CUDA project
Budget: ₹600 – ₹1,500 INR
We are looking for an experienced programmer who can convert the existing C code into CUDA C. The code is currently used to perform computations on a CPU, and we want to take advantage of the parallel processing capabilities of GPUs to speed up these computations.
The ideal candidate should have:
Strong expertise in CUDA C programming
Good knowledge of C programming
Familiarity with parallel programming concepts
Experience with performance optimization techniques for GPU programming
The scope of work includes:
Analyzing the existing C codebase to identify the sections that can be parallelized using CUDA
Implementing the necessary changes to the codebase to use CUDA C
Testing and validating the converted code to ensure that it produces correct results
The successful candidate should be able to work independently and deliver high-quality code within the agreed timeframe.
The ideal candidate should have:
Strong expertise in CUDA C programming
Good knowledge of C programming
Familiarity with parallel programming concepts
Experience with performance optimization techniques for GPU programming
The scope of work includes:
Analyzing the existing C codebase to identify the sections that can be parallelized using CUDA
Implementing the necessary changes to the codebase to use CUDA C
Testing and validating the converted code to ensure that it produces correct results
The successful candidate should be able to work independently and deliver high-quality code within the agreed timeframe.