3 accepted papers
The efficiency of GPU kernels is central to the progress of modern AI, yet optimizing them remains a difficult and labor-intensive task due to complex interactions between memory hierarchies, thread scheduling, and hardware-specific characteristics. While recent advances in large language models (LL…
The paper introduces a new terahertz (THz) image benchmarking dataset for THz imaging. The degradation of THz image quality is one of the main problems caused by system noise, intrinsic long-wavelength, and diffraction phenomena. In this paper, the point spread function of the THz imaging process is…
Combinatorial Optimization (CO) has been a long-standing challenging research topic featured by its NP-hard nature. Traditionally such problems are approximately solved with heuristic algorithms which are usually fast but may sacrifice the solution quality. Currently, machine learning for combinator…