Black-Scholes mixing on SandyBridge, Radeon and Geforce

Intel, AMD and NVidia have all written implementations of the Black-Scholes algorithm for their devices. Intel has described a kernels in their OpenCL optimisation-document (page 28 and further) with 3 random factors as input: S, K and T, and two configuration-constants R and V. NVidia is easy to compare to Intel’s, while AMD chose to write down the

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Basic Concepts: OpenCL Convenience Methods for Vector Elements and Type Conversions

In the series Basic Concepts I try to give an alternative description to what is said everywhere else. This time my eye fell on alternative convenience methods in two cases which were introduced there to be nice to devs with i.e. C/C++ and/or graphics backgrounds. But I see it explained too often from the convenience functions and

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Installing both NVidia GTX and AMD Radeon on Linux for OpenCL

August 2012: article has been completely rewritten and updated. For driver-specific issues, please refer to this article. Want to have both your GTX and Radeon working as OpenCL-devices under Linux? The bad news is that attempts to get Radeon as a compute device and the GTX as primary all failed. The good news is that

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