IMPLEMENTATION OF FDTD-COMPATIBLE GREEN'S FUNCTION ON HETEROGENEOUS CPU-GPU PARALLEL PROCESSING SYSTEM

Implementation of Fdtd-compatible Green’s Function on Heterogeneous Cpu-gpu Paral- Lel Processing System

This paper presents an implementation of the FDTDcompatible Green’s function on a heterogeneous parallel processing system. The developed implementation simultaneously utilizes computational power of the central processing unit (CPU) and the graphics processing unit (GPU) to the computational tasks best suited for each architecture. Recently, closed-form expression for this discrete Green’s fun...

Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment

GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when mat...

Implementation of the direction of arrival estimation algorithms by means of GPU-parallel processing in the Kuda environment (Research Article)

Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...

Scalability and Parallel Execution of OmpSs-OpenCL Tasks on Heterogeneous CPU-GPU Environment

With heterogeneous computing becoming mainstream, researchers and software vendors have been trying to exploit the best of the underlying architectures like GPUs or CPUs to enhance performance. Parallel programming models play a crucial role in achieving this enhancement. One such model is OpenCL, a parallel computing API for cross platform computations targeting heterogeneous architectures. Ho...

Runtime specialization for heterogeneous CPU-GPU platforms