GPGPU » Tag: DirectX Compute :: GPGPU.org http://gpgpu.org General-Purpose Computation on Graphics Hardware Tue, 22 May 2012 08:44:05 +0000 en hourly 1 http://wordpress.org/?v=3.3.2 NVIDIA GPU Computing Tutorial Webinar Series covers C for CUDA, OpenCL, and DirectX Compute http://gpgpu.org/2009/07/20/nvidia-gpu-computing-webinar http://gpgpu.org/2009/07/20/nvidia-gpu-computing-webinar#comments Mon, 20 Jul 2009 22:20:55 +0000 admin http://gpgpu.org/?p=1753 This series will cover the basics of data parallel computing on GPUs leveraging NVIDIA’s CUDA architecture. Tutorials will cover many topics including C for CUDA, programming to the OpenCL API, using Direct X Compute and performance optimization techniques, presented by NVIDIA Developer Technology Engineering team and NVIDIA staff online to answer questions.

All dates and time reference are for California, USA. Please follow the links to register for the webinars. The webinar system will send emails confirming and also reminding you of your registration. The webinars are repeated in the morning and evening California Pacific time, so that developers all over the world can choose a time that is appropriate for them.

Register here.

]]> http://gpgpu.org/2009/07/20/nvidia-gpu-computing-webinar/feed 0 NVIDIA GPU Computing Tutorial Webinar Series http://gpgpu.org/2009/04/08/nvidia-gpu-computing-tutorial-webinar-series http://gpgpu.org/2009/04/08/nvidia-gpu-computing-tutorial-webinar-series#comments Wed, 08 Apr 2009 23:12:35 +0000 Mark Harris http://gpgpu.org/?p=1515 This series of free web seminars (“webinars”) starting April 15th 2009 will cover the basics of data-parallel computing on GPUs using NVIDIA’s CUDA architecture. Tutorials will be presented by the NVIDIA Developer Technology team and will cover many topics including C for CUDA, programming with the OpenCL API , using DirectX Compute and performance optimization techniques.

Webinar topics, schedules and registration information will be updated regularly. Pre-registration is required. Please follow the links provided (after clicking “read the rest of this entry”), and registration details will be emailed back upon successful registration.

GPU Computing – An Introduction

1.5 Hours + Q&A

NVIDIA presents an introduction to the basics of GPU computing using NVIDIA CUDA technology. Topics covered include:

  • Writing a small GPU computing program in C from scratch
  • Data transfers
  • Executing functions on the GPU
  • Taking advantage of on-chip shared memory
  • Coordinating CPU and GPU execution

Concepts will be illustrated with step-by-step walkthroughs of code samples, which can be readily compiled and run.  Little or no prior GPU Computing experience required.

Wednesday, April 15th,2009  11am PST. Please register here:

https://nvidia.webex.com/nvidia/j.php?ED=108423497&RG=1&UID=0

Wednesday, April 29th,2009  11am PST.  Please register here:

https://nvidia.webex.com/nvidia/j.php?ED=108427222&RG=1&UID=0

Performance considerations for CUDA programming

1.5 hour + Q&A

NVIDIA presents  more advanced GPU computing and optimization considerations. Topics covered include:

  • Basic optimization techniques
  • Performance measurement,
  • Getting the most out of CUDA’s memory system
  • Execution configurations.

Concepts will be illustrated using real code examples together with actual performance gains. Attendance of the “GPU Computing – An introduction” tutorial  (above) or experience programming using CUDA Technology is a recommended preparation for this tutorial.

Wednesday, April 22nd,2009  11am PST. Please register here:

https://nvidia.webex.com/nvidia/j.php?ED=108529667&RG=1&UID=0

Wednesday, May 6th,2009  11am PST.  Please register here:

https://nvidia.webex.com/nvidia/j.php?ED=108529497&RG=1&UID=0

]]> http://gpgpu.org/2009/04/08/nvidia-gpu-computing-tutorial-webinar-series/feed 0