Device and method for real-time and lightweight gpu workload tracing and bottleneck analysis
AssigneeKorea University Research and Business Foundation
InventorsMinchul KANG, Younghun GO, Chuck YOO, Gyeongsik YANG
Life of this patent
Estimating the term…
Abstract
Disclosed is a device and method for real-time lightweight graphics processing unit (GPU) workload tracing and bottleneck detection. A GPU workload tracing and bottleneck detection method performed by a computing device including a processor may include executing the GPU workload, acquiring application programming interface (API) argument information by hooking a predetermined API during execution of the GPU workload, and detecting a bottleneck phenomenon using the acquired argument information.
Claims11
A graphics processing unit (GPU) workload tracing and bottleneck detection method performed by a computing device including a processor, the method comprising:
- executing the GPU workload;
- acquiring application programming interface (API) argument information by hooking a predetermined API during execution of the GPU workload;
- and
- detecting a bottleneck phenomenon using the acquired argument information.
Dependencies are inferred from the claim text.