Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Abstract: The increase of parallelism along with data volume has made more efficient ways of managing memory necessary, especially considering shared-memory architectures. The goal is to present some ...

A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge ...

A comprehensive web-based payroll management system built with Spring Boot backend and modern frontend technologies. This system streamlines employee management, attendance tracking, and payroll ...