Abstract: A parallel object detection method for heterogeneous microarchitectures. The method is designed for increasing the throughput of object detection in a computer system that is equipped with an array of cores including a shared memory, a constant memory, and functional units. Latency reduction is achieved through a multilevel parallelization method that exploits fine-grain data-level parallelism using multithreaded SIMD computations, and coarse-grain parallelism by relying on concurrent kernel execution.
Type:
Grant
Filed:
March 15, 2012
Date of Patent:
January 12, 2016
Assignee:
HERTA SECURITY, S.L.
Inventors:
David Oro García, Carles Fernández Tena, Javier Rodríguez Saeta
Abstract: A parallel object detection method for heterogeneous microarchitectures. The method is designed for increasing the throughput of object detection in a computer system that is equipped with an array of cores including a shared memory, a constant memory, and functional units. Latency reduction is achieved through a multilevel parallelization method that exploits fine-grain data-level parallelism using multithreaded SIMD computations, and coarse-grain parallelism by relying on concurrent kernel execution.
Type:
Application
Filed:
March 15, 2012
Publication date:
September 19, 2013
Applicant:
HERTA SECURITY, S.L.
Inventors:
David Oro García, Carles Fernández Tena, Javier Rodríguez Saeta