[Solution by pSeven for multiple engineering software users.]
Multiple software integration operations and data unification methods. In addition, an introduction to optimization and prediction model generation using data.
[Agenda]
- Integration & Automation
- Design Exploration
- Run-Ready Workflows
- Use Cases
Slides pertaining to the webinar: All New Monyog v7.04 Demonstration and Roadmap Update. Where Shree, Product Manager, Webyog Inc., gives a complete walkthrough of the All New Monyog v7.04 and discussed the performance improvements in the latest version. He also shared the product roadmap so you can keep up with the product enhancements in the future. https://goo.gl/JH0j7M
High Performance Distributed TensorFlow with GPUs and Kubernetesinside-BigData.com
In this deck from the Stanford HPC Conference, Chris Fregly from PipelineAI presents: High Performance Distributed TensorFlow with GPUs and Kubernetes.
"Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, open-source, end-to-end TensorFlow Model Training and Deployment System using the latest advancements with TensorFlow, Kubernetes, OpenFaaS, GPUs, and PipelineAI.
In addition to training and hyper-parameter tuning, our model deployment pipeline will include continuous canary deployments of our TensorFlow Models into a live, hybrid-cloud production environment. This is the holy grail of data science - rapid and safe experiments of ML / AI models directly in production. Following the famous Netflix Culture that encourages "Freedom and Responsibility", I use this talk to demonstrate how Data Scientists can use PipelineAI to safely deploy their ML / AI pipelines into production using live data. Offline, batch training and validation is for the slow and weak. Online, real-time training and validation on live production data is for the fast and strong. Learn to be fast and strong by attending this talk!"
Watch the video: https://youtu.be/k4qAKQHakNg
Learn more: https://pipeline.ai/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
MongoDB World 2019: Why NBCUniversal Migrated to MongoDB AtlasMongoDB
NBCUniversal, a worldwide mass media corporation, was looking for a more affordable and easier way to manage their database solution that hosts their extensive online digital assets. With Datavail’s assistance, NBCUniversal, made the move from MongoDB 3.6 to MongoDB Atlas on AWS.
Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AIData Con LA
Abstract:-
Using the latest advancements from TensorFlow including the Accelerated Linear Algebra (XLA) Framework, JIT/AOT Compiler, and Graph Transform Tool , I’ll demonstrate how to optimize, profile, and deploy TensorFlow Models - and the TensorFlow Runtime - in GPU-based production environment.
This talk is 100% demo based with open source tools and completely reproducible through Docker on your own GPU cluster.
Bio:-
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production."
Pipeline.AI was also the recent winner of the O'Reilly Media AI Startup Showcase at the AI conference.
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
Thomas Seibert and Gregor Zurowski demonstrate how Mercedes-Benz.io has achieved to go from idea to production in no time. Through the evolution of an effective and developer oriented application generation framework, utilization of a highly automated tool chain, organizational improvements and the infrastructure provided by PCF they will describe how their delivery performance has increased on many dimensions and how their ecosystem allows for scaling to a multitude of teams.
Adopting PCF At An Automobile ManufacturerVMware Tanzu
SpringOne Platform 2017
Thomas Seibert, Mercedes-Benz.io GmbH; Gregor Zurowski, Independent Consultant
"The main idea for this talk is to show the audience how we implemented a microservice architecture based on Pivotal Cloud Foundry (PCF) in a corporate environment by avoiding monolithic applications, allowing shorter release cycles and enabling horizontal scalability with a multitude of teams. This case study covers project inception, conception, implementation and going into production. The goal is to share our experiences, ideas and gotchas on our path to digital transformation with PCF.
We start off by briefly describing our initial design ideas of moving away from a heavyweight application model to lightweight, flexible and scalable applications.
In the main part of the presentation we focus on the design and architecture of our PCF environment and our microservice applications. In this part, we discuss the following topics:
How we set up our PCF foundations.
How we enabled our teams and organized business services into PCF orgs and spaces.
Our development stack that includes Spring Boot, Spring Cloud, and Spring Cloud Services.
The need for shared services across space and org boundaries.
Our application versioning concept and how we implemented it.
The use of an API gateway component and how we implemented it.
Patterns for backend integration.
Zero downtime deployments.
In the last part, we speak about issues we experienced, lessons we learned, plans for improvement, as well as opportunities and enhancements for the platform."
Implementing and Extending Oracle PLM Cloud for Gibson OverseasJade Global
Implementing and Extending Oracle PLM Cloud for Gibson Overseas, a Case Study of the PLM Cloud Implementation and Extension Project by Jade Global.
As presented during the OATUG (Oracle Applications and Technology Users Group) Collaborate19 Conference in San Antonio, Texas.
.NET Day - Continuous Deployment Showdown: Traditional CI/CD vs. GitOpsMarc Müller
In this session, we will compare traditional CI/CD and GitOps approaches to continuous deployment. Using practical examples, we will demonstrate how to implement both methods using Azure Pipelines and FluxCD.
In traditional CI/CD workflows, code changes are pushed through a pipeline to reach production, while in GitOps, changes are submitted and detected by a GitOps agent that synchronizes them with the production environment.
We will discuss the advantages and disadvantages of each method and how to optimize your continuous deployment process using Azure Pipelines and FluxCD. Attendees will learn which method is best suited for their needs and how to improve software development and deployment.
In dieser Session werden wir traditionelle CI/CD- und GitOps-Ansätze für Continuous Deployment vergleichen. Anhand praktischer Beispiele wird gezeigt, wie beide Methoden mit Azure Pipelines und FluxCD implementiert werden können.
Bei traditionellen CI/CD-Workflows werden Codeänderungen durch eine Pipeline in die Produktion gepusht, während bei GitOps die Änderungen eingereicht und von einem GitOps-Agenten erkannt werden, der sie mit der Produktionsumgebung synchronisiert.
Wir werden die Vor- und Nachteile der einzelnen Methoden erörtern und zeigen, wie Sie Ihren kontinuierlichen Bereitstellungsprozess mit Azure Pipelines und FluxCD optimieren können. Die Teilnehmer werden erfahren, welche Methode für ihre Bedürfnisse am besten geeignet ist und wie sie die Softwareentwicklung und -bereitstellung verbessern können.
Slides pertaining to the webinar: All New Monyog v7.04 Demonstration and Roadmap Update. Where Shree, Product Manager, Webyog Inc., gives a complete walkthrough of the All New Monyog v7.04 and discussed the performance improvements in the latest version. He also shared the product roadmap so you can keep up with the product enhancements in the future. https://goo.gl/JH0j7M
High Performance Distributed TensorFlow with GPUs and Kubernetesinside-BigData.com
In this deck from the Stanford HPC Conference, Chris Fregly from PipelineAI presents: High Performance Distributed TensorFlow with GPUs and Kubernetes.
"Applying my Netflix experience to a real-world problem in the ML and AI world, I will demonstrate a full-featured, open-source, end-to-end TensorFlow Model Training and Deployment System using the latest advancements with TensorFlow, Kubernetes, OpenFaaS, GPUs, and PipelineAI.
In addition to training and hyper-parameter tuning, our model deployment pipeline will include continuous canary deployments of our TensorFlow Models into a live, hybrid-cloud production environment. This is the holy grail of data science - rapid and safe experiments of ML / AI models directly in production. Following the famous Netflix Culture that encourages "Freedom and Responsibility", I use this talk to demonstrate how Data Scientists can use PipelineAI to safely deploy their ML / AI pipelines into production using live data. Offline, batch training and validation is for the slow and weak. Online, real-time training and validation on live production data is for the fast and strong. Learn to be fast and strong by attending this talk!"
Watch the video: https://youtu.be/k4qAKQHakNg
Learn more: https://pipeline.ai/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
MongoDB World 2019: Why NBCUniversal Migrated to MongoDB AtlasMongoDB
NBCUniversal, a worldwide mass media corporation, was looking for a more affordable and easier way to manage their database solution that hosts their extensive online digital assets. With Datavail’s assistance, NBCUniversal, made the move from MongoDB 3.6 to MongoDB Atlas on AWS.
Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AIData Con LA
Abstract:-
Using the latest advancements from TensorFlow including the Accelerated Linear Algebra (XLA) Framework, JIT/AOT Compiler, and Graph Transform Tool , I’ll demonstrate how to optimize, profile, and deploy TensorFlow Models - and the TensorFlow Runtime - in GPU-based production environment.
This talk is 100% demo based with open source tools and completely reproducible through Docker on your own GPU cluster.
Bio:-
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production."
Pipeline.AI was also the recent winner of the O'Reilly Media AI Startup Showcase at the AI conference.
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
Thomas Seibert and Gregor Zurowski demonstrate how Mercedes-Benz.io has achieved to go from idea to production in no time. Through the evolution of an effective and developer oriented application generation framework, utilization of a highly automated tool chain, organizational improvements and the infrastructure provided by PCF they will describe how their delivery performance has increased on many dimensions and how their ecosystem allows for scaling to a multitude of teams.
Adopting PCF At An Automobile ManufacturerVMware Tanzu
SpringOne Platform 2017
Thomas Seibert, Mercedes-Benz.io GmbH; Gregor Zurowski, Independent Consultant
"The main idea for this talk is to show the audience how we implemented a microservice architecture based on Pivotal Cloud Foundry (PCF) in a corporate environment by avoiding monolithic applications, allowing shorter release cycles and enabling horizontal scalability with a multitude of teams. This case study covers project inception, conception, implementation and going into production. The goal is to share our experiences, ideas and gotchas on our path to digital transformation with PCF.
We start off by briefly describing our initial design ideas of moving away from a heavyweight application model to lightweight, flexible and scalable applications.
In the main part of the presentation we focus on the design and architecture of our PCF environment and our microservice applications. In this part, we discuss the following topics:
How we set up our PCF foundations.
How we enabled our teams and organized business services into PCF orgs and spaces.
Our development stack that includes Spring Boot, Spring Cloud, and Spring Cloud Services.
The need for shared services across space and org boundaries.
Our application versioning concept and how we implemented it.
The use of an API gateway component and how we implemented it.
Patterns for backend integration.
Zero downtime deployments.
In the last part, we speak about issues we experienced, lessons we learned, plans for improvement, as well as opportunities and enhancements for the platform."
Implementing and Extending Oracle PLM Cloud for Gibson OverseasJade Global
Implementing and Extending Oracle PLM Cloud for Gibson Overseas, a Case Study of the PLM Cloud Implementation and Extension Project by Jade Global.
As presented during the OATUG (Oracle Applications and Technology Users Group) Collaborate19 Conference in San Antonio, Texas.
.NET Day - Continuous Deployment Showdown: Traditional CI/CD vs. GitOpsMarc Müller
In this session, we will compare traditional CI/CD and GitOps approaches to continuous deployment. Using practical examples, we will demonstrate how to implement both methods using Azure Pipelines and FluxCD.
In traditional CI/CD workflows, code changes are pushed through a pipeline to reach production, while in GitOps, changes are submitted and detected by a GitOps agent that synchronizes them with the production environment.
We will discuss the advantages and disadvantages of each method and how to optimize your continuous deployment process using Azure Pipelines and FluxCD. Attendees will learn which method is best suited for their needs and how to improve software development and deployment.
In dieser Session werden wir traditionelle CI/CD- und GitOps-Ansätze für Continuous Deployment vergleichen. Anhand praktischer Beispiele wird gezeigt, wie beide Methoden mit Azure Pipelines und FluxCD implementiert werden können.
Bei traditionellen CI/CD-Workflows werden Codeänderungen durch eine Pipeline in die Produktion gepusht, während bei GitOps die Änderungen eingereicht und von einem GitOps-Agenten erkannt werden, der sie mit der Produktionsumgebung synchronisiert.
Wir werden die Vor- und Nachteile der einzelnen Methoden erörtern und zeigen, wie Sie Ihren kontinuierlichen Bereitstellungsprozess mit Azure Pipelines und FluxCD optimieren können. Die Teilnehmer werden erfahren, welche Methode für ihre Bedürfnisse am besten geeignet ist und wie sie die Softwareentwicklung und -bereitstellung verbessern können.
DWX 2023 - Datenbank-Schema Deployment im Kubernetes ReleaseMarc Müller
Kubernetes bietet viel Funktionalität, um Zero-Downtime Deployments durchzuführen. Etwas herausfordernder wird es dann, wenn der Service-Update auch mit einem Datenbank-Schema Update verbunden ist. Nebst den verschiedenen Strategien, um ein Datenbankschema in einem Zero-Downtime-Release auszurollen, lernen Sie in diesem Vortrag, wie das Datenbank-Schema sowie die Deployment-Tools in einem Container Verpackt mit der Applikation ausgerollt werden können. Somit erhalten wir ein einziges, in sich konsistentes, Helm Paket, welches den Service samt Datenbank-Schema ausrollen kann.
Group of Airflow core committers talking about what's coming with Airflow 2.0!
Speakers: Ash Berlin-Taylor, Kaxil Naik, Kamil Breguła Jarek Potiuk, Daniel Imberman and Tomasz Urbaszek.
Leveraging SAP ASE Workload Analyzer to optimize your database environmentSAP Technology
New functionality in SAP ASE allows you to capture, analyze and replay a production workload in a non-disruptive manner. Learn how to capture a workload on your production system, analyze the characteristics of the workload, and then replay it on a testing environment. See how quickly you can analyze the impact of changes in configuration parameters on application performance. Use real-life scenarios to determine the optimal configuration for your database.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. Agenda
▪ Integration & Automation:
▪ Generic Integration
▪ Direct Integration
▪ Process Automation
▪ Design Exploration
▪ Run-Ready Workflows
▪ Use Cases:
▪ Optimization of Bus Suspension Beam Geometry
▪ Optimization of the Marine Propeller Shape in a Uniform Flow
2
Integration &
Automation
3. Generic Integration
You can integrate almost any software, for example:
3
Update input text file Parse output text fileRun external softwareProvide input Get output
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4. Direct Integration
pSeven supports direct integration for popular major CAD/CAE and engineering tools, like:
4
Direct CAD Integration:
Direct CAE Integration:
Engineering Tools Integration:
5. Process Automation
Workflow consists of blocks, connections and parameters that provide:
▪ 다양한 소프트웨어의 단일 workflow 구성
▪ Workflow 실행 자동화
▪ 다수의 workflow 통합
▪ 실행 데이터 및 히스토리 자체 DB 저장
5
6. Agenda
▪ Integration & Automation:
▪ Generic Integration
▪ Direct Integration
▪ Process Automation
▪ Design Exploration
▪ Run-Ready Workflows
▪ Use Cases:
▪ Optimization of Bus Suspension Beam Geometry
▪ Optimization of the Marine Propeller Shape in a Uniform Flow
6
Integration &
Automation
8. Agenda
▪ Integration & Automation:
▪ Generic Integration
▪ Direct Integration
▪ Process Automation
▪ Design Exploration
▪ Run-Ready Workflows
▪ Use Cases:
▪ Optimization of Bus Suspension Beam Geometry
▪ Optimization of the Marine Propeller Shape in a Uniform Flow
8
Integration &
Automation
9. Run-Ready Workflows
pSeven allows creating predefined or so-called “Run-ready workflows”:
▪ Inputs 과 parameters 값만 변경할 수 있도록 구성
▪ 비 숙련자 대상의 제품 개발 프로세스에 사용 가능
9
Inputs Outputs
Parameters Monitors
10. Agenda
▪ Integration & Automation:
▪ Generic Integration
▪ Direct Integration
▪ Process Automation
▪ Design Exploration
▪ Run-Ready Workflows
▪ Use Cases:
▪ Optimization of Bus Suspension Beam Geometry
▪ Optimization of the Marine Propeller Shape in a Uniform Flow
10
Integration &
Automation
11. Optimization of Bus Suspension Beam Geometry
Objective
▪ Beam mass minimization
▪ Complying constrains on stresses and strains for two load cases:
▪ vertical loading
▪ braking
Details
▪ 13 parameters are varied
▪ Problem has 8 constrains
▪ Geometry is prepared in PTC Creo
▪ Stresses and strains are calculated in ANSYS Mechanical
Results
▪ Mass is reduced by 6% (from 55 to 52 kg)
▪ Number of iterations – 450
DATADVANCE confidential - do not distribute under any circumstances11
12. Optimization of the Marine Propeller Shape in a Uniform Flow
Objective
▪ Increase the propeller’s efficiency at the fixed mode with strictly specified
constraints
Challenges
▪ Many parameters, describing the propeller blade (more than 100)
▪ Time-consuming numerical simulation of the propeller in STAR-CCM+CFD
software
▪ Various simulation software had to be integrated in a single workflow
Solution
▪ Dedicated Flypoint Parametrica software was developed to build
parametric propulsor models (the number of parameters reduced to 23)
▪ One-objective optimization problem with constraints was solved with the
help of pSeven
▪ pSeven workflow engine allowed to integrate the all the software
Result
▪ Propeller’s efficiency increased by 1.5%
12