University of Minnesota researchers are working to create an algorithm to solve scheduling issues for public transit. A study found that dispatchers manually assign driving jobs to workers on a daily ...

Selecting the right RTOS scheduling algorithms using system modelling - September 2, 2013: Ranjit Adiga, CMR Design Automation embeded.com (August 26, 2013) Most high-performance embedded systems do ...

In this work, we identify the inefficiency in widely used allreduce algorithms, and the opportunity of algorithm-architecture co-design. We propose MULTITREE all-reduce algorithm with topology and ...

For example, on the job-scheduling side of things, Kubernetes makes a really good example.” Since hybrid clouds have their own architecture, supercloud will help address the contradiction ...

Adaptive Scheduling for Time-Triggered Network-on-Chip-Based Multi-Core Architecture Using Genetic Algorithm. ... A meta-scheduler invokes a genetic algorithm to solve a new scheduling problem for ...

Keysight AI (KAI) Data Center Builder is an advanced software suite that emulates real-world workloads to evaluate how new algorithms, components, and protocols impact the performance of AI training.

Keysight Technologies has launched Keysight AI (KAI) Data Centre Builder, a software suite designed to emulate real-world workloads to evaluate how new algorithms, components and protocols impact ...