APU Performance Evaluation for Accelerating Computationally Expensive Workloads | Zendy

Ernesto Rivera-Alvarado | Zendy; Francisco J. Torres-Rojas | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

APU Performance Evaluation for Accelerating Computationally Expensive Workloads

Author(s) -

Ernesto Rivera-Alvarado,

Francisco J. Torres-Rojas

Publication year - 2020

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2020.02.015

Subject(s) - computer science , workload , graphics , tracing , central processing unit , range (aeronautics) , parallel computing , ray tracing (physics) , operating system , engineering , physics , quantum mechanics , aerospace engineering

APUs (Accelerated Processing Units) are widely available in personal computers as low-cost processors that have a CPU and an integrated GPU for displaying graphics, in the same die. Using a ray tracing algorithm as a computationally intensive workload and taking advantage of the APU specific characteristics, we compare the performance of this SoC against CPU and GPU solutions in the same price range.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research