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Image Processing with pyCUDA

by Manish Kumar Shukla (speaking)

Section
Scientific Computing
Technical level
Beginner

Objective

Learn how to write parallel code with pyCUDA.

Description

Talk focuses use of libraries like
numpy
scipy
matplotlib
and pyCUDA for information extraction from an image.

Requirements

A Linux Machine with NVIDIA GPU
Python 2.6+
CUDA 5.5

Speaker bio

3rd year dual degree(B.tech cs + MS Computational Natural Sciences)
student at IIIT Hyderabad.
As my summer project I have worked on image processing with pyCUDA for Digital in-line holographic microscopy
and currently working on optimization techniques for parallel programming.

Comments


  • 1

    [-] Mrinmoy Das 597 days ago

    looking forward to this


  • 1

    [-] Prateek 593 days ago

    Great Initiative !
    Good Luck!!


  • 1

    [-] Anand Chitipothu 574 days ago

    Hi Manish,

    Can you please provide link to your work, your github, your website/blog?

    If you have spoken at any other conference before, please mention those as well.

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