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Found 2 papers, 1 papers with code
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
To overcome this limitation, we explore sparse and recurrent model training on a massively parallel multiple instruction multiple data (MIMD) architecture with distributed local memory.
Intelligence Processing Units Accelerate Neuromorphic Learning
Spiking neural networks (SNNs) have achieved orders of magnitude improvement in terms of energy consumption and latency when performing inference with deep learning workloads.
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