Author

Gopalakrishnan Srinivasan

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Preprint Nov 2025

NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference

Sparse DNN accelerators specialize in ANN or SNN execution, leaving energy or latency on the table when workload characteristics vary within a layer. Hybrid accelerator designs that switch modes at layer or tile granularity suffer from low PE utilization since one core type idles whenever the other is active. NeuroFlex...

Varun Manjunath, P. Ramesh, Gopalakrishnan Srinivasan · 0 citations

Preprint Aug 2026

APEX: A Dual-Sparsity Accelerator for Precise and Efficient SNN Inference

APEX is presented, a dual-sparsity SNN inference accelerator that integrates the PASC-IF neuron into the LoAS hardware framework, and guarantees mathematical equivalence between the converted SNN and the source ANN, thereby achieving ANN-equivalent accuracy at significantly reduced timesteps.

Devgokul Bawa Venkatesh, S. Radhakrishnan, Rajshekhar Rakshit et al. · 0 citations