Large-scale neuromorphic spiking array processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …
processing that are inspired by neurobiological systems, and this feature distinguishes …
A modern primer on processing in memory
Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …
design choice goes directly against at least three key trends in computing that cause …
Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
The roadmap of 2D materials and devices toward chips
A Liu, X Zhang, Z Liu, Y Li, X Peng, X Li, Y Qin, C Hu… - Nano-Micro Letters, 2024 - Springer
Due to the constraints imposed by physical effects and performance degradation, silicon-
based chip technology is facing certain limitations in sustaining the advancement of Moore's …
based chip technology is facing certain limitations in sustaining the advancement of Moore's …
The building blocks of a brain-inspired computer
JD Kendall, S Kumar - Applied Physics Reviews, 2020 - pubs.aip.org
Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …
years, but those improvements have significantly slowed down over the last decade, owing …
Processing-in-memory: A workload-driven perspective
Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …
Benchmarking a new paradigm: An experimental analysis of a real processing-in-memory architecture
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Benchmarking memory-centric computing systems: Analysis of real processing-in-memory hardware
Many modern workloads such as neural network inference and graph processing are
fundamentally memory-bound. For such workloads, data movement between memory and …
fundamentally memory-bound. For such workloads, data movement between memory and …
Towards efficient sparse matrix vector multiplication on real processing-in-memory architectures
Several manufacturers have already started to commercialize near-bank Processing-In-
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …
Scouting logic: A novel memristor-based logic design for resistive computing
L **e, HA Du Nguyen, J Yu, A Kaichouhi… - 2017 IEEE Computer …, 2017 - ieeexplore.ieee.org
Memristor technology is a promising alternative to CMOS due to its high integration density,
near-zero standby power, and ability to implement novel resistive computing. One of the …
near-zero standby power, and ability to implement novel resistive computing. One of the …