The blood samples from two similar bodies are taken, of which one is affected by disease and the other is not. Then, the DNA of the subjects is collected from the blood samples and further study of the structures is done by trying to find the SNPs. Then those gaps are studied thoroughly, and a solution is found.
This process requires fewer human resources. Hence, it is cost-effective. Here, precision is the key to success. Even a small calculation error 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 and NVBLAS libraries have been used to achieve this feat. We also support the OpenCL platform using ArrayFire’s OpenCL at the backend.