reproducibility

Hi! My name is Alex, an undergraduate student at the University of Chicago. As part of the Reproducible Evaluation of Multi-level Erasure Coding, my proposal under the mentorship of John Bent and Anjus George aims to build a platform to reproducibly evaluate the performance and durability of MLEC (Multi-Level Erasure Coding) for large-scale storage systems under different design configurations.

Hi! I’m Justin, an undergraduate at the University of Chicago. As part of the Flashnet project my proposal under the mentorship of Daniar Kurniawan and Haryadi S. Gunawi aims to port the Flashnet model into the Linux kernel.

Hello there! I am Faishal Zharfan, a senior year student studying Telecommunication Engineering at Bandung Institute of Technology (ITB) in Bandung, Indonesia, my proposal. I’m currently part of the Edgebench under the mentorship of Yuyang Huang.

This project aims to design a real-time performance shift detection algorithm for high-performance computing clusters, ensuring minimal overheads.

Hey, I am Shekhar and I am one of several students who are working on the project Using Reproducibility in Machine Learning Education under the mentorship of Fraida Fund. My Proposal aims to develop interactive educational materials about reproducibility in machine learning, for use in graduate and undergraduate classes.

Hi! I am Jack, a Masters student at the National University of Singapore. In GSoC 2023, I will be undertaking the project entitled Update OpenROAD Documentation and Tutorials to improve the user experience and documentation of this exciting open-source RTL-to-GDSII framework, jointly mentored by Indira Iyer Almeida and Vitor Bandeira.

Hello everyone! My name is Luiza, I am an eighth-semester Bsc Biological Sciences student from São Paulo, Brazil. As part of the LabOp working group, my proposal under the mentorship of Dan Bryce and Tim Fallon aims to build a conversor that takes normal laboratory protocols and translates them into machine executable protocols.

The project plans to understand the impact of missing settings on performance of the target open-source database systems.

Hello everyone, my name is Jesse and I’m proud to be a fellow in this 2023 Summer of Reproducibility program, contributing to noWorkflow project. My proposal was accepted under the mentorship of João Felipe Pimentel and Juliana Freire and aims to work mapping and testing the capture of the provenance in typical Data Science and Machine Learning experiments.

As part of the Teaching Computer Networks with Reproducible Research project my proposal under the mentorship of Fraida Fund aims to develop a classroom competition for adaptive video delivery policies, leveraging an existing open-source reproducible result.