OpenGL Geometry Instancing Test: Radeon vs GeForce
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OpenGL Geometry Instancing Test: Radeon vs GeForce
Geometry Instancing
Radeon vs GeForce
(Test) Particle Rendering: Point Sprites vs Geometry Instancing based Billboards
Point Sprites vs
Geometry Instancing
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MSI Kombustor v3.5.0
and v2.5.8
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Samsung SSD 850 PRO
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ASUS N550JK Notebook PC Review (with GeForce GTX 850M)
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NVIDIA CUDA


Large Scale Flocking and Obstacle Avoidance Simulation Using CUDA

2 comments - What do you think?  Posted by JeGX - 2009/04/14 at 15:30

Categories: NVIDIA CUDA   Tags: , , , , ,




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ATI and NVIDIA GDC 2009 Presentations Available!

4 comments - What do you think?  Posted by JeGX - at 10:16

Categories: ATI Stream, Game Development, Microsoft DirectX, NVIDIA CUDA, NVIDIA PhysX, OpenGL   Tags: , , , , , , , , , , , , ,

GDC 2009


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Awesome: Real Time 3D Fluid and Particle Simulation and Rendering

1 comment - What do you think?  Posted by JeGX - 2009/03/23 at 16:41

Categories: GPU, NVIDIA CUDA, NVIDIA PhysX   Tags: , , , , , , ,




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CUDA Voxel Rendering Engine

4 comments - What do you think?  Posted by JeGX - 2009/03/17 at 13:38

Categories: NVIDIA CUDA   Tags: , , , , ,

CUDA Voxel Rendering Engine


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GPU RayCaster Demo Using NVIDIA CUDA

8 comments - What do you think?  Posted by JeGX - 2009/03/10 at 12:25

Categories: Game Development, NVIDIA CUDA, Programming   Tags: , , , , , , , ,

GPU CUDA RayCaster
Demo with post-processing effect

GPU CUDA RayCaster
Demo without post-processing effect


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NVIDIA CUDA and OpenCL Roadmaps – CUDA PTX Bytecode

4 comments - What do you think?  Posted by JeGX - 2008/12/12 at 11:17

Categories: NVIDIA CUDA, OpenCL   Tags: , , , , ,

NVIDIA CUDA Roadmap


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SIGGRAPH 2008 Asia: A Stack of PDF Available on GPGPU Programming

2 comments - What do you think?  Posted by JeGX - at 11:10

Categories: ATI Stream, NVIDIA CUDA, OpenCL, Programming   Tags: , , , , , ,

Siggraph 2008 - GPGPU


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How to Solve Black-Scholes and Monte Carlo Equations With CUDA

1 comment - What do you think?  Posted by JeGX - 2008/11/28 at 11:14

Categories: NVIDIA CUDA   Tags: , , , ,

Financial equation


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Bullet 2.73 Physics Engine Uses CUDA

Be the first to comment - What do you think?  Posted by JeGX - 2008/11/26 at 11:02

Categories: Game Development, NVIDIA CUDA, SDK   Tags: , , , , , ,

Bullet Physics SDK demo CUDA


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Interactive Ray Tracing with CUDA and OpenGL

Be the first to comment - What do you think?  Posted by JeGX - 2008/10/23 at 09:09

Categories: Game Development, NVIDIA CUDA, OpenGL   Tags: , , , , ,

Hybrid ray Tracing CUDA OpenGL


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Programming a Matrix Multiplication for GPUs with CUDA

Be the first to comment - What do you think?  Posted by JeGX - 2008/10/14 at 10:45

Categories: NVIDIA CUDA, Programming   Tags: , , , , , ,

CUDA makes it possible to program the GPU with the language C. This article will show you the steps to code a matrix multiplication routine in CUDA:

  • allocate memory on the GPU with cudaMalloc or cudaMallocPitch (for aligned memory allocation)
  • move data to the GPU with cudaMemcpy2D
  • select the kernel domain, write the kernel and run it
  • move results back from the GPU to the host with cudaMemcpy2D
  • free resources with cudaFree

NVIDIA GeForce Graphics Cards Used to Break WIFI Passwords

4 comments - What do you think?  Posted by JeGX - 2008/10/13 at 14:59

Categories: Graphics Cards, NVIDIA CUDA   Tags: , , , , , , , ,

With graphics cards such the GeForce GTX 280 and parallel brute force based algorithms coded in CUDA (GPGPU techniques), WiFi’s WPA (RC4 based) and WPA2 (AES based) encryption systems are now crackable and the time to crack them compared to CPU based algorithms is reduced by a factor of 100 (or 10,000 %).


[source]

Update (2008-10-16)


SIGGRAPH 2008 Presentations: Programming with CUDA

3 comments - What do you think?  Posted by JeGX - 2008/09/17 at 09:44

Categories: NVIDIA CUDA, Programming   Tags: , , , , , , , ,

NVIDIA has released two SIGGRAPH 2008 presentations about CUDA. The first one talks about image processing and video algorithms with CUDA and shows some CUDA applications such as image filtering (sobel filter with code sample). This presentation talks also about NVCUVID, the video extension for CUDA. NVCUVID is similar to DXVA API, but is platform OS independent.


The second presentation is more general about CUDA programming and shows how to create high performance code to run on the millions of CUDA-capable GPUs already in use.

Links:


NVIDIA’s GT200: Inside a Parallel Processor

Be the first to comment - What do you think?  Posted by JeGX - 2008/09/12 at 10:01

Categories: Graphics Cards, NVIDIA CUDA   Tags: , , , , , , , ,


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CUDA 2.0 Available

1 comment - What do you think?  Posted by JeGX - 2008/08/19 at 19:23

Categories: NVIDIA CUDA, Programming   Tags: , , , , , ,

CUDA 2.0 is available here: CUDA Zone. To take advantage of CUDA, you need Forceware 177.84 or better (177.89). Samples work with GeForce 8/9 series.

NVIDIA CUDA technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs.
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[via]

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