1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.NE2026
Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming
Hao Mao, Xu Tony Liu, Shuai Lu +3
Constant optimization refines the numerical coefficients of candidate expressions in tree-based genetic programming for symbolic regression. But its per-generation cost has led mod…
cs.DC2026
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
Xiang Fu, Jixiang Ma, Xinpeng Zhang +3
Convolution is a principal computational bottleneck in deep neural networks, and its efficiency depends on tight integration between algorithms and GPU hardware. Existing GPU convo…
cs.LG2024★ 1 cited
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures
Xiang Fu, Xinpeng Zhang, Jixiang Ma +3
Convolution is the core component within deep neural networks and it is computationally intensive and time consuming. Tensor data layouts significantly impact convolution operation…