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It is a branch of PRESTO. We are working to accelerate the program with GPU. The work is based on Scott Ransom's C version,https://github.com/scottransom/presto About presto, please refer to http://www.cv.nrao.edu/~sransom/presto/

#2013-12-02 ####what's new####

  1. Texture memory is used to reduce the time required for memory read on GPU.
  2. cuFFT is used in a smarter way. cuFFT plans are stored independently outside functions that actually use them.

####test results####

  1. CPU platform: Intel Xeon E5-1650, 3.20GHz, 12 Cores, 62GByte memory
  2. GPU platform: Nvidia GeForce GTX780, with CUDA 5.5

#####data point = 83886080, dt per bin(s) = 0.00064#####

-numharm -zmax CPU runtime(sec) GPU runtime(sec) acceleration
16 256 2075.00 93.3 22.24
8 256 1089.82 53.96 20.19
1 256 247.44 9.79 25.27

#2013-10-23#

####The 1st release####

  1. You need a CUDA library to compile the code.
  2. Only accelsearch is GPUed. To run accelsearch on GPU, use the -cuda option. Or the program will run on CPU. For example: accelsearch -numharm 16 -zmax 256 ur_data.dat -cuda 0, 0 means the 1st GPU in your machine.

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A GPU accelerated branch of presto, open source pulsar search and analysis toolkit. http://www.cv.nrao.edu/~sransom/presto/

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