The blood samples of two similar bodies are taken, of which one is affected by disease and the other is not. Then, the DNA of the subjects are collected from the blood samples and further study of the structures are done by trying to find the SNP’s, then those gaps are studied thoroughly, and a solution is found.
This process requires less number of human resources. Hence, it is cost effective. Here, precision is the key to success. Even a small error in calculation can cost lives.
We use CUDA libraries to leverage GPU acceleration and harness 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 the OpenCL platform using ArrayFire’s OpenCL at backend.