The high performance requirements of nowadays computer networks are limiting their ability
to support important requirements of the future. Two important properties essential in …

Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm for
heterogeneous computing, potentially delivering orders of magnitude better peak …

This paper makes a comparative analysis between dual row and dual array mixed-signal
neural network architectures through the use of a case study. Dual row and dual array …

Data transfer between the processing and storage units has become a significant bottleneck
in modern von Neumann computing systems for artificial intelligence (AI) tasks. Computing …

The Internet heavily relies on packet processors for establishing the communication links
between senders and receivers of network traffic. Despite their promising performance, the …

A novel compilation of non-ideal characteristics which accompany hardware realizations of
machine learning algorithms in the form RRAM-based neuromorphic ASIC processors is …