In this post I’ll go through the simple implementation of LRA (Logistic Regression Algorithm) to outline the Phylanx architecture and also demonstrate how one might go about writing their own programs in Phylanx. The complete version of the code discussed in this post can be found in the project’s GitHub repository under examples/algorithms directory and the corresponding dataset can be found here. Continue reading
The fifth month of work focused on work in the following areas:
Agave is a science-as-a-service platform which we are considering leveraging to assist the dissemination of our work. To help us understand what it can offer our team member, Steve, gave a presentation on the technology on December 11th. Continue reading
The third month of work focused on
Now that an HPX back-end is taking shape, the Phylanx team is starting to strategize how best to interface with a forthcoming python front-end. In a talk on November 3rd, Rod discussed the methods of interacting with Python in other projects, the current design of Phylanx, and a Continue reading
The second month of work focused on
Friday the Phylanx team at LSU held a seminar on the current theory, techniques, and methodology used by the Phylanx project. During the lecture Hartmut laid out the scope of the challenge we are trying to solve and the three components of the project as we have them today. Additionally, he explained the grammar we are using to describe expression trees and the current and future role Python is playing in the project.
You can watch the seminar, as well as, follow along with the overheads and examples provided below.
Seminar Video: https://youtu.be/o11VyxgbQII
Resources:
Our scribbled project timeline.
On August 24th and 25th the Phylanx team held our kickoff meeting at Louisiana State University. We had a productive meeting where we were able to start pinning down project details. Some of the major decisions include: formalizing the three tiered project structure, focusing on Continue reading
The Phylanx team is excited to start communicating our vision, research, and results of this project to the broader community. We believe that our ideas have the ability to influence the way that domain scientist utilize HPC resources. It is essential, therefore, to spread our message and include them in our work as early as possible . We hope that this platform will help us accomplish this Continue reading