## Debugging the BPF Virtual Machine eBPF Summit ## Why? ● Debugging is useful to understand how things work ● Sometimes, eBPF programs can’t even load - I couldn’t find good resources on this, so so, here I am ● I break lots of eBPF programs - The BPF Virtual machine is not easy to understand ## The approach ## The BPF subsystem lives in the kernel ![Image](/uploads/documents/7/1/6/1/7161fc3

## I s Your Virtual Machine Really Ready-to-go with Istio? Kailun Qin, Intel Haoyuan Ge ## I stioCon Quick Summary (from Google Cloud Next '19 [1]) ## V M works on Istio! ## Why Add VMs to the complexity O Need consistent policy enforcement O Need consistent metrics aggregation ## ☑ Traffic management O Load balancing for VMs, failover, A/B testing, modern rollouts for VM services ## ☑ Security 5f75591b1719e6/p13_2.jpg) #### V 1.6-1.8 Better VM Workload Abstraction |Item|Kubernetes|Virtual Machine| |---|---|---| |Basic schedule unit|Pod|WorkloadEntry| |Component|Deployment|WorkloadGroup| |Service

# Machine Learning Lecture 10: Neural Networks and Deep Learning Feng Li fli@sdu.edu.cn https://funglee.github.io School of Computer Science and Technology Shandong University Fall 2018 ## Deep Feedforward $ is usually a highly non-linear function • Feedforward networks are of extreme importance to machine learning practitioners - The conventional neural networks (CNN) used for object recognition from

## GPU Resource Management On JDOS 梁永清 liangyongqing1@jd.com ## 提供的服务 ## Experiment ## Training 1. 用于实验的 GPU 容器 2. 基于 Kubeflow 的机器学习训练服务 3. 模型管理和模型 Serving 服务 ## Serving 均基于容器，不对业务方直接提供 GPU 物理机

## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 20 ## C++ is complex  mostly for historical hierarchiesRule of Five with disabled copy & move ("DesDeMovA")virtual ~T() = default operator=(T&&)Scoped ManagersShort-lived, on the sonarsource.com/blog/beyond-the-rules-of-three-five-and-zero/ ## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 20

## 20 23 October 01 - 06 ## +23 ## A Journey Into Non-Virtual Polymorphism ## RUDYARD MERRIAM ## Who Doesn't Recognize This??  Cppcon 2023 | Rud Merriam | A Journey into Non-Virtual Polymorphism ## Background ## • Experience with many languages – FORTRAN IV (1968!), PL/M, assembly, C, Turbo Pascal, Forth • Taught dispatch Cppcon 2023 | Rud Merriam | A Journey into Non-Virtual Polymorphism ## Polymorphic Variables • Base class pointer to derived class – Virtual functions are not bad! • Standard Template Library

24. June # Secrets Management at Scale with Vault & Rancher  Bastian Hofman Senior Field Engineer SUSE bastian.hofmann@suse Operations & Infrastructure Management (Run & Manage) K8s Version Management GitOps Continuous Delivery Cluster Templates & Config Enforcement Node Pool Management RBAC, OPA, Pod & Network Network Policies Cluster Provisioning & Lifecycle Management  kubernetes ![Image](/uploads/documents/4/7/a/c/47acf68

## Machine Learning Pytorch Tutorial TA：曾元(Yuan Tseng) 2022.02.18 ## Outline Background: Prerequisites & What is Pytorch? • Training & Testing Neural Networks in Pytorch • Dataset & Dataloader [Image](/uploads/documents/7/6/e/1/76e1a67e96719ae74c41b110fe07bfe6/p3_2.jpg) ## What is PyTorch? - An machine learning framework in Python. • Two main features: ○ N-dimensional Tensor computation (like NumPy) synthesis, ...) ☐ Most implementations of recent deep learning papers ○ ... ## References • Machine Learning 2021 Spring Pytorch Tutorial • Official Pytorch Tutorials https://numpy.org/ Any questions

Back to Basics: The Abstract Machine Bob Steagall CppCon 2020 ## KEWB COMPUTING ## Overview/Goals • Describe abstract machines in general • Describe the C++ abstract machine specifically • Language goals • Important components of the abstract machine, and their relationships • Provide a useful overview of the C++ abstract machine ## What is an Abstract Machine? “Abstract machines are machines because between the high level of a programming language and the low level of a real machine. The instructions of an abstract machine are tailored to the particular operations required to implement operations of

## +23 ## Optimizing Away Virtual Functions May Be Pointless ## SHACHAR SHEMESH Slide #2 - who am I?  ## DO NOT ENTER One reviewer's notes: There are interesting technical details and surprising conclusions that virtual functions can be actually faster. Since CPU architectures are mentioned, I'd expect to see deep slowdown - gcc Intel  Virtual vs. Concrete Run Times - gcc Intel ![Image](/uploads/documents/1/0/9/2/1092c89fc888067fdbc59ca7369237f9/p14_1