Investigation on Introduction to Heterogeneous Exascale Computing in the Medical Field
M. Pyingkodi, Raju Shanmugam, Dilip Kumar Sharma, Deepesh Lall, S. Deepan, B. Dasu · 2024
The possibility for heterogeneous exascale computing in the medical industry is examined in this study. The study especially examines the benefits of combining CPUs, GPUs, and FPGAs to attain exascale efficiency. The study also looks at how the use of exascale computing in the medical field can enhance patient treatment by enhancing the precision and efficiency of diagnosis and research. The study also looks at the possible drawbacks of heterogeneous exascale computing, including its cost, power requirements, and the complexity of writing programs that work across various frameworks. The study then discusses possible solutions to these problems, including the use of high-level programming languages and open-source advancement techniques. The prospective advantages of heterogeneous exascale computing in healthcare are outlined in the paper's conclusion, along with future research paths.