Computer Architecture ,A Quantitative Approach

Computer Architecture ,A Quantitative Approach पीडीएफ

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जॉन लेरॉय हेनेसी (जन्म 22 सितंबर, 1952) एक अमेरिकी कंप्यूटर वैज्ञानिक, शिक्षाविद और व्यवसायी हैं, जो अल्फाबेट इंक के अध्यक्ष के रूप में कार्य करते हैं। हेनेसी MIPS कंप्यूटर सिस्टम्स इंक के साथ-साथ एथरोस के संस्थापकों में से एक हैं और उन्होंने दसवें राष्ट्रपति के रूप में कार्य किया। स्टैनफोर्ड विश्वविद्यालय। हेनेसी ने घोषणा की कि वह 2016 की गर्मियों में पद छोड़ देंगे। उन्हें मार्क टेसियर-लविग्ने द्वारा राष्ट्रपति के रूप में सफल बनाया गया था। मार्क आंद्रेसेन ने उन्हें "सिलिकॉन वैली का गॉडफादर" कहा।

डेविड पैटरसन के साथ, हेनेसी को कम इंस्ट्रक्शन सेट कंप्यूटर (RISC) आर्किटेक्चर विकसित करने में उनके काम के लिए 2017 ट्यूरिंग अवार्ड का प्राप्तकर्ता था, जो अब 99% नए कंप्यूटर चिप्स में उपयोग किया जाता है।

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Computer Architecture ,A Quantitative Approach पीडीएफ जॉन लेरॉय हेनेसी

Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 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.

  • 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 first publication of several DSAs from industry
  • 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
  • Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter
  • Includes review appendices in the printed text and additional reference appendices available online
  • Includes updated and improved case studies and exercises

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