IEEE

Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings

Abstract: The extraction and detection of weak faults of rolling bearings on rotating machinery are essential and crucial. However, traditional methods of sparse matrix optimization have shortcomings ...
IEEE

Synthesis of Sparse Planar Antenna Arrays Using a Matrix Constraints Method

Abstract: Sparse arrays have gained increasing research attention due to their potential to reduce system cost and weight. However, current studies on sparse array synthesis often overlook the ...
GitHub

Multi-Level-Multi-Queue (MLMQ), a GPU-friendly data structure design to accelerate Single-Source Shortest Path (SSSP) on GPUs

The main code of MLMQ is in core, including the high-level templated framework and instantiated queues. SSSP is the SSSP program based on MLMQ, where users can specify the types of queues and their ...
GitHub

Butterfly matrix for Sparse NN Inference on FPGA

Scatterbrain: Unifying Sparse and Low-rank Attention Approximation: https://arxiv.org/pdf/2110.15343.pdf Pixelated Butterfly: Simple and Efficient Sparse Training for ...