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cs.LG2025
Enabling Long FFT Convolutions on Memory-Constrained FPGAs via Chunking
Peter Wang, Neelesh Gupta, Viktor Prasanna
The need for long-context reasoning has led to alternative neural network architectures besides Transformers and self-attention, a popular model being Hyena, which employs causal 1…
cs.LG2024★ 4 cited
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan +1
Deep neural networks (DNNs) have proven to be effective models for accurate Memory Access Prediction (MAP), a critical task in mitigating memory latency through data prefetching. H…