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 ...

Algorithms can now work out the best ways to lay out rooms, construct buildings and even change them over time to meet user needs. Algorithms are designing better buildings Home ...

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.