Golden Recursion Inc. logoGolden Recursion Inc. logo
Advanced Search
GPU computing

GPU computing

GPU computing is the use of GPU (graphic processing units) and CPU (central processing units) to perform compute-intensive assignments faster than conventional CPUs.

GPU computing is the use of graphics processing units (GPU) and central processing units (CPU) to perform scientific calculations, engineering computation, and the processing of large volumes of data. GPUs have massive parallel architecture. By using GPUs, the completion of computationally intensive assignments that benefit from parallel computation is faster compared with conventional central processing units (CPUs).

Due to the increased clock speeds now present in modern GPUs, coupled with optimized parallel architectures, GPU computing is now being utilized by computer scientists and researchers for high-performance computing (HPC). This work was traditionally performed by a CPU using specialized chips known as general-purpose computing on graphics processing units (GPGPU).

Timeline

Further Resources

Title
Author
Link
Type
Date

GPU Computing

John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone and James C. Phillips

Academic paper

News

Title
Author
Date
Publisher
Description
By Ryan Morrison For Mailonline
March 16, 2020
Mail Online
The 'Fold@Home' technology involves users downloading an app for their PC hat runs in the background, letting it use any processing power they're not using.
Bob O'Donnell
October 22, 2019
TechSpot
The concept of putting more computing power closer to where applications are occurring, commonly referred as "edge computing", has been talked about for a long time. After all, it makes logical sense to put resources nearer to where they're actually...

References

Golden logo
By using this site, you agree to our Terms & Conditions.