Re: Using the GPU
От | Alejandro Torras |
---|---|
Тема | Re: Using the GPU |
Дата | |
Msg-id | 4670722E.6030005@yahoo.es обсуждение исходный текст |
Ответ на | Re: Using the GPU (Alejandro Torras <atec_post@yahoo.es>) |
Список | pgsql-general |
Alejandro Torras wrote: > Billings, John wrote: >> Does anyone think that PostgreSQL could benefit from using the video >> card as a parallel computing device? I'm working on a project using >> Nvidia's CUDA with an 8800 series video card to handle non-graphical >> algorithms. I'm curious if anyone thinks that this technology could >> be used to speed up a database? If so which part of the database, >> and what kind of parallel algorithms would be used? >> > > Looking at nvidia's cuda homepage > (http://developer.nvidia.com/object/cuda.html), I see that the > parallel bitonic sorting could be used instead of > qsort/heapsort/mergesort (I don't know which is used) > I think that the function cublasIsamax() explained at http://developer.download.nvidia.com/compute/cuda/0_8/NVIDIA_CUBLAS_Library_0.8.pdf can be used to find the maximum of a single precision vector, but according with a previous post of Alexander Staubo, this function is best suited for fixed-length tuple values. But could the data be separated into two zones, one for varying-length data and other for fixed-length data? With this approach fixed-length data may be susceptible for more and deeper optimizations like parallelization processing. -- Alejandro Torras
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