This project was a part of M.Tech final semester curriculum. In this project parallelization of applications of San Diego Vision Benchmark(SD-VBS) is carried out on GPU and optimization in terms of execution time. The project was implemented in CUDA C and the performance was analyzed to make an automatic parallel code generation tool.
This project was a part of M.Tech third semester curriculum. In this project comprehensive study of lockfree data structure was presented and the implementation feasibility on GPU using NVIDIA CUDA was carried out.
The topic included the working principle, advantages over the ordinary transmissions and reception of signal using encryption and its applications in the field of data communication.
This project was developed in J2EE as front end language and ORACLE as backend as a B.E final year project at A.D Patel Institute of technology.
This project was developed as part of curriculum of Computer Application and Business with VB6 and MS Access.