Abstract: Processing in-memory breaks von Neumann-based constructs to accelerate data-intensive applications. Noteworthy efforts have been devoted to executing Boolean logic using digital in-memory ...

Abstract: Field-Programmable Gate Array (FPGA) accelerators have proven successful in handling latency- and resource-critical deep neural network (DNN) inference tasks. Among the most computationally ...