Friends:
I am reltive new to CUDA and GPU. I am trying to implement some signal processing algorithms on NVIDIA GPU using CUDA. But I am still not sure out of the various series of CUDA -Emabled NVIDIA GPUs, which one should I buy. It should be optimum in terms of cost and performanace. Basically I would be doing following calculations:
Generation of wideband signals
• Conversion of time domain signals into
frequency domain via FFT.
• Compute 64 sets of 64-point FFT
• Computation of 33 covariance matrices in
frequency domain.
• Computation of eigenvalues and eigenvectors
• Computation of initial estimates of number of
sources
• Computation of initial estimates of DOA
• Computation of 33 transformation matrices and
focusing on central frequency
• Computation of eigenvalues and eigenvectors
• Computation of number of sources
• Computation of final estimates of DOA
Can any one of you please let me know which of the CUDA-compatible NVIDIA’s GPUs will be best options. CUDA compatible GPUs are lsited here: [url=“CUDA GPUs - Compute Capability | NVIDIA Developer”]http://www.nvidia.com/object/cuda_learn_products.html[/url]
My budget is between $200-500
Thanks in advance,
Heshsham
heshsham2001@yahoo.co.in