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

# Category: Seminar

## Phylanx Seminar: Distributed Object in HPX

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

## Phylanx Seminar: Ordering

This seminar presents Avahâ€™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

## Phylanx Seminar: Parallelism and Distributed Arrays

In this seminar, Avah presents her latest model of the tiling problem in Phylanx. The lecture covers the assumptions made, constrains, and the open questions yet to be solved. Lecture materials can be found below: Continue reading

## Phylanx Seminar: Neural Networks

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

## Phylanx Seminar: Visualization Tools

Key components of the Phylanx Project are the visualization tools being developed at the University of Arizona. These tools include: Continue reading

## Phylanx Seminar: Introduction to HPXMP

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

## Phylanx Seminar: Mathematics of Tiling Approximations II

In this seminar, a continuation of his previous seminar, Indranil completes his explanation of the theory used to support Phylanx’s tiling approximations. Our team intends to use these approximations in order Continue reading

## Phylanx Seminar: Mathematics of Tiling Approximations

In order to distribute the large amounts of data that Phylanx will process across a cluster, our team needs to be able to calculate an optimal distribution and layout for this data which will minimize the Continue reading

## Phylanx Seminar: Plugging into the Power of Phylanx II

In this week’s seminar, Hartmut returns to the implementation of primitives; this time in the form of a Phylanx plugin. Hartmut creates the primitive “constants_of_nature” which returns the value of e, pi, or Continue reading