COMET co-optimizes CNN inference via OBC Schemes A/B on inputs/weights, four LUT techniques, and an im2col-based GEMM core to deliver efficient FPGA deployment with negligible accuracy loss on LeNet-5 and All-CNN-C.
Performance analysis and optimization of distributed arithmetic-based convolutional algorithms for FIR filters on FPGA,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
COMET: Co-Optimization of a CNN Model using Efficient-Hardware OBC Techniques
COMET co-optimizes CNN inference via OBC Schemes A/B on inputs/weights, four LUT techniques, and an im2col-based GEMM core to deliver efficient FPGA deployment with negligible accuracy loss on LeNet-5 and All-CNN-C.