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  • pdf文档 Performance Engineering: Being Friendly to Your Hardware

    Performance Engineering A gentle introduction to hardware for software engineers 2Where does C++ run? 3On an abstract C++ machine 4On an abstract C++ machine? 5C++ runs on a computer platform 6Computer 6Computer platform 7 Processor Memory IO InterconnectComputer platform Processor + Interconnect + Memory 8Computer platform Processor + Interconnect + Memory 9Computer platform Processor + Interconnect Interconnect + Memory 10Computer platform Processor + Interconnect + Memory 11Computer platform Processor + Interconnect + Memory 12Computer platform Processor + Interconnect + Memory 13Computer
    0 码力 | 111 页 | 2.23 MB | 5 月前
    3
  • pdf文档 Google 《Prompt Engineering v7》

    Prompt Engineering Author: Lee Boonstra Prompt Engineering February 2025 2 Acknowledgements Content contributors Michael Sherman Yuan Cao Erick Armbrust Anant Nawalgaria Antonio Gulli Simone Cammel Grace Mollison Technical Writer Joey Haymaker Designer Michael Lanning Introduction 6 Prompt engineering 7 LLM output configuration 8 Output length 8 Sampling controls 9 Temperature 9 Top-K and top-P 29 Self-consistency 32 Tree of Thoughts (ToT) 36 ReAct (reason & act) 37 Automatic Prompt Engineering 40 Code prompting 42 Prompts for writing code 42 Prompts for explaining code 44 Prompts for
    0 码力 | 68 页 | 6.50 MB | 6 月前
    3
  • ppt文档 No Silver Bullet – Essence and Accident in Software Engineering

    No Silver Bullet – Essence and Accident in Software Engineering Mike Ballou“There is no single development, in either technology or management technique, which by itself promises even one order-of- published The Mythical Man-Month: Essays on Software Engineering • In 1987, authored No Silver Bullet – Essence and Accident in Software Engineering“We hear desperate cries for a silver bullet – something them I need…” • to Containerize the software, but to run that I need… • a Container Management Platform, but to network it I need… • a Service Mesh, but to secure it I need… • an automated Certificate
    0 码力 | 35 页 | 1.43 MB | 5 月前
    3
  • pdf文档 CROSS PLATFORM PITFALLS AND HOW TO AVOID THEM

    CROSS-PLATFORM PITFALLS AND HOW TO AVOID THEM Erika Sweet (she/her) Microsoft C++ TeamWelcome to CppCon 2020! Visit our table at the Expo Hall https://aka.ms/cppcon/expo • Meet the Microsoft C++ Abdicating responsibility to CMake Reimplementing functionality that CMake has built-in to abstract platform and compiler specificsUse built-in CMake command line tools…. execute_process(COMMAND ${CMAKE_COMMAND} rget PUBLIC cxx_std_11) …instead of manually setting flags via CMAKE_CXX_FLAGSKeep your paths platform independent…. target_include_directories(myTarget PUBLIC $
    0 码力 | 67 页 | 360.44 KB | 5 月前
    3
  • pdf文档 Cross-Platform Floating-Point Determinism Out of the Box

    of) 2 3Why FP Determinism is Important?_ CppCon 2024 sixit:: 5 ✅ Same Executable Cross Platform Different Contexts ❌ ❌ 1 (Sort of) 2 3 General Sanity, Testability Distributed Simulations using the identically compiled files and run on systems that adhere to the IEEE standards. Cross platform synchronized network simulations or replays will not possible [sic].” - Most upvoted answer on
    0 码力 | 31 页 | 3.88 MB | 5 月前
    3
  • pdf文档 High-Performance Cross-Platform Architecture: C++20 Innovations

    career in video games and embedded software • Started using C++ in 1995 • First cross-platform project in 1994Cross-Platform Architecture Goals • Take advantage of all platforms • Focus on the compiler • Minimize classes, an illustrative example from a larger project • Project build issues • Inclusion of platform-specific header files • Concept hierarchies • Class and Function DesignOCP: The Open–Closed Principle Adding new revisions to a feature has no effect on previously-implemented revisions.What is a Platform? • A specific set of features • A feature is an abstract unit of functionality requiring implementations
    0 码力 | 75 页 | 581.83 KB | 5 月前
    3
  • pdf文档 MITRE Defense Agile Acquisition Guide - Mar 2014

    approach, program managers need to work with stakeholders representing the requirements, systems engineering, contracting, cost estimating, and testing communities to design processes around short releases It presents options for structuring a program, developing a contract strategy, shaping systems engineering processes, managing requirements, and developing cost estimates for programs with a dynamic scope ............................................................................. 20 9 Systems Engineering ..............................................................................................
    0 码力 | 74 页 | 3.57 MB | 5 月前
    3
  • pdf文档 Trends Artificial Intelligence

    ChatGPT hit the world stage all at once, growing in most global regions simultaneously. Meanwhile, platform incumbents and emerging challengers are racing to build and deploy the next layers of AI infrastructure: Stanford University… 1: AI ‘Winter’ was a term used by Nils J. Nilsson, the Kumagai Professor of Engineering in computer science at Stanford University, to describe the period during which AI continued to zero users in 2/24. Source: Yum!, ‘Introducing Byte by Yum! , an AI-driven restaurant technology platform powering customer and team member experiences worldwide’(2/25) Yum! Brands Byte by Yum! – 2/24-2/25
    0 码力 | 340 页 | 12.14 MB | 4 月前
    3
  • pdf文档 Cetting Started with C++

    tools… Without using your credit card… In less than 15 minutes?01 Obtaining tools for your platform 02 03 04 Code reuse through libraries Building correct, secure, and safe systems Planning Planning for the future Agenda Resources for learning modern C++ 0501 Obtaining tools for your platform 02 03 04 Code reuse through libraries Building correct, secure, and safe systems Planning Resources for learning modern C++ 05Tools for your platform Build & project systems Editors & IDEs Compiler toolchainsTools for your platform Build & project systems Editors & IDEs Compiler
    0 码力 | 95 页 | 4.71 MB | 5 月前
    3
  • pdf文档 Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI

    and consume unprecedented volumes of data across a growing number of sources and formats, data engineering and architecture teams must design systems that not only scale but also deliver real-time access availability to ensure data integrity, privacy, and governance. To overcome these challenges, data engineering and architecture teams must rethink traditional data infrastructures. The future lies in Real-Time resilience as business needs evolve. By unifying diverse data workloads into a single, scalable platform, a Real-Time UDL helps businesses increase efficiency, enhance decision-making, and power AI-driven
    0 码力 | 10 页 | 2.82 MB | 5 月前
    3
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