FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization

Research article (IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023) · cited 63× · AI/ML
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FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization

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FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/firefly-a-high-throughput-hardware-accelerator-for-spiking-neural-networks-with-efficient-dsp-and-memory-optimization
MLA “FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/firefly-a-high-throughput-hardware-accelerator-for-spiking-neural-networks-with-efficient-dsp-and-memory-optimization.
BibTeX @misc{4ortxyz_firefly-a-high-throughput-hardware-accelerator-for-spiking-neural-networks-with-efficient-dsp-and-memory-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization}}, year = {2026}, url = {https://4ort.xyz/entity/firefly-a-high-throughput-hardware-accelerator-for-spiking-neural-networks-with-efficient-dsp-and-memory-optimization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization — https://4ort.xyz/entity/firefly-a-high-throughput-hardware-accelerator-for-spiking-neural-networks-with-efficient-dsp-and-memory-optimization (retrieved 2026-05-24)

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