TED Theater, Soho, New York

Tuesday, September 24, 2019
New York, NY

The Event

As part of Global Goals Week, the Skoll Foundation and the United Nations Foundation are pleased to present We the Future: Accelerating Sustainable Development Solutions on September 21, 2017 at TED Theater in New York.
The Sustainable Development Goals, created in partnership with individuals around the world and adopted by world leaders at the United Nations, present a bold vision for the future: a world without poverty or hunger, in which all people have access to healthcare, education and economic opportunity, and where thriving ecosystems are protected. The 17 goals are integrated and interdependent, spanning economic, social, and environmental imperatives.
Incremental change will not manifest this new world by 2030. Such a shift requires deep, systemic change. As global leaders gather for the 72nd Session of the UN General Assembly in September, this is the moment to come together to share models that are transforming the way we approach the goals and equipping local and global leaders across sectors to accelerate achievement of the SDGs.




Together with innovators from around the globe, we will showcase and discuss bold models of systemic change that have been proven and applied on a local, regional, and global scale. A curated audience of social entrepreneurs, corporate pioneers, government innovators, artistic geniuses, and others will explore how we can learn from, strengthen, and scale the approaches that are working to create a world of sustainable peace and prosperity.


Meet the

Speakers

Click on photo to read each speaker bio.

Amina

Mohammed

Deputy Secretary-General of the United Nations



Astro

Teller

Captain of Moonshots, X





Catherine

Cheney

West Coast Correspondent, Devex



Chris

Anderson

Head Curator, TED



Debbie

Aung Din

Co-founder of Proximity Designs



Dolores

Dickson

Regional Executive Director, Camfed West Africa





Emmanuel

Jal

Musician, Actor, Author, Campaigner



Ernesto

Zedillo

Member of The Elders, Former President of Mexico



Georgie

Benardete

Co-Founder and CEO, Align17



Gillian

Caldwell

CEO, Global Witness





Governor Jerry

Brown

State of California



Her Majesty Queen Rania

Al Abdullah

Jordan



Jake

Wood

Co-founder and CEO, Team Rubicon



Jessica

Mack

Senior Director for Advocacy and Communications, Global Health Corps





Josh

Nesbit

CEO, Medic Mobile



Julie

Hanna

Executive Chair of the Board, Kiva



Kate Lloyd

Morgan

Producer, Shamba Chef; Co-Founder, Mediae



Kathy

Calvin

President & CEO, UN Foundation





Mary

Robinson

Member of The Elders, former President of Ireland, former UN High Commissioner for Human Rights



Maya

Chorengel

Senior Partner, Impact, The Rise Fund



Dr. Mehmood

Khan

Vice Chairman and Chief Scientific Officer, PepsiCo



Michael

Green

CEO, Social Progress Imperative







http://wtfuture.org/wp-content/uploads/2015/12/WTFuture-M.-Yunus.png

Professor Muhammad

Yunus

Nobel Prize Laureate; Co-Founder, YSB Global Initiatives



Dr. Orode

Doherty

Country Director, Africare Nigeria



Radha

Muthiah

CEO, Global Alliance for Clean Cookstoves





Rocky

Dawuni

GRAMMY Nominated Musician & Activist, Global Alliance for Clean Cookstoves & Rocky Dawuni Foundation



Safeena

Husain

Founder & Executive Director, Educate Girls



Sally

Osberg

President and CEO, Skoll Foundation



Shamil

Idriss

President and CEO, Search for Common Ground



Main venue

TED Theater

Soho, New York

Address

330 Hudson Street, New York, NY 10013


Email

wtfuture@skoll.org

Due to limited space, this event is by invitation only.

Save the Date

Join us on Facebook to watch our event live!

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December 1, 2020 by 0

Format of the Course. Get Free The Complete Concurrent And Parallel Programming Course, 70% Off Site-Wide Available now and use The Complete Concurrent And Parallel Programming Course, 70% Off Site-Wide Available immediately to get % off or $ off or free shipping. By David Orenstein. The definitive list of the best Parallel Programming courses currently on the internet. Suppose there are N courses, and these are labelled from 1 to N. We also gave a relation array, where relations[i] = [X, Y], is representing a prerequisite relationship between course X and course Y. You are not supposed to trigger CI jobs by frequent updates of your pull request. ; Score sheet: Link Workstations are opened for testing. First you should test you work locally with all … Use parallel processing solutions for web applications. Who: This class is for developers, scientists, engineers, researchers and students who want to learn about GPU programming, algorithms, and optimization In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. Skip to the teaching material. The multiprocessing module in Python’s Standard Library has a lot of... Kernel density estimation as benchmarking function. Parallel Programming in Java (Coursera), #3. Parallel Programming (EN 601.320/420/620) Syllabus in standard CS/JHU/ABET format. Multithreading and Parallel Computing are topics for those who already have some experience in programming, otherwise, you may face difficulties with understanding the content. This course explicitly covers the following APIs in Modern Java: ParallelStreams. Multi- and many-core processors, once found on expensive supercomputers, are now ubiquitous; however, parallel programming paradigms must be used to benefit from the processing power of multi- and many-core processors, but those paradigms are little known to the majority of programmers. Understand and use parallel programming with Fortran in OpenMP. The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Utilizing multithreaded principles is crucial for building fast processing and performant applications. Add parallel blocks for specifying shared memory parallelism. Welcome to this course: The Complete Concurrent and Parallel Programming Course.The terms concurrency and parallelism are often used in relation to multithreaded programs.Concurrency means that an application is making progress on more than one task at the same time (concurrently). In the 21st century this topic is becoming more and more popular with the advent of Big Data and Machine Learning. Search. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. Best Parallel Programming Courses 2020 Best Parallel Programming Tutorials 2020 Concurrency, Multithreading and Parallel Computing in Java This course covers the basics of multithreading and simultaneous programming with some parallel concepts. But the content covered is highly relevant and first class (the authors being world-leading experts on the topic), so if you are interested in parallel programming, this is course is a great choice. #1. Results. As supercomputers have grown much larger and more complex, tasking has emerged as one of the leading alternatives to current bulk synchronous programming models, with the promise of both higher performance and more productive software … We will consider the low level concepts such … Synchronize threads and use multi-threading. Calculate fractals in parallel to render multiple pixels and characters. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. The material on this page mirrors that information. In the 21st century, this subject is becoming more and more popular with the advent of Big Data and… This course will teach you about: Task Programming: how to create and run tasks, cancel them, wait on them and handle exceptions that occur in tasks. This course will teach you about: Task Programming: how to create and run tasks, cancel them, wait on them and handle exceptions that occur in tasks. This offering of CS315B will be a course in advanced topics and new paradigms in programming supercomputers, with a focus on modern tasking runtimes. Implement parallel programming techniques for performance improvements. Course Description. Description. The course covers parallel programming tools, constructs, models, algorithms, parallel matrix computations, parallel programming optimizations, scientific applications and parallel system software. An introduction to parallel programming using Python's multiprocessing module . It covers concepts & programming principles involved in developing scalable parallel applications. Implement vector programming with SIMD extensions for HPC systems. Parallel programming (Coursera), #2. More details are available here. Course availability will be considered finalized on the first day of open enrollment. Parallel Programming Course. This course is about .NET Parallel Programming with C# and covers the core multithreading facilities in the .NET Framework, namely the Task Parallel Library (TPL) and Parallel LINQ (PLINQ). April 22, 2010 Stanford parallel programming course available online for free. In this section, I will explain about the need to learn about the Parallel and Asynchronous programming concepts in todays software development This is the webpage for the Parallel Programming course View on GitHub Parallel Programming @ NCTU, Fall 2020 Announcement. Execute distributed computational tasks. In this class you will learn the fundamentals of parallel computing using the CUDA parallel computing platform and programming model. The instructor has been upfront in differentiating parallel programming (the objective of this course) from concurrency programming. Introduction to the multiprocessing module. Low-level Thread API, APM, and EAP Format of the Course. Multithreading and Parallel Programming in C# Course Catalog Overcome multithreading and asynchronous programming in C# problems & improve performance by parallel computing in C# What you’ll learn. Be able to use the full power of TPL (task parallel library) by using Tasks 12/17 presentation; Sign up for the presentation schedule at https://ppt.cc/fzWjrx by Dec. 3. Python Server Side Programming Programming. Top Development Courses Add parallel blocks for specifying shared memory parallelism. By the end of this course you will be able to: - reason about task and data parallel programs, - express common algorithms in a functional style and solve them in parallel, - competently microbenchmark parallel code, - write programs that effectively use parallel collections to achieve performance Recommended background: You should have at least one year programming experience. Interactive lecture and discussion. Understand and use parallel programming with Fortran in OpenMP. Multithreading and Parallel Programming in C# Course Catalog. Lots of exercises and practice. This course is about .NET Parallel Programming with C# and covers the core multithreading facilities in the .NET Framework, namely the Task Parallel Library (TPL) and Parallel LINQ (PLINQ). Parallel programming models such as threads, MapReduce, Apache Spark and SIMT; Course Availability. Conclusion. In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. Interactive lecture and discussion. Course Description. Format of the Course. Getting Started with Parallel and Asynchronous programming. In this course, Building Multithreaded C# Applications with the Task Parallel Library, you’ll learn foundational knowledge to efficiently apply the parallel programming and multithreaded principles to build fast and solid applications. Interactive lecture and discussion. At the end of the course, you would (we hope) be in a position to apply parallelization to your project areas and beyond, and to explore new avenues of research in the area of parallel programming. This course prepares the programmer to tackle the massive data sets and huge problem size of modern scientific, cloud, and enterprise computing. Parallel Courses in Python. Implement vector programming with SIMD extensions for HPC systems. The following parallel programming technologies are considered in practice: MPI; OpenMP; TBB; std::thread; Rules for submissions. CompletableFuture. About the course. This course is about the basics of multithreading and concurrent programming with some parallel concepts. Calculate fractals in parallel to render multiple pixels and characters. With an increasing amount of data and more complex algorithms available to scientists and practitioners today, parallel processing is almost always a must, and in fact, is expected in packages implementing time-consuming methods. What: Intro to Parallel Programming is a free online course created by NVIDIA and Udacity. With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. Anyway, this course covers: Theoretical foundations of asynchronous programming: main concepts, processes, threads and so on. Understanding the MapReduce Programming Model (Pluralsight), and other courses.

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