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Professional GPU development for .NET. Professional GPU software development environment for .NET and Mono. Truly cross-platform – write GPU code once and run it on Windows, Linux or OS X. Improve productivity with first class tooling for coding, debugging and profiling. Reduce development time with prefabricated GPU algorithms and specialized libraries. Increase agility with GPU scripting and a rapid prototyping REPL.

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https://quantalea.net

Professional GPU development for .NET. Professional GPU software development environment for .NET and Mono. Truly cross-platform – write GPU code once and run it on Windows, Linux or OS X. Improve productivity with first class tooling for coding, debugging and profiling. Reduce development time with prefabricated GPU algorithms and specialized libraries. Increase agility with GPU scripting and a rapid prototyping REPL.

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blog.quantalea.net blog.quantalea.net

QuantAlea Blog - Alea GPU Blog

GPU Accelerated Deep Learning also Wanted for .NET. This entry was posted in category Talk on December 10, 2016 by. We took the chance and did a second Channel 9 recording on our GPU accelerated Machine Learning project in the Microsoft offices at Time Square New York City. It was a great experience to do the recording with Seth Juarez. Many thanks Seth! There exist already several deep learning libraries but none of them targets […]. Radically Simplified GPU Programming with C#. Talk at Swiss FinteCH Me...

INTERNAL PAGES

quantalea.net quantalea.net
1

Alea GPU Tutorial

http://www.quantalea.net/static/app/tutorial/index.html

Fork me on GitHub. Profiling and Performance Tuning. Scripting and Rapid Prototyping. This tutorial shows step by step how to use Alea GPU to develop GPU accelerated applications on .NET. Of the tutorial is available on GitHub. Section shows how to write simple GPU accelerated algorithms and explains the basic Alea GPU programming concepts. The tutorial is complemented with a rich collection of examples. Written in C#, F# and VB. If you are new to GPU computing the background. Alea GPU reference manual.

2

Alea GPU Manual - Alea GPU Manual

http://www.quantalea.net/static/app/manual/index.html

Alea GPU is a professional GPU development environment for .NET and Mono. It supports all .NET languages natively, including C#, F# and VB and delivers best developer experience:. Enhanced with refabricated GPU algorithms and libraries. Support for debugging and profiling. JIT compiler and compiler API for GPU scripting. Future oriented technology based on LLVM. No performance compromise, compiled code runs as fast as CUDA C/C. How to Get Alea GPU. Download Alea GPU through NuGet.

3

News

http://www.quantalea.net/news

4

Licensing

http://www.quantalea.net/licensing

2 (Device 0, 1). 2 (Device 0, 1). GPU cores per device. 2 (Device 0, 1). 2 (Device 0, 1). 4 (Device 0, 1, 2, 3). GPU cores per device. A developer license allows royalty-free redistribution of AOT compiled GPU code. An on-site license is required to perform JIT GPU compilation. On a machine which has no developer license installed. Different on-site licenses are available:. Price per CUDA code. The license is activated online every 30 days and it is locked to a single machine once it is activated. Invest...

5

EULA

http://www.quantalea.net/eula

End User License Agreement ( EULA ). You or your employer has concluded with QuantAlea AG, Rosenweg 3, 6340 Baar/Zug, Switzerland, a License Agreement ( License Agreement ) for the use of the Software Alea GPU ( Alea GPU ). The terms of the License Agreement shall prevail over any terms of this EULA. However, this EULA includes an extract of the License Agreement and you are required to agree to this EULA to install and use Alea GPU. 2 Grant of License. Depending on the license purchased by you or your e...

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jdesign.ru jdesign.ru

F# Cuda updating jpg file.

http://www.jdesign.ru/doc_f_CudaJpgFile.htm

F# и пример расчета на GPU. В статье рассматривается проект обработки изображения на массиве процессоров. В качестве такого массива используется видеокарта с поддержкой технологии CUDA от компании NVIDIA. В качестве технологии, обеспечивающей доступ к видеокарте, применяется библиотека Alea.cuBase от компании Quantalea. В качестве языка программирования - F Sharp. Ну, а в качесте инструмента разработки Microsoft Visual Studio 2012. 1 Что требуется для запуска проекта. 2 Должен быть установлен драйвер.

dslfin.org dslfin.org

Financial Domain-Specific Language Listing and Resources

http://www.dslfin.org/resources.html

Financial Domain-Specific Language Listing. The goal of this page is to provide a comprehensive listing of financial domain-specific languages and resources. Please send additional resource suggestions to Todd Schiller. Actulus Modeling Language (AML). An Actuarial Programming Language for Life Insurance and Pensions. David R. Christiansen, Klaus Grue, Henning Niss, Peter Sestoft, Kirstjan S. Sigtryggsson. 2013. Domain-specific languages and GPGPUs in life insurance and pensions. Peter Sestoft. 2015.

incubegroup.com incubegroup.com

Alea GPU - Incube

http://www.incubegroup.com/en/products-services/solutions/alea-gpu

Our Investment Products and Services. High productivity GPU development solution and compiler for .NET. Alea GPU at a glance:. Extending Microsoft’s modern language F# to first class CUDA language. Simple usage from any .NET language. Strongly tooled with full debugging, profiling and IntelliSense support. Integrated GPU profiling including source code correlation for performance analysis down to individual source code lines. Compiler and linker integrated into F# and callable through an API.

viralfsharp.com viralfsharp.com

Parallel | Viral F#

https://viralfsharp.com/category/parallel

Archive for the ‘Parallel’ Category. Fun with Alea.CUDA, F# Interactive, Charts. July 19, 2015. Source code for this post can be found on my GitHub. I listened to an NVIDA Webinar. On the subject and immediately wanted to take Alea.CUDA development for a test drive. I wanted to do it the same way I would in Python: just like we use Numba and IPython console, use F# scripting with F# Interactive. For a test subject, I picked the same 1D LBP described in my post here. The algorithm consists of two parts:.

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Professional GPU development for .NET. Professional GPU software development environment for .NET and Mono. Truly cross-platform – write GPU code once and run it on Windows, Linux or OS X. Improve productivity with first class tooling for coding, debugging and profiling. Reduce development time with prefabricated GPU algorithms and specialized libraries. Increase agility with GPU scripting and a rapid prototyping REPL.

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Professional GPU development for .NET. Professional GPU software development environment for .NET and Mono. Truly cross-platform – write GPU code once and run it on Windows, Linux or OS X. Improve productivity with first class tooling for coding, debugging and profiling. Reduce development time with prefabricated GPU algorithms and specialized libraries. Increase agility with GPU scripting and a rapid prototyping REPL.

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