Editing The Graphics Card as a Stream Computer

Title: The Graphics Card as a Stream Computer

Research Question: Can a graphics card, traditionally used for rendering 2D and 3D images, be utilized as a stream computer for processing large data sets?

Methodology: The study investigates the potential of graphics cards as stream computers by analyzing their architecture, capabilities, and limitations. It compares the performance of graphics cards to traditional CPUs and examines the suitability of graphics cards for stream computing applications.

Results: The research found that graphics cards have a stream-like architecture, which allows them to process large data sets efficiently. They have a high degree of parallelism and can perform many computations in a short amount of time. The study also revealed that graphics cards can be used as a general-purpose stream co-processor, offering significant speed-ups for certain types of computations.

Implications: The findings suggest that graphics cards can be used as stream computers for processing large data sets. This opens up new possibilities for using graphics cards in applications beyond rendering, such as data analysis, machine learning, and scientific simulations. The study also highlights the need for further research to fully realize the potential of graphics cards as stream computers.

Link to Article: https://arxiv.org/abs/0310002v2
Authors: 
arXiv ID: 0310002v2

[[Category:Computer Science]]
[[Category:Graphics]]
[[Category:Stream]]
[[Category:Cards]]
[[Category:As]]
[[Category:Can]]