Generally, the blood samples of two similar bodies are taken in which one is affected with disease and then the blood samples are torn into pieces where we collect the DNA of the subject and study the structure and find SNP’s then those gaps are studied thoroughly, and a solution is drawn.
This process requires high amount of man power and is cost affective, this even require precision as even one small calculation error can cost our lives.
We use CUDA libraries to leverage GPU acceleration and harnessing the enormous computing power of Nvidia’s graphics processing units. Our tools are built to run on a GPU cluster and try to exploit the massively parallel architecture of GPUs. OpenMPI and Nvidia’s NCCL, NVBLAS libraries have been used to achieve this feat. We also support OpenCL platform using ArrayFire’s OpenCL backend.