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Silver GST Invoice,Job Work and Stock Management Software
Silver Ornament stock system
Plastic Strap manufacturing product management
ERP for jewelry Manufacturing Unit
Invoice and Salary slip Printing system
Invoice management system
Automatic Password Changer
Advocate Record management system
Barcode Lable Generator
Project for Bhavesh V.
“Best Freelancer to work with and very professional.”shvanm1994 last week
C# project needs some changes
“Perfectly delivered on time and high quality product. Can't complain at all.”shvanm1994 4 weeks ago
“He is an expert and very professional”migalinks21 5 months ago
Customize C# desktop aplicatin
“Expert developer also patient hire him again”Mowled 5 months ago
Writing 600 multiple choice questions in C#
“good job in time”project56 11 months ago
Create a Multiple Choice Test in .NET -- 2
“Good job in time”project56 11 months ago
Project ManagerJun 2015
i have worked with almost many development languages project.
Bachelor of Engineering2009 - 2013 (4 years)
Master in Technology2013 - 2015 (2 years)
Code Trouble shoot (2015)RK University
Code hunt event held at RKU.
C Certified Developer (2010)Aptech
Certificate for C language.
A Review on Image Compression in Parallel using CUDA
Now a days images are prodigiously and sizably voluminous in size. So, this size is not facilely fits in applications. For that image compression is require. Image Compression algorithms are more resource conserving. It takes more time to consummate the task of compression. Utilizing Parallel implementation of the compression algorithm this quandary can be overcome. CUDA (Compute Unified Device Architecture) Provides parallel execution for algorithm utilizing the multi-threading.
Parallel Image Compression using CUDA with Median Filter
Images are becoming bulkier in size. This size is not physible for use with the many of the application. To make usable this bulkier image size must be reduced by image compression algorithm. Image Compression algorithms are resource and time conservative. Time can be reduced by the providing more resources to the compression algorithm. By Parallel execution this goal can be achieved. CUDA (Compute Unified Device Architecture) provides a platform for the parallel implementation of the algorithm.
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