This is a benchmarking tool for Qdrant's sparse vector implementation using the NeurIPS 2023 datasets. This task is based on the common MSMARCO passage retrieval dataset, which has 8,841,823 text ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...

FOSDEM 2026 Amid growing interest in digital sovereignty and getting data out of the corporate cloud and into organizations' ownership, the Matrix open communication protocol is thriving. The project ...