23 Apr 2013: Benchmarking OpenCL and CUDA using CUDAfy on GTX Titan - an article from John Michael Hauck where he tried CUDAfy on GTX Titan in both CUDA and OpenCL mode. He also compares against the .NET parallel library on a 8-core Xeon CPU. An entertained read.
17 Apr 2013: A range of
high performance digitizers and waveform generators (ADCs and DACs) are now featured on this website. When used with supported
Xilinx FPGA cards and PCI-Express drivers fast, low latency transfers can be made to and from NVIDIA GPUs using our
GPUDirect implementation.
16 Apr 2013:
V1.21 Beta is supplied with an installer that also checks your system is correctly configured for OpenCL and/or CUDA targets.
04 Mar 2013: V1.20 Beta with new OpenCL support is available on the download page or codeplex. For many applications you only need to change a singe enum to target an AMD GPU or Intel CPU. Remember to install the relevant OpenCL SDK from AMD or Intel! Have fun and let us know how you get on.
25 Jan 2013: CUDAfy featured on Dotnet Rocks. Carl and Richard interview Evan Hauck. Listen to the show
here. Interview is at about 5 minutes from start.
22 Jan 2013:
NVIDIA GPUDirect support is available for 4DSP FPGA and I/O cards (ADCs, DACs, frame grabbers). Using GPUDirect improves bandwidth and reduces latency between GPUs and the 4DSP cards.
Email or phone for more info.
14 Jan 2013: CUDAfy featured at
CodeMash 2013 with John and Evan Hauck.
13 Jan 2013: We're working on OpenCL support and so far it's looking good. This will allow CUDAfy applications to work on AMD GPUs as well as Intel and AMD CPUs. Little or no change is required to current CUDAfy apps. If you'd like to beta-test then
please get in touch.
16 Nov 2012: Binomial Option Pricing sample available - This finance sample project is based on the NVIDIA CUDA C sample of the same name. When compared to the CUDA C code it demonstrates just how easy writing CUDAfy applications is. A beta of CUDAfy V1.13 is included (allows non-public methods and members to be CUDAfied). CUDA 5.0 and a GPU with compute 1.3 or greater is required.
http://cudafy.codeplex.com/documentation