GPU Acceleration in Scientific Computing: Challenges and Opportunities

EasyChair Preprint no. 10989

Abstract

"GPU Acceleration in Scientific Computing: Challenges and Opportunities" is a concise and informative title that suggests your research paper will explore both the obstacles and potential advantages of using GPUs in scientific computing. It sets a clear expectation for the content of your paper and should pique the interest of readers in the field. Portable virus detection tools play a crucial role in rapid response to infectious disease outbreaks. However, the speed and accuracy of these tools can be limited by computational constraints. In this article, we delve into the acceleration of portable virus detection methods using GPU technology. By leveraging the computational power of GPUs, these tools can process and analyze viral genetic data more swiftly, enabling faster and more accurate virus detection in the field.

Keyphrases: acceleration, CPU, GPU

@Booklet{EasyChair:10989,
  author = {Laib Ghafoor and Fatima Tahir},
  title = {GPU Acceleration in Scientific Computing: Challenges and Opportunities},
  howpublished = {EasyChair Preprint no. 10989},

  year = {EasyChair, 2023}}