Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...

Conventional memory schemes follow the Pareto Principle, in which approximately maintaining 20% hot data can meet 80% of requests. Large-scale applications, such as generative AI, recommendation ...

LOCAL (single hive, no federation): 12.1% FEDERATED (5-hive tree, HiveGraph): 49.5% (+37.4pp over local) AZURE PG (centralized baseline): 96.0% (+46.5pp over federated) Federation adds +37.4pp through ...

At the Singing Circle in Amsterdam, people with cognitive decline join together to lift their spirits and improve their lives. By Nina Siegal Reporting from Amsterdam On a freezing but sunny afternoon ...

Over the past couple of years, we’ve watched AI go from novelty to utility. Chatbots became copilots, copilots became workflows, and workflows are now inching toward something bigger: Agentic systems ...

MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive HPC Workloads. A software distributed shared memory system that enables infinite memory capacity through intelligent ...

In his 2023 Ph.D. dissertation, “Operating Systems for Far Out Memories,” Daniel Bittman argues that a recent convergence of hardware trends—including increased memory heterogeneity, faster ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

A new technical paper titled “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads” was published by researchers at Illinois Institute of Technology. “In this work, ...

Abstract: This document presents the work related to a simulation event driven platform, Darfia, engineered through the use of distributed and shared memory (DSM) using the framework Terracotta DSO, ...