The document summarizes a GPU accelerated PDE solver project led by Xiaohe Liu as project engineer with a team of 4 software engineers. The team built a Helmholtz equation solver for heat transfer that was accelerated up to 200 times faster using MPI parallelization and CUDA/OpenACC-based GPU algorithms. A Qt-based GUI was also developed to visualize the temperature field data. As project engineer, Xiaohe prepared a contract book with a PERT chart and Gantt chart, monitored the project schedule, and led the team to complete the project 10 days ahead of schedule.
Ayoga Pull Project Planner is a cloud-based Project planning software. It enables Project Managers to plan the entire project in a simple web interface. Being cloud based, the project information is available to all the stakeholder unlike file based project planning systems
Please visit http://www.thedesignsense.com/ayoga/ for more information
Ayoga Pull Project Planner is a cloud-based Project planning software. It enables Project Managers to plan the entire project in a simple web interface. Being cloud based, the project information is available to all the stakeholder unlike file based project planning systems
Please visit http://www.thedesignsense.com/ayoga/ for more information
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing platform. Its major features are: 1) JVM kernel support including Java, Scala, Groovy, Clojure, Kotlin, and SQL. The kernels are built from a shared base kernel that includes magics and classpath support. 2) a collection of interactive widgets for time-series plots, tables, and forms. There are APIs for our JVM languages plus Python and JavaScript. 3) prototype autotranslation for polyglot programming 4) One-click publication including interactive widgets, and 5) a data browser with drag-and-drop into the notebook. The presentation will include a demo of BeakerX and discussion of its history and relationship to its predecessor the Beaker Notebook.
By Tiezheng Li
PyData New York City 2017
BeakerX is a collection of kernels and extensions to Jupyter. It has: 1) extensive JVM kernel support 2) interactive widgets for plots, tables, and forms (with Java, Python, and JS APIs), 3) autotranslation for polyglot programming 4) One-click publication and 5) a data browser with drag-and-drop. We will demo BeakerX and discuss its history and relationship to its predecessor the Beaker Not
Continuous Delivery to the Cloud: Automate Thru Production with CI + SpinnakerVMware Tanzu
To continuously deliver software to the cloud, companies must adopt critical capabilities that ensure the safety, security, scalability and traceability of deployed applications—from development hand-off through production release.
Pivotal built a deep integration with Spinnaker, an open source continuous delivery platform, and Cloud Foundry (CF) to automate the full path to production. Spinnaker complements and extends the capabilities of continuous integration (CI) tools, including Concourse, to enable developers to ship code rapidly with increased confidence and greater visibility, as well as provide full auditability and operational control of applications.
Spinnaker functions as an application-centric control plane, abstracting the details of cloud platforms not relevant to developers and organizing cloud resources around applications. It provides opinionated building blocks to perform common actions and allow deployment pipelines to be assembled consistently and as needed. Spinnaker’s pipeline workflows support more advanced rollout mechanisms like blue/green deployments, conditional deployments, time window restrictions, and automated canary analysis. Spinnaker also facilitates “in production” application testing, stressing and scaling.
In this webinar, you will learn how:
- Continuous delivery practices complement and extend continuous integration, enabling consistent, safe production releases
- Spinnaker works with CI solutions to execute complex, rule-driven, cloud-provider-integrated, high-volume deployments
- Spinnaker’s multi-cloud asset inventory supports construction of further operational tools like chaos engineering, zero-day security vulnerability scanning, and autoscalers
We’ll also demo a Spinnaker pipeline so you can see continuous delivery to PCF in action.
Presenters : Jon Schneider, Olga Kundzich, Pat Johnson from Pivotal
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing platform. Its major features are: 1) JVM kernel support including Java, Scala, Groovy, Clojure, Kotlin, and SQL. The kernels are built from a shared base kernel that includes magics and classpath support. 2) a collection of interactive widgets for time-series plots, tables, and forms. There are APIs for our JVM languages plus Python and JavaScript. 3) prototype autotranslation for polyglot programming 4) One-click publication including interactive widgets, and 5) a data browser with drag-and-drop into the notebook. The presentation will include a demo of BeakerX and discussion of its history and relationship to its predecessor the Beaker Notebook.
By Tiezheng Li
PyData New York City 2017
BeakerX is a collection of kernels and extensions to Jupyter. It has: 1) extensive JVM kernel support 2) interactive widgets for plots, tables, and forms (with Java, Python, and JS APIs), 3) autotranslation for polyglot programming 4) One-click publication and 5) a data browser with drag-and-drop. We will demo BeakerX and discuss its history and relationship to its predecessor the Beaker Not
Continuous Delivery to the Cloud: Automate Thru Production with CI + SpinnakerVMware Tanzu
To continuously deliver software to the cloud, companies must adopt critical capabilities that ensure the safety, security, scalability and traceability of deployed applications—from development hand-off through production release.
Pivotal built a deep integration with Spinnaker, an open source continuous delivery platform, and Cloud Foundry (CF) to automate the full path to production. Spinnaker complements and extends the capabilities of continuous integration (CI) tools, including Concourse, to enable developers to ship code rapidly with increased confidence and greater visibility, as well as provide full auditability and operational control of applications.
Spinnaker functions as an application-centric control plane, abstracting the details of cloud platforms not relevant to developers and organizing cloud resources around applications. It provides opinionated building blocks to perform common actions and allow deployment pipelines to be assembled consistently and as needed. Spinnaker’s pipeline workflows support more advanced rollout mechanisms like blue/green deployments, conditional deployments, time window restrictions, and automated canary analysis. Spinnaker also facilitates “in production” application testing, stressing and scaling.
In this webinar, you will learn how:
- Continuous delivery practices complement and extend continuous integration, enabling consistent, safe production releases
- Spinnaker works with CI solutions to execute complex, rule-driven, cloud-provider-integrated, high-volume deployments
- Spinnaker’s multi-cloud asset inventory supports construction of further operational tools like chaos engineering, zero-day security vulnerability scanning, and autoscalers
We’ll also demo a Spinnaker pipeline so you can see continuous delivery to PCF in action.
Presenters : Jon Schneider, Olga Kundzich, Pat Johnson from Pivotal
Film Language: Camera Movements in Cinema and Film Studies. Ian Moreno-Melgar
A long PDF that has been used to introduce GCSE Film Students to the complicated process of identifying and explaining the use of camera movement. This is a fairly detailed series of slides which I have used in school for a couple of classes now. As it is a PDF the clips do not play but where possible I've used SlideShare and YouTube to embed the relevant videos which is why some images or slides may appear repeated. Included on the slide are a list of the videos referred to and used. . Similarly, as it was designed to be used in lessons the overall 'structure' is somewhat disjointed and is missing slides that includes answers or ideas that were discussed in lessons. In order to help where possible, I've included large versions of worksheets so that these can be clipped and printed out if necessary. Many thanks for taking a look and please feel free to take a look at my other uploads as you will find plenty there on other aspects of Film Studies
Spark on Kubernetes - Advanced Spark and Tensorflow Meetup - Jan 19 2017 - An...Chris Fregly
https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/227622666/
Title: Spark on Kubernetes
Abstract: Engineers across several organizations are working on support for Kubernetes as a cluster scheduler backend within Spark. While designing this, we have encountered several challenges in translating Spark to use idiomatic Kubernetes constructs natively. This talk is about our high level design decisions and the current state of our work.
Speaker:
Anirudh Ramanathan is a software engineer on the Kubernetes team at Google. His focus is on running stateful and batch workloads. Previously, he worked on GGC (Google Global Cache) and prior to that, on the infrastructure team at NVIDIA."
This is based on hypothetical scenarios and random calculations to showcase the various steps of Project Management. This has not covered the 10 knowledge areas of PMBOK rather it is limited based on our hypothetical project requirements.
If the project is big then you may be required to include all the knowledge areas.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the GPU Hackathon Mentor program, Helmholtz virtual hackathon, GTC21, upcoming GPU Hackathons and Bootcamps, and new resources!
Eglinton Crosstown West Extension - Leveraging FME to Automate Data ConversionsSafe Software
Arup is providing engineering design and technical advisory services supporting procurement, coordination, and construction of the Eglinton Crosstown West Extension (ECWE), a $4.7bn extension of the Eglinton Crosstown LRT in Toronto.
The Eglinton Crosstown West Extension will take the Crosstown LRT another 9.2 km farther west, and includes seven stations (four underground, two elevated, one partially below-grade), a new bridge over the Humber River, and a 6.5-km tunnel. Supporting a complex multi-disciplinary design required the use of digital tools to facilitate project management and collaboration. Arup developed automated processes using FME (Feature Manipulation Engine) and FME Server to convert and publish CAD files to the project webviewer on a daily schedule as they were updated.
Using these processes, up-to-date design information is always available to view, analyze, and monitor the progress of the project in a single web mapping application for the project team, client, and stakeholders. The FME automation simplified an update process that required several software and manual intervention, ensuring fast, efficient, and reliable data downloads and conversions were handled autonomously.
Additionally, FME provided the ability to validate information and flag any CAD files that did not follow data standards outlined in the project, triggering an automatic email that stopped the conversion process and notified the developer. This helped uncover and resolve issues with design files before shared with the broader team.
Overall, FME has automated an otherwise manually exhausting ETL (extract, transform, load) process to accurately maintain and upkeep data, ultimately saving a significant amount of time and improving communication across multiple software platforms and within a multi-disciplinary design team
Learn how to overcome the challenges brought by tech doc project estimation and cost tracking from the results of a real-world case study.
Presented by:
Barry Saiff - Founder and CEO, Saiff Solutions, Inc.
[Case study] DONG Energy: Improving the bottom line and getting better data q...Schneider Electric
Applications:
An intelligent, easy-to-use drawing tool in which all the features selected in the design
phase are automatically saved in the GIS immediately.
Customer benefits:
• Improved bottom line
• Better data quality
• Better customer service
• Greater organisational knowledge about the projects
• Minimize the risks of errors
Your university is holding a fund-raiser and will be hiring a band t.docxransayo
Your university is holding a fund-raiser and will be hiring a band to entertain spectators. You have been selected to serve as the event project manager and have created a Work Breakdown Structure and duration estimates for the activities involved in site preparation for the event. Construct a network activity diagram based on the following information:
Conduct both a forward and backward pass using AON notation. What is the estimated total duration for the project?
Identify all paths through the network. Which is the critical path?
Which activities have slack time?
Identify all burst activities and merge activities.
Activity II
- Given the following information, answer the questions about this project:
Draw the network as a Gantt chart.
What is the critical path? Which activities have slack time?
What would happen if activities B and D each took 5 extra days to complete instead of the expected duration? How would the critical path change?
.
Stay up-to-date with the OpenACC Monthly Highlights. February's edition covers the updated specification OpenACC 3.2, upcoming GPU Hackathons and Bootcamps, OpenACC's BOF at SC21 , recent research, new resources and more!
The Software Suite
The DrakaXSNet Software Suite strips the complexity out of building FTTX networks, making every project quicker, more transparent, and more efficient.
Eliminate guesswork
The continually evolving DrakaXSNet Software Suite is based on a clean-sheet design developed specifically for network implementation projects.
Technip Energies Italy: Planning is a graph matterNeo4j
Neo4j and Technip Energies Italy executed an Innovation Lab Sprint. The goal of the laboratory has been to frame, design and prototype the use case identified by their colleagues of Planning, Equipment and Construction disciplines, by applying Knowledge Graph technology, as the way to connect the data to gain information and insights as an immediate value, that is:
– capturing engineering deliverable milestone chain by gaining insights into a schedule
– performing reasoning on information, evidence and data
– extracting insights from data
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the first remote GPU Hackathons, a complete schedule of upcoming events, using OpenACC for a biophysics problem, NVIDIA HPC SDK, GCC 10, new resources and more!
A popular programming model for running data intensive applications on the cloud is map reduce. In
the Hadoop usually, jobs are scheduled in FIFO order by default. There are many map reduce
applications which require strict deadline. In Hadoop framework, scheduler wi t h deadline
con s t ra in t s has not been implemented. Existing schedulers d o not guarantee that the job will be
completed by a specific deadline. Some schedulers address the issue of deadlines but focus more on
improving s y s t em utilization. We have proposed an algorithm which facilitates the user to
specify a jobs deadline and evaluates whether the job can be finished before the deadline.
Scheduler with deadlines for Hadoop, which ensures that only jobs, whose deadlines can be met are
scheduled for execution. If the job submitted does not satisfy the specified deadline, physical or
virtual nodes can be added dynamically to complete the job within deadline[8].
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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.
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.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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.
1. ENGN2912J Fall 2016 Course Project:
A GPU Accelerated PDE Solver
Xiaohe Liu as Project Engineer
and
Xiuqi Li, Shihong Li & Yixiang Deng as Software Engineers
Providence, RI · Nov. – Dec. 2017
--Data visualization of the temperature field on a 2D squared field solved using our solver.
2. 2
Led a team of 4 to build a fast Helmholtz
equation solver for heat transfer problem on
a 2D squared field.
Accelerated the solver up to 200 times
faster using MPI parallel method and CUDA
& OpenACC based GPU algorithm.
GPU-Accelerated PDE Solver Qt-Based GUI & Data Visualization
Speed up
using
CUDA
Speed up
Using
MPI parallel
Developed a Graphical User Interface using
Qt widget class.
Incorporated the result of data visualization
into the GUI.
Screenshots
of the software
In use
KEY ACHIEVEMENTS OF THE PROJECT
3. 3
Prepared a contract book including a PERT
chart and a Gantt chart.
Estimated project budget and prepared risk
plan.
Project Planning Project Execution
PERT
Chart
Monitored project execution and provided
weekly updated schedules to address
deviations from the plan.
Led and coordinated the team.
Accelerated the project by 10 days.
XIAOHE’S WORK AS A PROJECT ENGINEER
Gantt
Chart
