Abstract: A many‐core distributed system consists of multiple multi‐core node clusters connected via network on chips (NoCs). Scaling up performance on a many‐core system requires careful partitioning ...

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 ...

Distributed training is a model training paradigm that involves spreading training workload across multiple worker nodes, therefore significantly improving the speed of training and model accuracy.

Abstract: Distributed-memory parallel processing addresses computational problems requiring significantly more memory or computational resources than can be found on one node. Software written for ...

In this tutorial, we build an EverMem-style persistent agent OS. We combine short-term conversational context (STM) with long-term vector memory using FAISS so the agent can recall relevant past ...

Back in the day, celebrities could tell lies more easily: we weren't so quick to fact-check and call them out on it.