8 citations · 8 across the 4 of their papers we have counts for
4 papers
How Much Orthogonalization Does Muon Need?
Hua Huang
Muon optimizers improve neural-network training by replacing ill-conditioned momentum updates with approximately semi-orthogonal updates. This motivates a practical question: how m…
Cascaded Prediction and Asynchronous Execution of Iterative Algorithms on Heterogeneous Platforms
Jianhua Gao, Bingjie Liu, Yizhuo Wang +2
Owing to the diverse scales and varying distributions of sparse matrices arising from practical problems, a multitude of choices are present in the design and implementation of spa…
Precision-Aware Iterative Algorithms Based on Group-Shared Exponents of Floating-Point Numbers
Jianhua Gao, Jiayuan Shen, Yuxiang Zhang +2
Iterative solvers are frequently used in scientific applications and engineering computations. However, the memory-bound Sparse Matrix-Vector (SpMV) kernel computation hinders the…
A Systematic Literature Survey of Sparse Matrix-Vector Multiplication
Jianhua Gao, Bingjie Liu, Weixing Ji +1
Sparse matrix-vector multiplication (SpMV) is a crucial computing kernel with widespread applications in iterative algorithms. Over the past decades, research on SpMV optimization…