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Open access 2026

FPGA-Based Softmax Approximation: Analytical Cost–Error Modeling and Pareto Optimization

The softmax function is a significant bottleneck in FPGA-based Transformer inference. This paper presents a comprehensive analytical framework for the design and optimization of base-2 softmax on FPGAs through systematic design-space exploration. We derive a high-accuracy LUT6 cost model that captures all major pipelin...

Mouna Djellouli, Amirhossein Zarei, Atik Mahabub et al. · 0 citations
Jul 2026

A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference

This paper presents SparHiXcel-v2, a cost-effective and highly configurable FPGA-based CNN accelerator that achieves an improved balance between sparsity flexibility and hardware efficiency and proposes a hardware-algorithm co-design framework that enables efficient handling of irregular sparsity patterns with minimal...

Amirhossein Zarei, S. Vakili · 0 citations

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