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Vissarion Fisikopoulos edited this page Mar 9, 2020 · 6 revisions

Welcome to the GeomScale Google Summer of Code wiki!

This wiki will be the central hub of information regarding the GeomScale participation in the Google Summer of Code (GSoC) 2020. Administrators are Vissarion Fisikopoulos ([email protected]) and Apostolos Chalkis ([email protected]).

Everyone who wants to participate in Google Summer of Code with GeomScale should:

Overview of the program

In short, each student selected for a GSoC project will get paid to work on a GeomScale related project for 3 months during the summer:

  • Mentors can add projects to give ideas to students.
  • Students should look at the list of projects to see if any project interests them. Before emailing project mentors, please do at least one project test and post a link to your solution on the proposal’s wiki page. Then email the project mentors to express your interest, and describe any prior experience.
  • If a student can provide a link to a C++/R repository with at least 1,000 lines, non-coursework open source code this will definitely strengthen their application. Code should have been open sourced at least three months ago, and show a log of commits improving the library over time.
  • After opening communication with project mentors, each student must write an application with a detailed timeline, following this application template. Successful applications are shared with mentors for feedback before submission of a final application on Google.
  • For real time communication students and mentors can use gitter.
  • If GeomScale is accepted as a GSoC project, Google will award a certain number of student slots.
  • The project administrators and mentors of GeomScale will rank projects in order of application quality and importance to the GeomScale project, and the top projects will be funded.
  • Students get paid a stipend by Google for writing free/open-source code for 3 months during the summer.
  • Mentors get code written for their project, but no money.

Proposed Projects

See: table of proposed coding projects

Status and Timeline

Useful events from the official timeline:

When What
Feb 5 Mentoring organization application deadline
Feb 20 List of accepted mentoring organizations published
Mar 31 Student application deadline
May 18 - Aug 17 Student coding period
June 19 Phase 1 evaluations
July 17 Phase 2 evaluations
Aug 24 Final evaluations

Name:Rohit Email:[email protected] GitHub:https://github.com/phoenixrao885/gsoc-monte-carlo-solutions Test done :monte carlo integration -Easy,Medium,Hard,Bonus

Name: Prajwal Bagal Email: [email protected] Github: https://github.com/Prajwalbagal/GeomScaleTest

Name:Abhishek Agrawal Email:[email protected] GitHub:Easy-task: https://github.com/abhishek8764/Monte-Carlo-Integration

Name: Divesh Kuamar Email: [email protected] Task-Link(Easy Randomized LP solver): https://github.com/diveshkr-code/Geomscale_Gsoc2020`

Name: Deifilia To Email: [email protected] Task-link: (Easy and Medium of Apothesis): https://github.com/DeifiliaTo/Apothesis_gsoc

Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Easy Task of Apothesis): https://github.com/soumyajit1729/Apothesis

Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Medium Task of Apothesis): https://github.com/soumyajit1729/Apothesis

Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Hard Task of Apothesis): https://docs.google.com/presentation/d/1mX4UA3x8cs6--aCZ_cN2ZNB6jr3eC7P5sbiEB92YEC0/edit?usp=sharing

Name:Abhishek Agrawal Email:[email protected] GitHub:Medium-task: https://github.com/abhishek8764/Monte-Carlo-Integration

Name: Alexandros Manochis, Email: [email protected], Github: https://github.com/AlexManochis/volume_approximation/tree/gsoc20, Project: A comparative study of uniform high dimensional samplers, Tests completed: Easy, Medium, Hard

Name: Sunit Gautam Email: [email protected], [email protected] GitHub: https://github.com/gsunit/Monte-Carlo-Intergration Tasks completed: Monte Carlo integration - Easy, Medium, Hard

Name: Vaibhav Thakkar
Email: [email protected]
GitHub: https://github.com/vaithak/GeomScale_LP
Tasks completed: Randomized LP - Easy, Medium, Hard

Name: Sharat Bhat Email: [email protected] Github: https://github.com/Sharat-Bhat Tasks: https://github.com/Sharat-Bhat/GSoC_volesti

Name: Kunal Katiyar Email: [email protected] GitHub: https://github.com/KunalKatiyar/GSoC_RandLP

Name: Reyan Ahmed Email: [email protected] GitHub: https://github.com/abureyanahmed/VolEsti_test

Name:Abhishek Agrawal Email:[email protected] GitHub:Easy-task: https://github.com/abhishek8764/A-comparative-study-of-uniform-high-dimensional-samplers

Name: Sushovan Haldar Email: [email protected] Github: Easy task of using volesti : https://github.com/SushovanHaldar/geomscalecodes

Name: Anastasios Sourpis Email: [email protected] Github: Apothesis : https://github.com/pithonas/Apothesis

Name: Daniel Pozo Email: [email protected] GitHub: https://github.com/danipozo/uld-test-solutions

Name: Iasonas Nikolaou Email: [email protected] GitHub: (Easy and medium task, randomized LP) https://github.com/jasonNikolaou/GeomScale_gsoc

Name: Fernando Martin Email: fdmartin92 (at) gmail (dot) com GitHub: https://github.com/fmartin92/GeomScale_MonteCarlo (All tasks corresponding to the Monte Carlo integration proposal)

Name: Marios Papachristou Email: papachristoumarios [at) gmail (dot] com GitHub: https://github.com/papachristoumarios/geomscales-challenge (All challenges for ULD)

Name: Eugenio Borghini Email: [email protected] GitHub: https://github.com/eugenusb/GeomScale_LP (Easy and medium test projects for the randomized LP solver)

Name: Muhammad Ali Nayeem Email: [email protected] GitHub: https://github.com/ali-nayeem Test: https://github.com/ali-nayeem/gsoc2020_rand_LP_solver

Name: Bychkov Andrey Email: [email protected] GitHub: https://github.com/AndreyBychkov Test: https://github.com/AndreyBychkov/LIPA (Hard for Optimization and SOS)

Name: Yuan Yuan Email: [email protected] Github:https://github.com/yzy0014 Test:https://github.com/yzy0014/GeomScale Test demo:https://rpubs.com/yzy0014/584976, https://rpubs.com/yzy0014/585064 (High dimensional sampling with applications to structural biology)

Name: Haris Zafeiropoulos Email: [email protected] Github:https://github.com/hariszaf/ Test:https://hariszaf.github.io/gsoc2020/

Name: Mokhwa Lee Email: [email protected] OR [email protected]
Github: https://github.com/Mokhwalee
Test: https://github.com/Mokhwalee/Exercise-Gsos
( Monte Carlo - Easy, Medium, Hard, Bonus )

Name: Antonis Skarlatos
Email: [email protected]
Github: https://github.com/Hepic/
Test: https://github.com/Hepic/Monte-Carlo-integration
(Monte-Carlo-integration: easy/medium/hard/bonus Languages used: R/C++)

Name: Konstantinos Emmanouilidis Email: [email protected]
Github: https://github.com/emmanouilidisk Test: https://github.com/emmanouilidisk/GeomScale_challenges (Challenges for Randomised LP Solver)

Name: Imrane Belhadia Email: [email protected] Github:https://github.com/ImraneBELH Test: https://github.com/ImraneBELH/gsocEvaluation-MonteCarlo.git (Monte Carlo)

Name: Repouskos Panagiotis Email: [email protected] Github: https://github.com/panagiotisrep/volume_approximation/tree/Optimization , https://github.com/panagiotisrep/volume_approximation/tree/SDP-cutting-plane Test: Randomized SDP solver (medium, hard)

Name: Mohammad Taufeeque
Email: [email protected]
Github: https://github.com/taufeeque9
Test: https://github.com/taufeeque9/GSoC_Randomized_SDP_Solver_Test
(Easy and hard task for Randomized SDP Solver)

Name: Bento Natura
Email: [email protected]
Github: https://github.com/platformconclude/volume_approximation/tree/spectra_sampling
Test: Randomized SDP solver (medium)
Github: https://github.com/platformconclude/simple_LP_IPM
Test: Interior point method for linear programming (IPM)

Name: Ritwik Chakraborty
Email: [email protected]
Github: https://github.com/ritwikchakraborty123
Test: :A comparative study of uniform high-dimensional samplers (medium)

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