Optimizing ASP.NET with C++ AMP on the GPU

Scott Zimmerman
Amazon Web Services, 2015

   title={Optimizing ASP.NET with C++ AMP on the GPU},

   author={Zimmerman, Scott},



This whitepaper is intended for Microsoft Windows developers who are considering writing high-performance parallel code in Amazon Web Services (AWS) using the Microsoft C++ Accelerated Massive Parallelism (C++ AMP) library. This paper describes an ASP.NET Model-View-Controller (MVC) web application written in C# that invokes C++ functions running on the graphics processing unit (GPU) for matrix multiplication. Since matrix multiplication is of order N-cubed, multiplying two 1024 x 1024 matrixes requires over one billion multiplications, and is therefore an example of a compute-intensive operation that would be a good candidate for GPU programming. This paper shows how to use AWS Elastic Beanstalk and the AWS Toolkit for Visual Studio to launch a Microsoft Windows Server instance with an NVIDIA GPU in the Amazon Elastic Compute Cloud (Amazon EC2) on AWS.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

TwitterAPIExchange Object
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1477422327
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1477422327
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => zRopYgl+3YjDukAu9w2PmEZP+SM=

    [url] => https://api.twitter.com/1.1/users/show.json
Follow us on Facebook
Follow us on Twitter

HGPU group

2034 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: