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  • pdf文档 Security Beyond Memory Safety

    Perspective Security Beyond Memory Safety Using Modern C++ to Avoid Vulnerabilities by DesignMax Hoffmann Security Beyond Memory Safety CppCon 2024 2 Security Beyond Memory Safety Using Modern C++ to Security Beyond Memory Safety CppCon 2024 3 FIFTY SHADES OF SHOOTING YOURSELF IN THE FOOT WITH A RAILGUNMax Hoffmann Security Beyond Memory Safety CppCon 2024 4Max Hoffmann Security Beyond Memory Safety CppCon Security Beyond Memory Safety CppCon 2024 6Max Hoffmann Security Beyond Memory Safety CppCon 2024 7Max Hoffmann Security Beyond Memory Safety CppCon 2024 8Max Hoffmann Security Beyond Memory Safety CppCon
    0 码力 | 79 页 | 4.15 MB | 5 月前
    3
  • pdf文档 A Relaxed Guide to memory_order_relaxed

    A Relaxed Guide to memory_order_relaxed Hans Boehm Paul E. McKenney Google Facebook CPPCON 2020std::atomic/std::atomic_ref and memory_order_relaxed ● C++ atomic sacrificing the simple threads-as-interleaving semantics ● by passing memory_order enum values to explicit atomic operations. ● In particular, memory_order_relaxed allows arbitrary visibility reordering with respect About memory_order_relaxed? ● Just a load, just a store: Full control, excellent efficiency and scalability! ○ Assuming aligned machine-sized atomic objects, that is…What is Not to Like About memory_order_relaxed
    0 码力 | 32 页 | 278.53 KB | 5 月前
    3
  • pdf文档 Practical memory pool based allocators for Modern C++

    © 2019 Apex.AI, Inc. Safe and certified software for autonomous mobility TM Practical memory pool based allocators for Modern C++ by Misha Shalem misha.shalem@apex.ai © 2020 Apex.AI, Inc.● CppCon Andreas Pasternak ● Quote: “Memory pools and allocators are only one piece of the solution” Today we going to talk about this one piece in (more) depth © 2020 Apex.AI, Inc.Memory allocations in real-time practically for C++ memory allocations? We asked an independent 3rd party safety assessor and the answer was “It should comply to Autosar C++ 14 Coding Guidelines regarding memory allocations” © 2020
    0 码力 | 49 页 | 986.95 KB | 5 月前
    3
  • pdf文档 Object Introspection: A Revolutionary Memory Profiler for C++ Objects

    Bar std::string Bar std::string Bar std::stringObject Introspection (OI) Goals • Byte level memory footprint analysis for objects • Complete object type hierarchies • Dynamic allocations and containers hierarchy from a given root type • Understand the layout in memory of the entire hierarchy • Understand how to interpret data at memory offsets • Understand containers • Compiler generated debug Object Introspection Measurement Code Code GenerationApplied Example 1 • Unused container memory: Unused Sz = (C.capacity() - C.size()) * sizeof(element) Name TypeName Number ElemStatSz Length
    0 码力 | 62 页 | 2.24 MB | 5 月前
    3
  • pdf文档 C++ Memory Model: from C++11 to C++23

    Memory Model C++11 – C++23About Me: alex.dathskovsky@speedata.io www.linkedin.com/in/alexdathskovsky https://www.cppnext.comAlex Dathskovsky | alex.dathskovsky@speedata.io | www.linkedin.com/in/a hazards • an instruction can be executed when its operands have been calculated or loaded from memory • an instruction stalls if operands are not availableAlex Dathskovsky | alex.dathskovsky@speedata com/in/alexdathskovsky Reordering Types • Data dependencies must be honored • C++ compiler may reorder any memory access under the as-if rule • Different processors have different reordering guarantiesAlex
    0 码力 | 112 页 | 5.17 MB | 5 月前
    3
  • pdf文档 Java 应用与开发 - Java 内存模型与分配机制

    Java 内存模型 Java 程序内存运行分析 Java 内存管理建议 JVM 内存溢出和参数调优 当遇到 OutOfMemoryError 时该如何做? ▶ 常见的 OOM(Out Of Memory)内存溢出异常,就是堆内 存空间不足以存放新对象实例时导致。 ▶ 永久区内存溢出相对少见,一般是由于需要加载海量的 Class 数据,超过了非堆内存的容量导致。 ▶ 栈内存也会溢出,但是更加少见。 Java 内存模型 Java 程序内存运行分析 Java 内存管理建议 JVM 内存溢出和参数调优 当遇到 OutOfMemoryError 时该如何做? ▶ 常见的 OOM(Out Of Memory)内存溢出异常,就是堆内 存空间不足以存放新对象实例时导致。 ▶ 永久区内存溢出相对少见,一般是由于需要加载海量的 Class 数据,超过了非堆内存的容量导致。 ▶ 栈内存也会溢出,但是更加少见。 Java 内存模型 Java 程序内存运行分析 Java 内存管理建议 JVM 内存溢出和参数调优 当遇到 OutOfMemoryError 时该如何做? ▶ 常见的 OOM(Out Of Memory)内存溢出异常,就是堆内 存空间不足以存放新对象实例时导致。 ▶ 永久区内存溢出相对少见,一般是由于需要加载海量的 Class 数据,超过了非堆内存的容量导致。 ▶ 栈内存也会溢出,但是更加少见。
    0 码力 | 44 页 | 818.30 KB | 1 年前
    3
  • ppt文档 JVM 内存模型

    0 码力 | 1 页 | 48.42 KB | 1 年前
    3
  • pdf文档 Haskell 2010 Language Report

    247 29.1.3 Allocating managed memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 30 Foreign.Marshal 249 31 Foreign.Marshal.Alloc 251 31.1 Memory allocation . . . . . . . . . . . popular in functional pro- gramming. In this Report, the meaning of such syntactic sugar is given by translation into simpler constructs. If these translations are applied exhaustively, the result is a program slightly sugared variant of the lambda calculus with a straightforward denotational semantics. The translation of each syntactic structure into the kernel is given as the syntax is introduced. This modular
    0 码力 | 329 页 | 1.43 MB | 1 年前
    3
  • pdf文档 Just-in-Time Compilation - J F Bastien - CppCon 2020

    In this talk I'll tell you about C++ AoT compiler, JiTs for dynamic language, JiTs for binary translation, and dive back 20, 30, 40, 50, 60 years, way back into compiler history and read wonderful academic liberty, folks usually think of JIT as: The executable code changes after the program is loaded into memory and the linker/loader are done doing their work. On modern systems: pages mapped X at some point “just-in-time” compilation (JiT) techniques since the 1960s. Broadly, JiT compilation includes any translation performed dynamically, after a program has started execution. We examine the motivation behind
    0 码力 | 111 页 | 3.98 MB | 5 月前
    3
  • epub文档 Django 2.2.x Documentation

    utils.module_loading django.utils.safestring django.utils.text django.utils.timezone django.utils.translation Validators Writing validators How validators are run Built-in validators Built-in Views Serving login screen: Since translation is turned on by default, the login screen may be displayed in your own language, depending on your browser’s settings and if Django has a translation for this language. similar to mod_perl – it embeds Python within Apache and loads Python code into memory when the server starts. Code stays in memory throughout the life of an Apache process, which leads to significant performance
    0 码力 | 2915 页 | 2.83 MB | 1 年前
    3
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