The document provides an overview of Aruba's networking portfolio including their Aruba CX switching portfolio, wireless access points, and network analytics engine. It summarizes the key features of Aruba's switching portfolio including their CX access and aggregation switches ranging from the CX 6100 to CX 8400. It also summarizes Aruba's wireless access point portfolio including their indoor, outdoor, and hospitality APs ranging from entry-level to high-performance 11ac and 11ax models. Finally, it briefly discusses Aruba's network analytics engine and cloud-native architecture.
This document provides an overview of the libuv library. Libuv is a cross-platform asynchronous I/O and event loop library written in C. It is used by Node.js and many other projects. The document discusses libuv's architecture, features like the event loop, handles, and requests. It also covers libuv's use in Node.js and the current state and future plans for libuv.
The document provides an overview of Aruba's networking portfolio including their Aruba CX switching portfolio, wireless access points, and network analytics engine. It summarizes the key features of Aruba's switching portfolio including their CX access and aggregation switches ranging from the CX 6100 to CX 8400. It also summarizes Aruba's wireless access point portfolio including their indoor, outdoor, and hospitality APs ranging from entry-level to high-performance 11ac and 11ax models. Finally, it briefly discusses Aruba's network analytics engine and cloud-native architecture.
This document provides an overview of the libuv library. Libuv is a cross-platform asynchronous I/O and event loop library written in C. It is used by Node.js and many other projects. The document discusses libuv's architecture, features like the event loop, handles, and requests. It also covers libuv's use in Node.js and the current state and future plans for libuv.
Run Jenkins as Managed Product on ECS - AWS MeetupPhilipp Garbe
This document discusses running Jenkins as a managed product on Amazon ECS. It highlights benefits of continuous delivery such as increased organizational performance. It then discusses using Jenkins on ECS specifically, including dynamically scaling agents, using plugins cautiously, and defining Jenkins through CloudFormation. Some learnings are presented around scaling and draining, storage options, and using Network Load Balancers with ECS. The document encourages attendees to join the author's team at Scout24.
How Fast is AI in Pharo? Benchmarking Linear RegressionESUG
This document benchmarks different implementations of linear regression in Pharo and compares them to implementations in Python. It finds that:
1) Calling the LAPACK library from Pharo provides a significant speedup of up to 2,103 times compared to a pure Pharo implementation.
2) The scikit-learn Python implementation is faster than the Pharo+LAPACK prototype by 8-5 times depending on dataset size.
3) A pure Pharo implementation is up to 15 times faster than an equivalent pure Python implementation.
The results suggest Pharo can achieve high performance by leveraging optimized numerical libraries like LAPACK and lay the foundation for future work building fast machine learning libraries in Pharo.
This document outlines the Gitlab flow for solo development projects, which uses branches for new features, hotfixes, and production deployment. The process involves creating feature branches off of master, merging them back after development, then deploying master to production. Hotfix branches are made from production for bug fixes, then merged to both master and production. Tags are created at deployment points to easily rollback if needed. Branches are deleted once no longer needed to keep the repository clean.
Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
What's New for GitLab CI/CD February 2020Noa Harel
The document summarizes new features and enhancements to GitLab's CI/CD capabilities between November 2019 and January 2020. Key updates include associating milestones with releases, adding an environments dashboard to pipelines, enabling squash and merge for merge trains, and collecting evidence for releases. Planned highlights for February 2020 focus on package management, release management, and automated testing capabilities.
Gi-Fi is a next generation wireless technology that allows data transfer speeds up to 5 gigabits per second using a single-chip 60GHz transceiver. This is over 10 times faster than current wireless speeds and operates within a 10 meter range. Gi-Fi aims to provide high-speed wireless data transfer with low power consumption. It uses millimeter wave spectrum and supports the IEEE 802.15.3c standard. Potential applications include high-definition media streaming between devices and wireless transmission of large files. Gi-Fi is expected to become the dominant wireless technology within 5 years by providing low-cost, high-speed wireless connectivity for both home and enterprise use.
Development myshoes and Provide Cycloud-hosted runner -- GitHub Actions with ...whywaita
Talked by https://cnd.connpass.com/event/223825/
re-upload: https://speakerdeck.com/whywaita/development-myshoes-and-provide-cycloudhosted-runner-github-actions-with-your-shoes
The document discusses Aruba's networking portfolio and solutions for campus, branch, and data center networks. It highlights Aruba's new CX switching portfolio which features a common operating system and architecture across edge access to the data center. The CX switches are designed to address customer challenges around legacy networks not keeping pace with digital transformation needs. The document also covers Aruba's Wi-Fi 6 access point portfolio and the benefits of Wi-Fi 6 technology.
Run Jenkins as Managed Product on ECS - AWS MeetupPhilipp Garbe
This document discusses running Jenkins as a managed product on Amazon ECS. It highlights benefits of continuous delivery such as increased organizational performance. It then discusses using Jenkins on ECS specifically, including dynamically scaling agents, using plugins cautiously, and defining Jenkins through CloudFormation. Some learnings are presented around scaling and draining, storage options, and using Network Load Balancers with ECS. The document encourages attendees to join the author's team at Scout24.
How Fast is AI in Pharo? Benchmarking Linear RegressionESUG
This document benchmarks different implementations of linear regression in Pharo and compares them to implementations in Python. It finds that:
1) Calling the LAPACK library from Pharo provides a significant speedup of up to 2,103 times compared to a pure Pharo implementation.
2) The scikit-learn Python implementation is faster than the Pharo+LAPACK prototype by 8-5 times depending on dataset size.
3) A pure Pharo implementation is up to 15 times faster than an equivalent pure Python implementation.
The results suggest Pharo can achieve high performance by leveraging optimized numerical libraries like LAPACK and lay the foundation for future work building fast machine learning libraries in Pharo.
This document outlines the Gitlab flow for solo development projects, which uses branches for new features, hotfixes, and production deployment. The process involves creating feature branches off of master, merging them back after development, then deploying master to production. Hotfix branches are made from production for bug fixes, then merged to both master and production. Tags are created at deployment points to easily rollback if needed. Branches are deleted once no longer needed to keep the repository clean.
Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
What's New for GitLab CI/CD February 2020Noa Harel
The document summarizes new features and enhancements to GitLab's CI/CD capabilities between November 2019 and January 2020. Key updates include associating milestones with releases, adding an environments dashboard to pipelines, enabling squash and merge for merge trains, and collecting evidence for releases. Planned highlights for February 2020 focus on package management, release management, and automated testing capabilities.
Gi-Fi is a next generation wireless technology that allows data transfer speeds up to 5 gigabits per second using a single-chip 60GHz transceiver. This is over 10 times faster than current wireless speeds and operates within a 10 meter range. Gi-Fi aims to provide high-speed wireless data transfer with low power consumption. It uses millimeter wave spectrum and supports the IEEE 802.15.3c standard. Potential applications include high-definition media streaming between devices and wireless transmission of large files. Gi-Fi is expected to become the dominant wireless technology within 5 years by providing low-cost, high-speed wireless connectivity for both home and enterprise use.
Development myshoes and Provide Cycloud-hosted runner -- GitHub Actions with ...whywaita
Talked by https://cnd.connpass.com/event/223825/
re-upload: https://speakerdeck.com/whywaita/development-myshoes-and-provide-cycloudhosted-runner-github-actions-with-your-shoes
The document discusses Aruba's networking portfolio and solutions for campus, branch, and data center networks. It highlights Aruba's new CX switching portfolio which features a common operating system and architecture across edge access to the data center. The CX switches are designed to address customer challenges around legacy networks not keeping pace with digital transformation needs. The document also covers Aruba's Wi-Fi 6 access point portfolio and the benefits of Wi-Fi 6 technology.
2014/09/20に実施した、PepperTechFestivalでの技術セッション(基本)の講演資料となります。
本資料の無断転載を禁じます。すべての著作権はソフトバンクロボティクス株式会社に帰属します。
Presentation Docs for Pepper Tech Festival
Title : Technical Session Basic
SoftBank Robotics Corp. 2014. All rights reserved.
OSC 2020 online/kyotoで発表した資料です。
前に作った資料を修正加筆しました。
rEFIndの削除方法とか、UEFI32bitとか
必要な情報を多数追加しました。
発表動画はOSPNのYoutubeのサイトに公開されています。
是非ご感想をよろしくお願いいたします。
Thank you for your viewing.
Beginner for install Linux and *BSD in the inexpensive ARM and Intel based mo...Netwalker lab kapper
I will talk it in Taian COSCUP 2020, 8/2 15:30〜16:00 online.
Let's enjoy to install Linux for Beginner, in English
https://coscup.org/2020/zh-TW/agenda/AL73DQ
Please see it.
Thank you!
Hacking the third Smartphone OS and Some Mobile device in #COSCUP 2019 第三款智能...Netwalker lab kapper
This document summarizes Kenji Shimono's presentation on hacking third party smartphone operating systems and mobile devices at COSCUP 2019. The presentation covered installing various Linux distributions like Ubuntu, Debian, ArchLinux, and BSD variants on older Android smartphones and Windows tablets. It discussed hacking devices with Intel, Allwinner, Rockchip and Amlogic processors. It also provided details on installing third party mobile operating systems like SailfishOS, UBPorts, PostmarketOS on smartphones like the Nexus 5 to reuse older devices.
2. 自己紹介 Self Introduction
• My name: Kapper
• Twitter account:@kapper1224
• HP:http://kapper1224.sakura.ne.jp
• Slideshare:http://www.slideshare.net/kapper1224
• Mastodon:https://pawoo.net/@kapper1224/
• Facebook:https://www.facebook.com/kapper1224/
• My nobels:https://ncode.syosetu.com/n7491fi/
• My Togetter:https://togetter.com/id/kapper1224
• My Youtube:http://kapper1224.sakura.ne.jp/Youtube.html
• My Hobby:Linux、*BSD、andMobileDevices
• My favoritewords:The records are the more important than the experiment.
• Test Model:Netwalker、Nokia N900、DynabookAZ、RaspberryPi、Nexus7、Nexus5、Chromebook、GPD-WIN、GPD-
Pocket、Macbook、NANOTE、WindowsTablet、SailfishOS、UBPorts、postmarketOS、NetBSDand The others...
• Recent my Activity:
• Hacking Generative AI (Images and LLM) in a lot of devices.
• Hacking Linux on Windows10 Tablet (Intel Atom) and Android Smartphone.
• Hacking NetBSD and OpenBSD on UEFI and WindowsTablet.
• I have over 200 Windows Tablet and 120 ARM Android,and test it now.
• 後、最近小説家になろうで異世界で製造業と産業革命の小説書いていますなう。
40. CPU VS GPU
• 現在高速化としてGPUを使うのが主流
• CPU VS GPUの速度は1:20〜100くらいの速度差
• WebサーバとブラウザはCPU、計算はGPUで分担している
• CPUで計算するとWebサーバとブラウザの分だけ負担が増える
OllamaなどCUIで使うのも良い(Xも不要)
• AI 学習は完全にGPU優位。GPUはメモリ確保が大変高価