Phylanx Report: October 2017

The second month of work focused on

  • creating a minimal set of primitives (driven by the use case of implementing a full Logistic Regression Training Algorithm – LRA)
  • Migrating the code base from using the Eigen library for all matrix related operations to Blaze, adapting the build system
  • Refactoring the compilation subsystem of Phylanx to enable support for higher order functions

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Phylanx Seminar

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:

Hello World!

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