3 papers
cs.DC2025
A Nonlinear Hash-based Optimization Method for SpMV on GPUs
Chen Yan, Boyu Diao, Hangda Liu +2
Sparse matrix-vector multiplication (SpMV) is a fundamental operation with a wide range of applications in scientific computing and artificial intelligence. However, the large scal…
cs.CV2025
Efficient Continual Learning through Frequency Decomposition and Integration
Ruiqi Liu, Boyu Diao, Libo Huang +4
Continual learning (CL) aims to learn new tasks while retaining past knowledge, addressing the challenge of forgetting during task adaptation. Rehearsal-based methods, which replay…
cs.DC2025
Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning
Hangda Liu, Boyu Diao, Yu Yang +3
High-performance deep learning depends on efficient tensor programs. In recent years, automatic tensor program optimization, also known as tensor compilation, has emerged as the pr…