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Rakesh R Tyagi

Algorithm optimization, Mathematical modeling & High Performance Computing

Username: sweetatyagiaz

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Location: New Delhi, India

Member since: June 2011



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    Rakesh R Tyagi has not completed any projects.
    Rakesh R Tyagi has not completed any projects.
  • ₹1500 INR In Progress

    Dear Friend Please provide me your email or phone no, we want to discuss about project on GPS tracking software, Hardware and web development (Php) Gaurav gauravs.iitd at gmail

  • $930 USD Jun 30, 2012

    [This is a Private Project. You must be logged in to view the Project Description]

  • [Sealed] Apr 4, 2012

    ALL IMPLEMENTATIONS SHOULD NOT BE COPIED OR TAKEN FROM INTERNET ! ALL SHOULD BE MADE BY FREELEANCER STARTING FROM EMPTY PROJECT FILE. THE SOURCE SHOULD BE AS SIMPLE TO UNDERSTAND AS POSSIBLE ! NO ERROR CATCHINGS OR ANY OTHER NOT RELEVANT THINGS.I need a very detailed tutorial how to implement a dynamic programming algorithm (of my choose) first normally on CPU, than parallel on CPU and last how to make it work faster as a praller application on a GPU. I need it to be done in CUDA - Visual Studio 2010. Plus make comparison of the speed to the CPU implementation versions.ALGORITHM WILL COMPARE 2 LONG SEQUENCES SO IT IS ENOUGH IF COMPARISON PART IF ALGORITH IS MADE PARALLEL FOR FORST IMLEMENTATION - LATER I HOPE FOR LONG COOPERATION.Tutorial must be very datailed, written so that person with no knowledge on programming on CUDA could learn and make both the programs workable by him/her self.So I need a tutorial that will let me implement the algorithm normally that will work on CPU and than how to optimalize to work parallel on CPU and implement it in CUDA. Step by step from the very scratch like installation of CUDA or compiler etc. So not only codes to copy and paste should be in tutorial but also description of algorithms and optimalizations and what thay do etc. There will be a lot of comparisons in the algorithm as far as i know. The final app should first do the algorithm on CPU than on GPU and show results and compare computing times. In points:1> create a detailed tutorial about programming CUDA in our Project.2> analyze the Algorithm Implementation and how to program it and optimize for GPGPU3> implement the algorytmik on CPU.4> implement the algorithm on GPU.5> compare and create performance function for both the implementations and also mention optimized solutions for future.

    Rakesh R Tyagi does not have any open projects.
    Rakesh R Tyagi does not have any work in progress.
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Jr. Research Scientist

Sep 2009 - Present (4 years)

IIT Delhi

The objective of this project is to provide rainfall and temperature forecast for monthly and seasonal scale for all India domain for monsoon season. My work in this project is to develop a model and interface for forecast system and for its validation.


Mar 2007 - Jun 2009 (2 years)


It is a dream project of company. Company also got a US Patent in July 7, 2009 having patent no 7558713B2 for this project. The objective of the project is to automate the Manifold Design up to twelve cavities. Cavity is nothing but it is a cylinder fitted in Metallic box. It takes desire Input from XML and output is also in a XML file. Auto router places each cavity in proper position in minimum volume (compacted) and also fit in specified cross section. This project is like an EDA (Electronic Design Autom


MS(Computer Science)

Indian Institute of Technology, Delhi


Master of Computer Science(MCS)

Jamia Hamdard


Bachelor of Computer Application (BCA)

Makhanlal Chaturvedi Rashtriya Patrakarita Vishwavidhyalaya