marktechpost

Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
EurekAlert!

Cloud-based GWAS platform: An innovative solution for efficient acquisition and analysis of genomic data

The diagram illustrates a framework for cloud-based GWAS data resources, structured in a hub-and-spoke architecture with "Cloud-Based GWAS Data Resources" at its core—interconnected with six ...
Hosted on MSN

Allies and algorithms: The matrix and partnerships shaping AI’s future

CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space. Trump ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
Scientific Research Publishing

Gibbs, N.E., Poole, Jr., W.G. and Stockmeyer, P.K. (1976) An Algorithm for Reducing the Bandwidth and Profile of a Sparse Matrix. SIAM Journal on Numerical Analysis, 13, 236-250.

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
Scientific Research Publishing

Barnard, S.T., Pothen, A. and Simon, H.D. (1993) A Spectral Algorithm for Envelope Reduction of Sparse Matrices. Proceedings of the 1993 ACM/IEEE Conference on Supercomputing ...

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
GitHub

README.md

Summary: Implemented a 2D convolution algorithm with tiling optimization using CUDA. Divided the input matrix into tiles and leveraged shared memory to minimize global memory accesses, ensuring ...