osre24

Hi everyone, I’m excited to wrap up the AutoAppendix project with our final findings and insights. Over the course of this initiative, we’ve worked to assess the reproducibility of artifacts submitted to the SC24 conference and create guidelines that aim to improve the standard for reproducible experiments in the future.

Reproducing and validating fixes for throttling bugs in HDFS improved system stability and performance.

Final Report: Stream processing support for FasTensor Project Description FasTensor is a scientific computing library specialized in performing computations over dense matrices that exhibit spatial locality, a characteristic often found in physical phenomena data.

Hello! I’m Joanna! I have been contributing to the ML in Detecting and Addressing System Drift project under the mentorship of Ray Andrew Sinurat and Sandeep Madireddy. My project aims to design a pipeline to evaluate drift detection algorithms on system traces.

Hello everyone! I’m Triveni, a Master’s student in Computer Science at Northern Illinois University (NIU). I’m excited to share my progress on the OSRE 2024 project Categorize Differences in Reproduced Visualizations focusing on data visualization reproducibility.

Introduction Hello! I’m Palaniappan R, an undergraduate student at BITS Pilani, India. Over the past few months, I’ve been working as a GSoC contributor on the LLM Assistant for OpenROAD - Model Architecture and Prototype project, under the mentorship of Indira Iyer and Jack Luar.

Background Hello there! I’m William and this is my final blog for my proposal “Developing A Comprehensive Pipeline to Benchmark Drift Management Approaches” under the mentorship of Ray Andrew Sinurat and Sandeep Madireddy under the LAST project.

Hi everyone! I am Ujjwal Shekhar, a Computer Science student at the International Institute of Information Technology - Hyderabad. I am excited to share my work on the project titled “Hardware Hierarchical Dynamical Systems” as part of the Open Source Research Experience (OSRE) program and Google Summer of Code.

Hello! In this blog post, I will explore a common issue in machine learning called data leakage, using an example from the paper: Benedetti, P., Perri, D., Simonetti, M., Gervasi, O.

The project aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure