IIT JAM Mathematical Statistics Syllabus 2026: The IIT JAM Mathematical Statistics (MS) syllabus is a crucial resource for any student aiming to appear for the IIT JAM 2026 examination. The syllabus ...
Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...
Abstract: Transformer has been widely applied across various domains due to its outstanding performance, driving the development of numerous application services. However, in many real-world scenarios ...
Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...
QiMeng-GEMM is an innovative approach to automatically generate high-performance matrix multiplication (GEMM) code using LLMs. This codebase provides a comprehensive solution for efficiently computing ...
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