ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference. Its features include the following: ONNXim requires ONNX graph files (.onnx) to simulate DNN models. We provide ...
Frontiers Science Center for Flexible Electronics & Institute of Flexible Electronics, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an 710072, China ...
Abstract: Sparsity, as an intrinsic property of convolutional neural networks (CNNs), has been widely employed for hardware acceleration, and many customized accelerators tailored for sparse weights ...
Simulation of GEMM and convolution (as im2col) operations Analytical compute cycles validated by RTL simulation Separate double-buffered memory modeling for Input, Filter and Output matrices ...
The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). This paper aimed to quantify LVEF ...
Left ventricular (LV) systolic dysfunction is associated with a >8-fold increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in screening for LV systolic ...
Abstract: The ubiquitous application of deep neural networks (DNNs) has led to a rise in demand for artificial intelligence (AI) accelerators. For example, the tensor processing unit from Google–based ...
In cardiomyocytes, nuclear calcium is involved in regulation of transcription and, thus, remodeling. The cellular mechanisms regulating nuclear calcium, however, remain elusive. Therefore, the aim of ...
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