#CUDAICA

##What is CUDAICA? Is an implementation of Infomax ICA made on CUDA.

##What is Infomax ICA? Infomax ICA is an algorithm to perform Independent Component Analysis

##Requirements

###Hardware

• A CUDA enabled GPU
• Enough RAM!

###Software

• Cuda Toolkit: 4.0+ required
• GCC
• Autotools, Autoconf and M4
• GFORTRAN compiler
• BLAS library

##Installation

1. Download the source code
2. Configure
3. Make

###Advanced configurations options Additionaly, when configuring the source code, the following options can be passed to the configure script:

• –-with-cuda: Use specified path as cuda base directory. Example: –with-cuda=/opt/cuda. Default: /usr/local/cuda.
• –-with-cuda-arch: Generate cudaica for the specified cuda compute capability. Options are:
  • 11 = Compute Capability 1.1
  • 12 = Compute Capability 1.2
  • 13 = Compute Capability 1.3
  • 20 = Compute Capability 2.0 (default)
  • 21 = Compute Capability 2.1
  • 30 = Compute Capability 3.0
  • 32 = Compute Capability 3.2
  • 35 = Compute Capability 3.5
  • 50 = Compute Capability 5.0
  • 52 = Compute Capability 5.2
  • 53 = Compute Capability 5.3
• –-with-double: Enables or disables double precision floating point. Options are:
  • yes (default)
  • no
• –-enable-debug: Enable debugging features and use specified level. Generates executable with debugging symbols and nvcc shows extra information. Example –enable-debug=2.
  1. Function calls.
  2. Memory alloc information.
  3. Function calls inside iterations.
• --enable-python: Enables python bindings (default=disabled)

More information LIAA website

Cite

Raimondo, Federico, Juan E. Kamienkowski, Mariano Sigman, and Diego Fernandez Slezak. “CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis.” Computational Intelligence and Neuroscience 2012 (2012).