Reconfigurable accelerators, like CGRAs and dataflow architectures, have come to
prominence for addressing data-processing problems. However, they are largely limited to …

Tensors play a vital role in machine learning (ML) and often exhibit properties best explored
while maintaining high-order. Efficiently performing ML computations requires taking …

Specialized accelerators are increasingly attractive solutions to continue expected
generational performance scaling with slowing technology scaling. Existing programmable …