Processor, and Microsoft Catapult. Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC.
Offers updates to other chapters including new material dealing with the use of stacked DRAM ; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU ; and extensive additions to content covering multicore architecture and organization.
It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.
Features. Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling. Features the introduction of four DSAs from industry : Google Tensor Processing Unit, Google Pixel Visual Core, Intel Nervana Neural Network Processor, and Microsoft Catapult. Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC.
Offers updates to other chapters including new material dealing with the use of stacked DRAM ; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU ; and extensive additions to content covering multicore architecture and organization.
