Edge-side fine-grained sparse CNN accelerator with efficient dynamic pruning scheme
With the rapid development of the Internet of Things (IoT), it has become a common concern
of academia and industry to provide real-time high performance services for edge-side …
of academia and industry to provide real-time high performance services for edge-side …
An efficient CNN accelerator for pattern-compressed sparse neural networks on FPGA
Y Zhang, H Wang, Z Pan - Neurocomputing, 2025 - Elsevier
Currently, the sparsity of weights and activations are mainly utilized to improve the energy
efficiency and computational performance of CNN accelerators. However, the irregular …
efficiency and computational performance of CNN accelerators. However, the irregular …
Memristor-Based Approximate Query Architecture for In-Memory Hyperdimensional Computing
As a new computing paradigm, hyperdimensional computing (HDC) has gradually
manifested its advantages in edge-side intelligent applications by virtue of its interpretability …
manifested its advantages in edge-side intelligent applications by virtue of its interpretability …
Fully Learnable Hyperdimensional Computing Framework with Ultra-tiny Accelerator for Edge-side Applications
Brain-inspired hyperdimensional computing (HDC) is a new computational paradigm that
encodes input sample into a hypervector (generally with dimensions of), and performs …
encodes input sample into a hypervector (generally with dimensions of), and performs …
AttnACQ: Attentioned-AutoCorrelation Based Query for Hyperdimensional Associative Memory
The low power and latency of hyperdimensional associative memory (HAM) promotes
hyperdimensional computing (HDC)'s efficiency. However, overheads of HAM can be hardly …
hyperdimensional computing (HDC)'s efficiency. However, overheads of HAM can be hardly …