CppCon, September 2020 Neighborhoods Banding Together Reasoning Globally about Programs Lisa LippincottThe code here is written in a fantasy C++, with extensions supporting local reasoning.void foo()

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 tell me about 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 sense? Scope of the 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

Rules • IPC stands for Intra-Process Communication • Programs stand for software running in a constrained environment ▪ CCI stands for: oContract oConcept oImplementationProblem Definition: Channel

Design patterns for error handling in C++ programs using parallel algorithms and executors Mark Hoemmen* mhoemmen@stellarscience.com CppCon 2020 * hoʊ’mən, or hœm’mən; he/himWho am I? • > 10 years

PyCon China Hangzhou 2019 Agenda I. Linux Kernel Debugging  Overview  eBPF  Development II. BCC  Overview  Development III. LISA  Overview  Internals https://elixir.bootlin.com/linux/latest/source 2) eBPF 2.1 BPF (Berkeley Packet Filter, aka cBPF)  https://en.wikipedia.org/wiki/Berkeley_Packet_Filter with-bpf Workflow  o Source: ebpfbasics-190611051559.pdf 2.2 eBPF (extended BPF)  since Linux Kernel v3.15 and ongoing  aims at being a universal in-kernel

nd-progress-ratifying-multiple- technical-specifications-launching-new-education-programs-and-accelerating-broad-industry-adoption/  https://riscv.org/blog/2021/06/antmicro-open-so Runtimes" is coming soon. 2.3 Unified runtime for eBPF and Wasm Summary II. Practicing Sparrow  Our previous talks "GraalVM-based unified runtime for eBPF & Wasm" at GOTC 2021 (Shenzhen) & & "Revisiting GraalVM-based unified runtime for eBPF & Wasm" at OpenInfra Days China 2021(Beijing), and the third-round discussion of this topic will come in this year, which includes

1233 数据治理一体化实践之体系化建模 1263 vi > 2022年美团技术年货 运维 / 安全 1277 数字化新业态下数据安全创新——Token 化 1277 Linux 中基于 eBPF 的恶意利用与检测机制 1293 如何应对开源组件风险？软件成分安全分析（SCA）能力的建设与演进 1328 算法 < 1 YOLOv6：又快又准的目标检测框架开源啦 作者：楚怡 凯衡 1293 Linux 中基于 eBPF 的恶意利用与检测机制 作者：陈驰 杨一 鑫博 前言 近几年，云原生领域飞速发展，K8s 成为公认的云操作系统。容器的高频率部署、短 暂的生命周期、复杂的网络路由，都给内核安全带来了新的挑战。系统内核面对的复 杂性在不断增长，在满足性能、可扩展性等新需求的同时，还需要保障系统稳定可 用，这是极其困难的事情。此时，eBPF 出现，它以较小的子系统改动，保障了系统 的 动态执行。 eBPF 由 BPF 发 展 而 来，BPF 全 称 Berkeley Packet Filter，1992 年 由 Steven McCanne 和 Van Jacobson 提出，1997 年引入 Linux Kernel 2.1，3.0 中增加了 即时编译器，应用在网络过滤领域。2014 年 Alexei Starovoitov 实现了 eBPF 并扩 展到用户空间，威力更大。常用的

过Sampling_rate控制采样频率。 典型： Py-spy !"#$:%&'(-CPU EBPF Berkeley Packet Filter Event驱动 + Predefined Hooks = Pull System StackTrace 典型：pyroscrope 、 gprofiler Py-spy EBPF yKernelz{|m}~b•€•stack trace - py-spy instead

Describing the Code 23 6.1 The Deterministic Algorithm . . . . . . . . . . . . . . . . . . . . 23 6.2 Programs for Reinforcement Learning. . . . . . . . . . . . . . . . 24 6.2.1 Initialization . . . . . . . . . . . . . 35 6.2.6 Play.py . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 6.3 Programs for Supervised Learning . . . . . . . . . . . . . . . . . 40 6.3.1 MakeData.py . . . . . . . . . . . . . . . . . . . . . . . 53 8.1.1 The naming of the programs in the graph . . . . . . . . . 53 8.1.2 The Settings Used by the Programs Running, and Other Relevant Information . . . . . . . . .