HPX’s Season of Docs 2021

By Rachitt Shah

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, as well as being a Google Summer of Code organization.

GSoD aims to cover and create the documentation gaps faced by organizations due to various reasons, alongside giving technical writers who initially just wanted to know how much do editors make an avenue to showcase their skills.

I will be helping in the organization and update of the prior documentation to make it into a more navigable and to provide a user-friendly structure, which many users have had issues with using the current documentation. I will work closely with the HPX team and our users to collect feedback, find user pain-points, and improve preexisting docs, which mainly comprise of the build instructions.

Alongside, I would create a “design document” containing guidelines for how to add new content to the documentation: tips on how to structure new sections, general guidelines on what sort of content should be presented in what chapters, etc. The project may also include content rearrangement and a change of hierarchy, if the users find it is needed. 

I am currently working on a timeline and action items and researching about the possible shift to another documentation platform.

I am reachable at rachitt01@gmail.com or on the IRC as rachitt_shah, please contact me to suggest changes to the documentation or to provide feedback. We can always benefit from your ideas.

About me, I’m an undergrad studying electronics as my major, and I’m a casual sport programmer as well. I’ve been a product manager and venture capital intern in the past, and done Google Summer of Code with OpenAstronomy.

GSoC 2021 Participants Announced!

It is time to announce the participants for in the STE||AR Group’s 2021 Google Summer of Code! We are very proud to announce the names of the 2 students this year who will be funded by Google to work on projects for our group.

These recipients represent the very best 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:

Akhil J Nair, Army Institute Of Technology ( Savitribai Phule Pune University)

Mentors:

Giannis Gonidelis

Hartmut Kaiser

Project: Adapting algorithms to C++ 20 and Ranges TS

I’m Akhil J Nair, a third year undergrad studying computer engineering at AIT, Pune. I’ll be working with the STE||AR group this summer, focusing on the algorithms part of HPX, working on tasks such as adapting the parallel algorithms to C++ 20, adding range overloads, sentinel overloads etc. The algorithms would be adapted to use the tag_invoke customization point mechanism and the C++ 20 overloads will be added according to the C++ 20 Standard. The ranges overloads will also be added as proposed in the C++ extensions to ranges. Adding sentinel overloads and separating the segmented algorithms for the few remaining algorithms will also be done. I’m hoping this would serve as an entry point for me to HPX and the wider world of HPC in general and I look forward to contributing and learning a lot over the coming months.


Participant:

Srinivas Yadav, Keshav Memorial Institute of Technology, Hyderabad, India

Mentors:

Nikunj Gupta

Patrick Diehl

Project:  Add vectorization to par_unseq implementations of Parallel Algorithms

I am Srinivas Yadav currently pursuing my Bachelors in Computer Science at KMIT, Hyderabad, India. I will be working with STE | | AR group for HPX this summer in the area of vectorization for parallel algorithms. Current hpx parallel algorithms do not support vectorization. Vectorization allows the algorithms to use the cpu vector registers and hence performance may be improved by utilising most of the cpu resources and allows us to exploit another level of parallelism. This project aims to implement the support for parallel algorithms with explicit vectorization with new `simd` execution policy by using the c++ experimental simd extensions. I hope contributing to HPX would serve me as a stepping stone to the world of HPC and I am looking forward to learning and contributing more over the coming months.


Octo-Tiger Breakthrough Article

Our Octo-Tiger team here in the STE||AR Group are making waves with their newly published journal article in Monthly Notices of the Royal Astronomical Society, “Octo-Tiger: A New, 3D Hydrodynamic Code for Stellar Mergers That Uses HPX Parallelisation,”

The paper investigates the code performance and precision through benchmark testing. The authors, Dominic C. Marcello, postdoctoral researcher; Sagiv Shiber, postdoctoral researcher; Juhan Frank, professor; Geoffrey C. Clayton, professor; Patrick Diehl, research scientist; and Hartmut Kaiser, research scientist, all at LSU — together with collaborators Orsola De Marco, professor at Macquarie University and Patrick M. Motl, professor at Indiana University Kokomo — compared their results to analytic solutions, when known and other grid-based codes, such as the popular FLASH. In addition, they computed the interaction between two white dwarfs from the early mass transfer through to the merger and compared the results with past simulations of similar systems.

The LSU Physics and Astronomy press release was picked up by almost a dozen computer science and other media sites, including Phys.org, and SciTechDaily.  This is an exciting breakthrough as the astrophysics code outlined in the article is able to quickly and accurately simulate the collision of stars.

Understanding stars is fundamental to understanding the smaller planets that orbit them and the large galaxies they inhabit. Stars change over million to billion-year timescales in complex ways, particularly if we consider that many of them are orbited by one or more close companions, with which they exchange mass at different stages during their lives. Recent observations of these mass exchanges as flashes of light, or “transients”, show us a fundamentally new paradigm of stellar evolution, where even well-known phenomena like supernovae need to be understood in a new light. We need to include interacting, multiple stars in our models to explain exploding, outbursting, colliding, and merging stars, to interpret the rapidly increasing number of observations of transients and to ultimately create a new model of stellar evolution.

Octo-Tiger is currently optimized to simulate the merger of well-resolved stars that can be approximated by barotropic structures, such as white dwarfs or main sequence stars. The gravity solver conserves angular momentum to machine precision, thanks to a correction algorithm. This code uses HPX parallelization, allowing the overlap of work and communication and leading to excellent scaling properties, allowing for the computation of large problems in reasonable wall-clock times.

The research outlines the current and planned areas of development aimed at tackling a number of physical phenomena connected to observations of transients.

The video by Sagiv Shriber, found here: https://lsu.app.box.com/s/9g41cbz14l2agk3etx0pxy8ityddknty, shows a simulation of the motion of two white dwarfs in each other’s orbits. We are looking down at these two stars as they begin to merge together.

The collaborative Octo-Tiger project continues, and we look forward to their novel and exciting work in now and in the future.

  • Octo-Tiger is funded by: National Science Foundation Award1814967
  • The following computational sources were utilzed to conduct the research: QueenBee2 at Louisiana Optical NetworkInitiative (LONI); BigRed3 at Indiana University was supported by Lilly Endowment, Inc., through its support for the Indiana University Pervasive Technology Institute; and Gadi from  the  National  Computational  Infrastructure (NCI  Australia), an NCRIS enabled capability supported by the Australian Government.

GSoC 2020: Final Reports

Please find attached the final reports of our successful GSoC students::

Giannis Gonidelis, Adapt parallel algorithms to C++20: Final Report, Blog

Sayef Sakin, Time Series Updates for Traveler: Final Report/Blog

Weile Wei, Concurrent Data structure Support: Final Report/Blog

Mahesh Kale, Pip Package for Phylanx: Final Report/Blog

Pranav Gadikar, Domain decomposition, load balancing, and massively parallel solvers for the class of nonlocal models: Final Report/Blog

GSoD Final Report

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 here. To view my changes to the wiki, please see here.

Announcing HPX’s Season of Docs

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 Group has created extensive documentation for HPX, this documentation has been written by several different people, which has led to some inconsistencies and awkward organization. I am a technical writer and English PhD student who has been selected to edit and streamline HPX’s documentation. My goal is to clean up the content, concentrating on both grammatical issues and design concerns, to create a more cohesive, user-friendly product. My primary focus will be on two sections of the STE||AR Group’s instruction manual: “HPX Build System” and “Launching and Configuring HPX Applications.” If time allows, I will also revise the “Why HPX” page, with an emphasis on condensing and trimming repetitive content.

You can read my GSoD proposal here.

Trip Report: ICML 2019


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 9th to 15th at the Long Beach Convention Center.