Benchmarking Complex Multiplication in Signal Processing Using Intel OneAPI: A Comparative Study on CPU, GPU and FPGA Performance

The efficiency of complex multiplication in signal processing is investigated in this study on three hardware platforms: CPU, GPU, and FPGA. A unified codebase was created to assess and contrast the efficiency and speed of execution on each platform by utilizing Intel oneAPI. The analysis highlights the disparities in parallel processing capabilities between conventional CPUs and the specialized architectures of GPUsand FPGAs, with a particular emphasis on their performance in intricate multiplication tasks. The findings offer practical insights into the selection of the most suitable hardware for real-time signal processing, elucidating the strengths and limitations ofeach platform.

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Published
2024-12-11
DOI
https://doi.org/10.1109/icscna63714.2024.10864182
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Benchmarking Complex Multiplication in Signal Processing Using Intel OneAPI: A Comparative Study on CPU, GPU and FPGA Performance

T.S. Balaji, A. F. M. Suaib Akhter, C. R. Vishnu, B. Bhuvanesan et al.
Quantum Computing Algorithms and Architecture
article

Benchmarking Complex Multiplication in Signal Processing Using Intel OneAPI: A Comparative Study on CPU, GPU and FPGA Performance

T.S. Balaji, A. F. M. Suaib Akhter, C. R. Vishnu, B. Bhuvanesan, G. Revanth
article en

Abstract

The efficiency of complex multiplication in signal processing is investigated in this study on three hardware platforms: CPU, GPU, and FPGA. A unified codebase was created to assess and contrast the efficiency and speed of execution on each platform by utilizing Intel oneAPI. The analysis highlights the disparities in parallel processing capabilities between conventional CPUs and the specialized architectures of GPUsand FPGAs, with a particular emphasis on their performance in intricate multiplication tasks. The findings offer practical insights into the selection of the most suitable hardware for real-time signal processing, elucidating the strengths and limitations ofeach platform.

SRM Institute of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 75%
Quantum Computing Algorithms and Architecture
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