Accelerating Scientific Discovery: The Role of GPU Computing in Research and Development

Abstract

This paper discusses the transformative role of GPU computing in scientific research and the impacts of its effect on computational efficiency, data-intensive tasks, and methodological innovation. Five questions guide this research: what are the computational advantages of GPUs, their role in data-intensive research, the influence on methodologies, challenges of adoption of GPU, and the long-term implications for scientific progress. Qualitatively, involving case studies and expert interviews, the findings suggest that GPUs make a very significant contribution to the acceleration of research efficiency and innovation. Despite such barriers as the limited accessibility and expertise issues, efforts for democratizing GPU technology and assimilation into research processes, again, hold much promise. The study illustrates how GPUs can sustain their efforts in driving breakthroughs in domains like genomics, neuroscience, and climate modeling, while advocating the continued investment into training and resource development.