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These recipients represent only a handful of the many excellent proposals that we had to choose from. For those unfamiliar with the program, the Google Summer of Code brings together ambitious students from around the world with open source developers by giving each mentoring organization funds to hire a set number of participants. Students then write proposals, which they submit to a mentoring organization, in hopes of having their work funded.

Below are the students who will be working with the STE||AR Group this summer listed with their mentors and their proposal abstracts.

Participant:

Sayef Azad Sakin, University of Arizona

Mentor:

Kate Isaacs, University of Arizona

Project: Time Series Updates for Traveler

Traveler-Integrated is a platform for performance visualization of parallel runtimes such as HPX. The interface allows accessing multiple datasets, from different executions. However, there are several improvements that can be made to the interface in terms of managing large numbers of files (e.g., from historical regression runs) and organizing windows to handle comparison of runs. In this project you will work on the Javascript front end to implement this interface, refining the design through user feedback.

Participant:

Ioannis Gonidelis, TS Aristotle University of Thessaloniki

Mentor:

Hartmut Kaiser, Louisiana State University

Thomas Heller, Exasol

Project:  Adapt HPX range-based parallel algorithms in order to expose a range based interface according to latest Ranges

Our parallel algorithms currently expect for the begin iterators to have the same type as the corresponding end iterators. The latest changes to the C++ Standard allow for those to be different. This enables the use of the algorithms with more general range abstractions (i.e. begin-iterator/sentinel pairs such as C-style strings). We have created a list of algorithms that need to be changed to support different types for the begin/end iterator pairs (see here). There you can also see what algorithms have already been adapted, which may help in understanding the task.

Participant:

Pranav Gadikar, Indian Institute of Technology Madras

Mentor:

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Prashant J Kumar, UT Austin

Project:  Domain decomposition, load balancing, and massively parallel solvers for the class of nonlocal models

Peridynamics is used to model cracks and fractures in materials. In recent years there have been several numerical approximations proposed for peridynamics. Peridynamics is a nonlocal model, i.e. to compute force/strain/energy at a point, one has to look at the neighbors of a point within a finite radius. A code utilizing the parallel algorithms and futurization within HPX for a single shared memory node is available. This code should be extended with a domain decomposition for computations on several nodes. Here, the challenge would be to perform an efficient load balancing of the domain partitions. In case of damage, the computational costs in the domain where the damage occurs in the material decreases. In this project, an efficient algorithm which detects where the computational costs are decreasing and how to redistribute the domains such that load is balanced should be developed.

Participant:

Weile Wei, Louisiana State University

Mentor:

John Biddiscombe, Swiss National Supercomputing Center

Mikael Simberg, Swiss National Supercomputing Center

Project:  Concurrent Data structure Support

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Participant:

Mahesh Kale, Indian Institute of Technology Roorke

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Nikunj Gupta, Indian Institute of Technology Roorke

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Project:  Pip Package for Phylanx

Phylanx relies on many external libraries which makes the building process tedious and error prone, especially to the target audience of the software- domain scientist. The goal of this project is to automate the build process of Phylanx by creating a distribution package. The distribution package should build and install Phylanx and its requirements through Python’s pip package manager.

By Rebecca Stobaugh.

We’ve reached the end of Google’s Season of Docs, and we’ve accomplished a lot in the past three months. My initial proposal was to work on three sections of the manual, and we have far exceeded our goal, managing to make changes to twelve different sections of the documentation. The majority of the work I’ve done has consisted of cleaning up grammatical errors and improving sentence structure. I have also added a style guide to the wiki, which should help standardize future changes to the documentation. The style guide can be found in the “HPX Source Code Structure and Coding Standards” wiki document under the section “Documentation Style Guide”. For a complete list of my pull requests during Season of Docs, please see 雷神加速器能上youtube. To view my changes to the wiki, please see here.

By Rebecca Stobaugh

We’ve passed the halfway point for Google’s Season of Docs, and we’ve made great progress so far! My initial project proposal was to tackle three sections of the documentation, but, as of the time I write this, we’ve managed to work on ten different sections.

As the STE||AR Group continues to grow, we are making our best efforts to guard and foster a vibrant, connected community. We believe that mutual trust and collaboration with our team members is a foundational pillar which supports our accomplishments.

This month Dr. Keita Teranishi, a researcher at Sandia Livermore National Lab, presented his research on fault tolerance and resilience to the STE||AR Group.

On Monday September 9th a graduate of the STE||AR Group, Zahra Khatami returned to LSU and gave a sort lecture about her experiences in the “real world”.

By Rebecca Stobaugh

HPX was recently selected to be part of Google’s Season of Docs (GSoD), a program designed to improve the documentation of open source software. While the STE||AR Continue reading →

By: Bita Hasheminezhad

A few weeks ago, I had the opportunity to attend the International Conference on Machine Learning (ICML) which is the premier gathering of professionals dedicated to the advancement of machine learning. Thirty-Sixth ICML was held on June 9^th to 15^th at the Long Beach Convention Center.

海外加速器YouTube

From May 5th to 10th, I was in Aspen, CO attending my first C++Now conference. I was able to participate as a student volunteer, and I was able to give a lightning talk about C++ Distributed Object Abstraction using HPX.

The STE||AR Group is proud to announce the release of HPX 1.3.0! This release focuses on performance and stability improvements. Make sure to read the full release notes to see all new and breaking changes. Thank you once again to everyone in the STE||AR Group and all the volunteers who have provided fixes, opened issues, and improved documentation.

Download the release from our 浏览youtube加速器推荐, or GitHub page.