The twenty-seventh month of work focused on work in the following areas:
- Phylanx Project Meeting
- Present Results at Supercomputing 2019
- Version 0.1 of JetLag
- See video: https://cct.lsu.edu/~sbrandt/PhylanxDemo.mp4
The twenty-seventh month of work focused on work in the following areas:
During our recent Phylanx Kickoff meeting, the team defined a new project to drive our development which we donned the code name JetLag. JetLag represents the production interface of the Continue reading
In this seminar, Steve discusses Docker containers and what users can do with them. He explains what they are, how to create them, and how to deploy these tools. Continue reading
As part of our research in Phylanx, our team has worked to create GPU support in Blaze. In this seminar Jules Pénchot, an intern from Université Paris-Saclay, presents his library, Blaze CUDA. Continue reading
Predicting the effects of parallelism on an algorithm is central in designing efficient applications. In this seminar, Avah presents the models used to determine the effects of parallelism and concurrency. She Continue reading
Often when writing distributed applications, a user will want to represent a large data set as a single object, despite not fitting in memory on a single node. In order to address this use case, Weile Wei and Maxwell Reeser Continue reading
This seminar presents Avah’s work on high-dimensional random orders, a well known structure in Computational Geometry and useful for computing Skyline queries in multi-objective optimization. The talk works through definitions, theory and some examples. Talk materials can be found below: Continue reading
One model commonly used in machine learning is a neural network. In this seminar, Bita explains the components of a neural network, discusses factors to consider when using the model, and demonstrates a few implementations of the model. Continue reading
Key components of the Phylanx Project are the visualization tools being developed at the University of Arizona. These tools include: Continue reading
A key piece of technology the Phylanx team is using to manage task scheduling is HPXMP. Originally developed by our collaborator, Jeremy Kemp, HPXMP maps OpenMP calls to their equivalent HPX Continue reading