Computational Molecular Biology 2025, Vol.15, No.3, 151-159 http://bioscipublisher.com/index.php/cmb 156 each node only has a 24-core CPU and 128GB of memory, but it has two additional NVIDIA T4 Gpus. Both are equipped with parallel file systems and SSD storage to cope with frequent read and write operations (Dongarra et al., 2020). Although the GPU models and storage performance are different, both systems can run multiple mutation detection tasks simultaneously. The addition of GPU also enables us to embed deep learning modules into the analysis process, which is not common in traditional HPC environments. Figure 1 Automated and flexible genome variant calling workflow (GVCW) design for a HPC systems and b diversified system architectures
RkJQdWJsaXNoZXIy MjQ4ODYzNA==