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An Optimized Core Distribution Adaptive Topology Reconfiguration Algorithm for NoC-Based Embedded Systems Open
In advanced multicore embedded systems, network-on-chip (NoC) is vital for core communication. With a rise in the number of cores, the incidence of core failures rises, potentially affecting system performance and stability. To address the…
Research on Approximate Computation of Signal Processing Algorithms for AIoT Processors Based on Deep Learning Open
In the post-Moore era, the excessive amount of information brings great challenges to the performance of computing systems. To cope with these challenges, approximate computation has developed rapidly, which enhances the system performance…
SigDLA: A Deep Learning Accelerator Extension for Signal Processing Open
Deep learning and signal processing are closely correlated in many IoT scenarios such as anomaly detection to empower intelligence of things. Many IoT processors utilize digital signal processors (DSPs) for signal processing and build deep…
View article: Advances in nuclear detection and readout techniques
Advances in nuclear detection and readout techniques Open
“A Craftsman Must Sharpen His Tools to Do His Job,” said Confucius. Nuclear detection and readout techniques are the foundation of particle physics, nuclear physics, and particle astrophysics to reveal the nature of the universe. Also, the…
WIRD: An Efficiency Migration Scheme in Hybrid DRAM and PCM Main Memory for Image Processing Applications Open
Using a hybrid main memory in embedded systems to process image processing applications has become an irresistible trend. However, the performance deficiencies (less write endurance and relative longer write latency) in phase change memory…
A Virtual Channel Allocation Algorithm for NoC Open
Virtual channel (VC) flow control proves to be an alternative way to promote network performance, but uniform VC allocation in the network may be at the cost of chip area and power consumption. We propose a novel VC number allocation algor…