biostudies-literaturePilipovic RJavna Agencija za Raziskovalno Dejavnost RS4195https://www.ebi.ac.uk/biostudies/studies/S-EPMC8234017biostudies-literatureUnknown21(12)Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design. Approximate computing has emerged as a popular strategy for energy-efficient circuit design, where the challenge is to achieve the best tradeoff between design efficiency and accuracy. The essential operation in artificial intelligence algorithms is the general matrix multiplication (GEMM) operation comprised of matrix multiplication and accumulation. This paper presents an approximate general matrix multiplication (AGEMM) unit that employs approximate multipliers to perform matrix-matrix operations on four-by-four matrices given in sixteen-bit signed fixed-point format. The synthesis of the proposed AGEMM uniSensors (Basel, Switzerland)An Approximate GEMM Unit for Energy-Efficient Object Detection.PMC8234017P2-0359BI-BA/19-20-047P2-0241Bulic PLotric URisojevic VPilipovic RBozic JfalseAn Approximate GEMM Unit for Energy-Efficient Object Detection.Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design. Approximate computing has emerged as a popular strategy for energy-efficient circuit design, where the challenge is to achieve the best tradeoff between design efficiency and accuracy. The essential operation in artificial intelligence algorithms is the general matrix multiplication (GEMM) operation comprised of matrix multiplication and accumulation. This paper presents an approximate general matrix multiplication (AGEMM) unit that employs approximate multipliers to perform matrix-matrix operations on four-by-four matrices given in sixteen-bit signed fixed-point format. The synthesis of the proposed AGEMM uni2021-01-01T00:00:00Z2021 Jun2025-04-18T19:13:05.349Z2022-02-10T18:05:17.69ZS-EPMC82340173420729510.3390/s21124195