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cs.AR2026
Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators
Olga Krestinskaya, Mohammed E. Fouda, Ahmed Eltawil +1
Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization frameworks target a…
cs.AR2026
Sparsity-Aware Streaming SNN Accelerator with Output-Channel Dataflow for Automatic Modulation Classification
Kuilian Yang, Li Zhang, Ahmed M. Eltawil +1
The rapid advancement of wireless communication technologies, including 5G, emerging 6G networks, and the large-scale deployment of the Internet of Things (IoT), has intensified th…
cs.AR2024
Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
Olga Krestinskaya, Mohammed E. Fouda, Ahmed Eltawil +1
Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perfor…