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  • pdf文档 How and When You Should Measure CPU Overhead of eBPF Programs

    How and When You Should Measure CPU Overhead of eBPF Programs Bryce Kahle, Datadog October 28, 2020 Why should I profile eBPF programs? CI variance tracking Tools kernel.bpf_stats_enabled kernel cases: – Benchmarking + CI/CD – Sampling profiler in production How does it work? – Adds ~20ns of overhead per run Two ways to enable kernel eBPF stats sysctl procfs Three ways to access kernel eBPF stats
    0 码力 | 20 页 | 2.04 MB | 1 年前
    3
  • pdf文档 Hidden Overhead of a Function API

    modern CPU instruction cache. As a result, the hardware spends a considerable amount of processing time — nearly 30 percent, in many cases — getting an instruction stream from memory to the CPU.” Accelerate refactoring. 33Quick benchmark https://quick-bench.com/q/mOAHh7zZeagJlCJ63GtWVMPngsw 34 25% overhead {deferred_construction output; read_strings(in, out(output)); https://www.foonathan QWORD PTR [rdi]Quick benchmark https://quick-bench.com/q/pJ3z9L_Q1M16qob8-sg8lM3-T60 44 200% overhead {C++ Core Guidelines F.26: Use a unique_ptr to transfer ownership where a pointer is needed
    0 码力 | 158 页 | 2.46 MB | 5 月前
    3
  • pdf文档 2.1.3 如何用Go模拟CPU

    如何用Go模拟CPU 蒙卓 华为 – 2012实验室 工程师 成为盘古? 让这个世界里面的人(程序)无法察觉 这个世界是创造出来的 目录 • 计算机的演化历史 – 硬件计算到冯诺伊曼架构 • 构建虚拟世界 – MOS 6502 • 控制单元(control unit) • 运算逻辑单元(arithmetic logic unit) • 6502汇编器与链接器 • 未来目标 1970年程序员 1970年程序员 CPU 80KHz 单核 内存 64KB 手编磁芯 老娘把你送上月球 2021年程序员 CPU 2,400,000KHz 4核 内存 8,000,000KB DDR3 呜呜 App内存不足 外卖下不了单 计算机的演化历史 • 一部偷懒的历史 • 硬件“计算机”时代 • 不擅长计算和记忆的人使用工具帮助计算:算盘,计算尺,手摇计算器 • 硬件计算机改进支持的算法,需要变更或重新发明整个硬件,比如让算 硬件过于复杂 • 软件基于操作系统等复杂概念 • 真的快且便宜 Go模拟CPU • 如何用Go实现冯诺伊曼架构CPU? • 简单:一个循环+一个大数组 读取当前指令 执行指令 下一条指令 模拟目标 – MOS 6502 • 诞生于1975年 • MOS 6502应用范围广 • 资料多且易获得 • 简单、容易实现的现代CPU MOS 6502简介 • 8位,变长ISA(CISC) • 中断(NMI,IRQ)
    0 码力 | 42 页 | 7.10 MB | 1 年前
    3
  • pdf文档 Bridging the Gap: Writing Portable Programs for CPU and GPU

    1/66Bridging the Gap: Writing Portable Programs for CPU and GPU using CUDA Thomas Mejstrik Sebastian Woblistin 2/66Content 1 Motivation Audience etc.. Cuda crash course Quiz time 2 Patterns Oldschool afterwards7/66 Motivation Patterns The dark path Cuda proposal Thank you Why write programs for CPU and GPU Difference CPU/GPU Algorithms are designed differently Latency/Throughput Memory bandwidth Number of talk7/66 Motivation Patterns The dark path Cuda proposal Thank you Why write programs for CPU and GPU Difference CPU/GPU Why it makes sense? Library/Framework developers Embarrassingly parallel algorithms
    0 码力 | 124 页 | 4.10 MB | 5 月前
    3
  • pdf文档 Designing an ultra low-overhead multithreading runtime for Nim

    Designing an ultra low-overhead multithreading runtime for Nim Mamy Ratsimbazafy mamy@numforge.co Weave https://github.com/mratsim/weave Hello! I am Mamy Ratsimbazafy During the day blockchain/Ethereum Hardware and software multithreading: definitions and use-cases ◇ Parallel APIs ◇ Sources of overhead and runtime design ◇ Minimum viable runtime plan in a weekend 4 Understanding the design space space Concurrency vs parallelism, latency vs throughput Cooperative vs preemptive, IO vs CPU 1 5 Parallelism is not concurrency 6 Kernel threading models 7 1:1 Threading 1 application thread ->
    0 码力 | 37 页 | 556.64 KB | 1 年前
    3
  • pdf文档 Is std::mdspan a Zero-overhead Abstraction? - Oleksandr Bakirov - CppCon

    Is std::mdspan a Zero-overhead Abstraction? Oleksandr Bacherikov Snap IncWhat is std::mdspan? It’s a view over a multi-dimensional array. It’s designed primarily to be used as a function parameter 24 Wrong! std::layout_stride supports only all strides specified at runtime. If we target zero overhead, we have to specify one of the strides as 1 at compile time.What does the Standard offer us instead
    0 码力 | 75 页 | 1.04 MB | 5 月前
    3
  • pdf文档 openEuler OS Technical Whitepaper Innovation Projects (June, 2023)

    and reliability secCrypto secPaver secGear Simplified O&M and development A-Ops SysCare CPDS CPU GPU Optimal performance for a single scenario Multi-scenario capability collaboration and sharing automatically generates module files. • HPCRunner implements one-click compilation and operation, CPU/GPU performance profiling, and benchmarking based on HPC configurations. • All configurations are for optimization based on specific service characteristics and requirements. For example, specific CPU or device binding policies can be implemented. To meet the requirements of these applications, hwloc
    0 码力 | 116 页 | 3.16 MB | 1 年前
    3
  • pdf文档 Just-in-Time Compilation - J F Bastien - CppCon 2020

    interpreter a JiT, or AoT? What if it modifies its bytecode? A CPU executes machine code… an interpreter executes bytecode… That’s the same thing, a CPU is an interpreter for machine code. A compiler can perform factor of 7 to 20. How do you develop hardware that doesn’t exist yet? When I started working on a CPU, it wasn’t obvious to me that you do so with simulators—multiple simulators—which simulate what the to the performance level of -O4.” “ Rosenblum et al. 1995 By far the fastest simulator of the CPU, MMU, and memory system of an SGI multiprocessor is an SGI multiprocessor. In other words, when
    0 码力 | 111 页 | 3.98 MB | 5 月前
    3
  • mobi文档 Computer Programming with the Nim Programming Language

    for use in production. ORC gives us GC-like, fully deterministic memory management with minimal overhead compared to manual memory handling. It reduces the maximal memory consumption of apps, avoids digital in more detail in the next section. The most important part of a digital computer is the CPU, the Central Processing Unit. This tiny device, built of digital electronic circuits, can perform limited number of values internally, which are lost when the power is switched off. Therefore, the CPU is typically electrically connected to a RAM module, a Random Access Memory, which can store many
    0 码力 | 865 页 | 7.45 MB | 1 年前
    3
  • epub文档 Computer Programming with the Nim Programming Language

    for use in production. ORC gives us GC-like, fully deterministic memory management with minimal overhead compared to manual memory handling. It reduces the maximal memory consumption of apps, avoids digital in more detail in the next section. The most important part of a digital computer is the CPU, the Central Processing Unit. This tiny device, built of digital electronic circuits, can perform limited number of values internally, which are lost when the power is switched off. Therefore, the CPU is typically electrically connected to a RAM module, a Random Access Memory, which can store many
    0 码力 | 784 页 | 2.13 MB | 1 年前
    3
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