News

Snap Inc. Applies for Distributed Machine Learning Patent to Accelerate Model Training and Deployment

The National Intellectual Property Administration has disclosed that Snap Inc. applied for a patent titled "Distributed Loading and Training of Machine Learning Models" in February 2024, with the ...
TechRepublic

Efficient Object Storage Journaling in a Distributed Parallel File System

Journaling is a widely used technique to increase file system robustness against metadata and/or data corruptions. While the overhead of journaling can be masked by the page cache for small-scale, ...

Hangzhou Dianzi University Releases Patent for AI Training in Heterogeneous Environments, Accelerating Distributed Training and Enhancing Efficiency

According to the latest information from the National Intellectual Property Administration, Hangzhou Dianzi University and Hangzhou Bashi Space Artificial Intelligence Information Technology Co., Ltd.
GIGAZINE

DeepSeek announces open-source 3FS, a file system that accelerates AI

DeepSeek has released the Fire-Flyer File System (3FS), an open source project that is a parallel file system that improves the efficiency of AI training and inference performance. DeepSeek brings ...
JSTOR Daily

Dynamic Scheduling of a Two-Server Parallel Server System with Complete Resource Pooling and Reneging in Heavy Traffic: Asymptotic Optimality of a Two-Threshold Policy

We consider a dynamic control problem for a parallel server system commonly known as the N-system. An N-system is a two-server parallel server system with two job classes, one server that can serve ...
JSTOR Daily

Optimal Control of Distributed Parallel Server Systems under the Halfin and Whitt Regime

We consider a distributed parallel server system that consists of multiple server pools and a single customer class. We show that the minimum-expected-delay faster-server-first (MED-FSF) routing ...