Managing Complex Workflows in Bioinformatics: An Interactive Toolkit With GPU Acceleration

摘要: Bioinformatics research continues to advance at an increasing scale with the help of techniques such as next-generation sequencing and availability tool support automate bioinformatics processes. With this growth, a large amount biological data gets accumulated unprecedented rate, demanding high-performance high-throughput computing technologies for processing datasets. Use hardware accelerators, graphics units (GPUs) distributed computing, accelerates big in environments. They enable higher degrees parallelism be achieved, thereby throughput. In paper, we introduce BioWorkflow, interactive workflow management system analyses capability scheduling parallel tasks use GPU-accelerated computing. This paper describes case study carried out evaluate performance complex branching executed by BioWorkflow. The results indicate gains $\times 2.89$ magnitude utilizing GPUs speed average 2.832$ (over $n = 5$ scenarios) execution graph nodes during multiple sequence alignment calculations. Combined speed-ups are achieved 1.71$ times workflows. confirms expected when having through GPU-acceleration concurrent than mainstream sequential execution. also provides comprehensive user interface better interactivity managing workflows; usability score 82.9 is confirmed high system.