Challenges and future directions for energy, latency, and lifetime improvements in NVMs
Recently, non-volatile memory (NVM) technology has revolutionized the landscape of
memory systems. With many advantages, such as non volatility and near zero standby …
memory systems. With many advantages, such as non volatility and near zero standby …
Nonvolatile Memory Technologies: Characteristics, Deployment, and Research Challenges
Nonvolatile memory (NVM) is a class of memory that exhibits persistence, similar to
secondary memory, while providing access speeds at least an order of two magnitudes …
secondary memory, while providing access speeds at least an order of two magnitudes …
Compact reliability model of analog RRAM for computation-in-memory device-to-system codesign and benchmark
A physics-based compact model of reliability degradation in analog resistive random access
memory (RRAM) is developed. The model captures the stochastic degradation behaviors of …
memory (RRAM) is developed. The model captures the stochastic degradation behaviors of …
Wesco: Weight-encoded reliability and security co-design for in-memory computing systems
Non-volatile memory (NVM) based in-memory computing (1MC) systems can avoid
expensive data movement by implementing matrix-vector-multiplication calculations in …
expensive data movement by implementing matrix-vector-multiplication calculations in …
Improving efficiency and lifetime of logic-in-memory by combining IMPLY and MAGIC families
Memristor-based memory computing has attracted much attention recently. By combining
the storability and computability of memristor devices together, the memristor-based in …
the storability and computability of memristor devices together, the memristor-based in …
Reinforcement learning-based joint reliability and performance optimization for hybrid-cache computing servers
Computing servers play a key role in the development and process of emerging compute-
intensive applications in recent years. However, they need to operate efficiently from an …
intensive applications in recent years. However, they need to operate efficiently from an …
[Retracted] A Lightweight Face Verification Based on Adaptive Cascade Network and Triplet Loss Function
J Lin, C Ye, W Liu, S Ren, Y Wang… - Wireless …, 2022 - Wiley Online Library
In the past few years, with the continuous breakthrough of technology in various fields,
artificial intelligence has been considered as a revolutionary technology. One of the most …
artificial intelligence has been considered as a revolutionary technology. One of the most …
MNSIM-TIME: Performance modeling framework for training-in-memory architectures
Emerging memristors and Processing-In-Memory (PIM) architectures have shown powerful
capabilities in improving the computing energy efficiency of neural network (NN) algorithms …
capabilities in improving the computing energy efficiency of neural network (NN) algorithms …
Digital Twin Based Fault-Tolerance Framework for RRAM Based Neural Computing Systems
CS Vatti, SD YV, A Nimbekar… - 2023 IEEE 66th …, 2023 - ieeexplore.ieee.org
An RRAM-based computing system (RCS) is a cutting-edge hardware platform that shows
significant promise for implementing vector-matrix multiplication in analog form for …
significant promise for implementing vector-matrix multiplication in analog form for …
A Hierarchical Fault-Tolerant and Cost Effective Framework for RRAM Based Neural Computing Systems
CS Vatti, MB Rakesh, PRT Reddy… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An RRAM-based computing system (RCS) is widely used in neuromorphic computing
systems due to its fast computation and low cost. The immature fabrication processes cause …
systems due to its fast computation and low cost. The immature fabrication processes cause …