Abstract: Applications such as Graph Convolutional Networks (GCNs) and Deep Learning Recommendation Models (DLRMs) have computational and data-movement requirements beyond those seen in typical NN ...
Abstract: Compute-in-memory (CIM), where information can be processed and stored at the same locations, is emerging as a promising paradigm to address the memory wall bottleneck in traditional Von ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results