Thermal management in neuromorphic materials, devices, and networks
Abstract Machine learning has experienced unprecedented growth in recent years, often
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
NCFET to rescue technology scaling: Opportunities and challenges
Negative Capacitance Field Effect Transistor (NCFET) is one of the promising emerging
technologies that may overcome the fundamental limits of conventional CMOS technology …
technologies that may overcome the fundamental limits of conventional CMOS technology …
NPU thermal management
Neural processing units (NPUs) are becoming an integral part in all modern computing
systems due to their substantial role in accelerating neural networks (NNs). The significant …
systems due to their substantial role in accelerating neural networks (NNs). The significant …
Machine learning for on-the-fly reliability-aware cell library characterization
Aging-induced degradation imposes a major challenge to the designer when estimating
timing guardbands. This problem increases as traditional worst-case corners bring over …
timing guardbands. This problem increases as traditional worst-case corners bring over …
Circuit-level techniques for logic and memory blocks in approximate computing systemsx
This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …
(AC), including both computation and data storage units. After providing some background …
On the resiliency of NCFET circuits against voltage over-scaling
Approximate computing is established as a design alternative to improve the energy
requirements of a vast number of applications, leveraging their intrinsic error tolerance …
requirements of a vast number of applications, leveraging their intrinsic error tolerance …
Thermal-aware design for approximate DNN accelerators
G Zervakis, I Anagnostopoulos… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Recent breakthroughs in Neural Networks (NNs) have made DNN accelerators ubiquitous
and led to an ever-increasing quest on adopting them from Cloud to edge computing …
and led to an ever-increasing quest on adopting them from Cloud to edge computing …
On-demand mobile CPU cooling with thin-film thermoelectric array
On-demand cooling is inevitable to maximize the processor's performance, while fulfilling
thermal constraints—this holds more in advanced technologies, where localized hotspots …
thermal constraints—this holds more in advanced technologies, where localized hotspots …
Thermal-aware adaptive platform management for heterogeneous embedded systems
Recent trends in real-time applications have raised the demand for high-throughput
embedded platforms with integrated CPU-GPU based Systems-On-Chip (SoCs). The …
embedded platforms with integrated CPU-GPU based Systems-On-Chip (SoCs). The …
ATLAS: Aging-aware task replication for multicore safety-critical systems
A major requirement of safety-critical systems is high reliability at low power consumption.
Dynamic voltage and frequency (v/f) scaling (DVFS) techniques are widely exploited to …
Dynamic voltage and frequency (v/f) scaling (DVFS) techniques are widely exploited to …