This project focuses on accelerating the Smith-Waterman local sequence alignment algorithm, a fundamental but computationally intensive ($O(N^2)$) bioinformatics tool ...

Abstract: We develop a novel vectorized image representation scheme accommodating both shape/geometry and texture in a decoupled way, particularly tailored for reconstruction and editing tasks of ...

Abstract: This work provides a historical perspective on the Single Instruction Multiple Data (SIMD) instruction set extensions. SIMD extensions are crucial in modern processors for handling large ...

SciRS2 is a comprehensive scientific computing and AI/ML infrastructure in Pure Rust, providing SciPy-compatible APIs while leveraging Rust's performance, safety, and ...