Tech Xplore

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Bill Gates says we're in an AI bubble similar to the dot-com bubble

"Absolutely, there are a ton of these investments that will be dead ends," Bill Gates said on "Squawk Box." ...

Propositional Chunking For Better Vector Search

Try propositional chunking on your next vector search project. Your users will notice the difference in result quality immediately.
IEEE

Sequences of Distributed Matrix-Vector Product for Very Large and Very Sparse Irregular Matrices

Abstract: We study the performance behavior of the sparse matrix-vector product operation in distributed computing environments, in the case of very large non-diagonal matrices where the nonzero ...
IEEE

GPU-Accelerated Sparse Matrix Vector Product based on Element-by-Element Method for Unstructured FEM using OpenACC

Abstract: The development of directive based parallel programming models such as OpenACC has significantly reduced the cost in using accelerators such as GPUs. In this study, the sparse matrix vector ...