Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...

The program uses basic Python programming concepts to perform matrix operations without any built-in libraries. Matrices are stored using nested lists where each inner list represents one row of the ...

Abstract: In modern machine learning models like Transformers, matrix multiplication dominates most computation. Specific hardware often uses large-scale PE arrays, such as systolic arrays, to ...

Abstract: Fully homomorphic encryption (FHE) enables computation directly over encrypted data without decryption, offering a promising approach to privacy-preserving outsourcing computation in cloud ...