Abstract: Transformer-based neural networks have achieved remarkable performance. Designing energy-efficient and high-speed accelerators for the attention mechanism, which dominates the energy and ...
Currently many operations in wp.sparse modify the end matrix topology, using CUB-backed reductions that require temporary storage allocations under the hood. As a result, then cannot be captured in ...
Abstract: The WMMSE beamforming algorithm is a popular approach to address the NP-hard weighted sum rate (WSR) maximization beamforming problem. Although it efficiently finds a local optimum, it ...
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