A full spectrum of computing-in-memory technologies
Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to
provide sustainable improvements in computing throughput and energy efficiency …
provide sustainable improvements in computing throughput and energy efficiency …
A review of resistive switching devices: performance improvement, characterization, and applications
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …
processing are in great demand. The resistive switching device is an emerging device with …
A scalable multicore architecture with heterogeneous memory structures for dynamic neuromorphic asynchronous processors (DYNAPs)
Neuromorphic computing systems comprise networks of neurons that use asynchronous
events for both computation and communication. This type of representation offers several …
events for both computation and communication. This type of representation offers several …
Hybrid SDN networks: A survey of existing approaches
Software defined networking (SDN) decouples the control plane from the data plane of
forwarding devices. This separation provides several benefits, including the simplification of …
forwarding devices. This separation provides several benefits, including the simplification of …
Compute caches
This paper presents the Compute Cache architecture that enables in-place computation in
caches. Compute Caches uses emerging bit-line SRAM circuit technology to re-purpose …
caches. Compute Caches uses emerging bit-line SRAM circuit technology to re-purpose …
Computing in memory with spin-transfer torque magnetic RAM
In-memory computing is a promising approach to addressing the processor-memory data
transfer bottleneck in computing systems. We propose spin-transfer torque compute-in …
transfer bottleneck in computing systems. We propose spin-transfer torque compute-in …
Photonic (computational) memories: tunable nanophotonics for data storage and computing
The exponential growth of information stored in data centers and computational power
required for various data-intensive applications, such as deep learning and AI, call for new …
required for various data-intensive applications, such as deep learning and AI, call for new …
[HTML][HTML] In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Software defined optical networks (SDONs): A comprehensive survey
The emerging software defined networking (SDN) paradigm separates the data plane from
the control plane and centralizes network control in an SDN controller. Applications interact …
the control plane and centralizes network control in an SDN controller. Applications interact …
Survey on network virtualization hypervisors for software defined networking
Software defined networking (SDN) has emerged as a promising paradigm for making the
control of communication networks flexible. SDN separates the data packet forwarding …
control of communication networks flexible. SDN separates the data packet forwarding …