Performance of Apache Ozone on NVMe Wei-Chiu Chuang (jojochuang) Ritesh Shukla (kerneltime) Agenda • Overview of how Ozone and how it scales • Why NVME is important for Ozone for scaling • Benefits Benefits of using NVME • Impala performance results from NVME clusters • Write path improvements results from NVME clusters • Summary • Questions Ozone Architecture Why does Ozone Scale? Separation of Active - Standby Protocol Support Hadoop / S3 API Hadoop API Small objects are welcome Max performance reached at object size around 10-20 MB Hardware trends • Cloudera recommends Ozone’s metadata

#IstioCon Performance tuning and best practices in a Knative based, large-scale serverless platform with Istio 张龚, Gong Zhang, IBM China Development Lab 庄宇, Yu Zhuang, IBM China Development Lab #IstioCon Cloud. #IstioCon ● Knative and Istio ● How Istio is leveraged in a Knative based platform ● Performance bottleneck analysis and tuning ○ Istio scalability optimization during Knative Service provisioning mesh enabled (based on https://github.com/knative/serving) #IstioCon Performance bottleneck analysis and tuning • Performance Criteria: the platform has multiple shard k8s clusters, each cluster should

8-bit floating point (FP8) precision on Hopper GPUs which provides better training and inference performance with lower memory utilization. Transformer Engine also includes a collection of highly optimized Core Examples The tensor core examples provided in GitHub and NGC focus on achieving the best performance and convergence from NVIDIA Volta™ tensor cores by using the latest deep learning example networks This model is tested against each NGC monthly container release to ensure consistent accuracy and performance over time. ‣ ResNeXt101-32x4d model: This model was introduced in the Aggregated Residual Transformations

低延迟节 迟节点的 点的 PERFORMANCE ADDON OPERATOR 14.1. 了解低延迟 14.2. 安装 PERFORMANCE ADDON OPERATOR 14.3. 升级 PERFORMANCE ADDON OPERATOR 14.4. 置备实时和低延迟工作负载 14.5. 使用性能配置集调整节点以实现低延迟 14.6. 使用 PERFORMANCE ADDON OPERATOR always madvise [never] 第 第 13 章 章 巨 巨页 页的作用及 的作用及应 应用程序如何使用它 用程序如何使用它们 们 105 第 14 章 低延迟节点的 PERFORMANCE ADDON OPERATOR 14.1. 了解低延迟 在 Telco / 5G 领域，Edge 计算对于减少延迟和拥塞问题，以及提高应用程序性能方面扮演了关键角色。 简单地说，延迟决 设置值、安装内核和重新配置机器。但是这个方法需要设置四个不同的 Operator，并执行很多配置，这 些配置在手动完成时比较复杂，并容易出错。 OpenShift Container Platform 提供了一个 Performance Addon Operator 来实现自动性能优化，从而实 现 OpenShift 应用程序的低延迟性能。集群管理员使用此性能配置集配置，这有助于以更可靠的方式进行 更改。管理员可以指定是否要将内核更新至

Input/Output...............................................................169 6.13 Improving Network Performance..................................................................................... 169 7 Remote to Guest IDE/SATA Flush Requests....................................................495 12.2.3 Performance Variation with Frequency Boosting..................................................496 12.2.4 Frequency CPU Usage Reporting...........................................................496 12.2.6 Poor Performance Caused by Host Power Management.....................................497 12.3 Windows Guests..

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 Bug of prior version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.7 Bug . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 1.4.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 1.4.3 Bug

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Bug of prior version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 40 1.2.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 1.2.7 Bug . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.3 Bug

Deprecations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.5 Bug of prior version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.6 Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.4.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.4.3 Bug

2.2 Responding to guest IDE/SATA flush requests . . . . . . . . . . . . . . . 169 12.2.3 Poor performance caused by host power management . . . . . . . . . . 169 12.2.4 GUI: 2D Video Acceleration option any x86 operating system (DOS, Win- dows, OS/2, FreeBSD, OpenBSD), but to achieve near-native performance of the guest code on your machine, we had to go through a lot of optimizations that are specific packages which are shipped with VirtualBox but designed to be installed inside a VM to improve performance of the guest OS and to add extra features. This is described in detail in chapter 4, Guest Additions

2.2 Responding to guest IDE/SATA flush requests . . . . . . . . . . . . . . . 168 12.2.3 Poor performance caused by host power management . . . . . . . . . . 168 12.2.4 GUI: 2D Video Acceleration option any x86 operating system (DOS, Win- dows, OS/2, FreeBSD, OpenBSD), but to achieve near-native performance of the guest code on your machine, we had to go through a lot of optimizations that are specific packages which are shipped with VirtualBox but designed to be installed inside a VM to improve performance of the guest OS and to add extra features. This is described in detail in chapter 4, Guest Additions