Education
In-Game History Lessons Set to Revolutionize Classroom Learning
As game-based approaches to learning continue to grow in popularity, educators across the United States will soon have another interactive strategy game to add to their repertoire of learning tools when CivilizationEDU hits classrooms nationwide in 2017.
GlassLab Inc., a nonprofit learning company and industry-leader in digital games – established in partnership with ESA, Electronic Arts, Institute of Play, the MacArthur Foundation and the Bill & Melinda Gates Foundation – recently partnered with Take-Two Interactive, 2K and premier development studio Firaxis Games to release an adaptation of Sid Meier’s esteemed Civilization game – for in-school instruction. The modified version will elevate the game to a whole new level with enhanced features like developer diaries and an online dashboard that enables teachers to generate reports on students’ progress and track in-game accomplishments.
Through the process of discovering and establishing new civilizations, students can build key critical thinking, analytic, and decision-making skills necessary to operate in an increasingly globalized world. By creating an experience that offers both educational and entertainment value, CivilizationEDU engages students in world history, geopolitics, warfare, and the socioeconomic impact of events.
Since its debut in 1991, the Civilization series has seen remarkable success. Now in its 25th year, the Wall Street Journal reports the game has sold more than 34 million units to retailers worldwide. Given the franchise’s popularity and existing fan base, CivilizationEDU is predicted to be another smash hit.
“Civilization has challenged millions of people around the world to revisit and experience history, boldly pursue exploration, and create their own societies based on the passions and freedom of choice,” said Strauss Zelnick, chairman and CEO of Take-Two said in a press release. “I can’t think of a better interactive experience to help challenge and shape the minds of tomorrow’s leaders.”
While students and teachers will have to wait until 2017 to play CivilizationEDU, the hype surrounding the classroom version of the strategy game confirms the extraordinary demand for interactive games in the educational space.
GPU Accelerated Computing with C and C++
With the CUDA Toolkit from NVIDIA, you can accelerate your C or C++ code by moving the computationally intensive portions of your code to an NVIDIA GPU. In addition to providing drop-in library acceleration, you are able to efficiently access the massive parallel power of a GPU with a few new syntactic elements and calling functions from the CUDA Runtime API.
The CUDA Toolkit from NVIDIA is free and includes:
- Visual and command-line debugger
- Visual and command-line GPU profiler
- Many GPU optimized libraries
- The CUDA C/C++ compiler
- GPU management tools
- Lots of other features
Getting Started:
- Make sure you have an understanding of what CUDA is.
- Read through the Introduction to CUDA C/C++ series on Mark Harris’ Parallel Forall blog.
- Try CUDA by taking a self-paced lab on nvidia.qwiklab.com. These labs only require a supported web browser and a network that allows Web Sockets. Click here to verify that your network & system support Web Sockets in section “Web Sockets (Port 80)”, all check marks should be green.
- Download and install the CUDA Toolkit.
- See how to quickly write your first CUDA C program by watching the following video:
Learning CUDA:
- Take the easily digestible, high-quality, and free Udacity Intro to Parallel Programming course which uses CUDA as the parallel programming platform of choice.
- Visit docs.nvidia.com for CUDA C/C++ documentation.
- Work through hands-on examples:
- Look through the code samples that come installed with the CUDA Toolkit.
- If you are working in C++, you should definitely check out the Thrust parallel template library.
- Browse and ask questions on stackoverflow.com or NVIDIA’s DevTalk forum.
- Learn more by:
- Reading the CUDA C Programming Guide
- Reading the CUDA C Best Practices Guide
- Watching the many hours of recorded sessions from the gputechconf.com site.
- d.Participating in trainings provided at conferences, such as Supercomputing, International Supercomputing, GPU Technology Conference, any may others.
- Browsing here for more learning opportunities.
- Look at the following for more advanced hands-on examples:
- A 1D Stencil example, including shared memory and synchronized threads.
- Optimizing a Jacobi Point Iterative method.
So, now you’re ready to deploy your application?
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Availability
The CUDA Toolkit is a free download from NVIDIA and is supported on Windows, Mac, and most standard Linux distributions.
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