Reports

Hello! I am Srishti Jaiswal and this is my second blog post for the 2023 Summer of Reproducibility Fellowship. Introduction As I reach the halfway mark of my internship journey, I have had the incredible opportunity to work on a project that revolves around reproducing an adaptive video research result using cloud-based experimentation.

As part of the Open Source Autonomous Vehicle Controller Project my proposal under the mentorship of Aaron Hunter and Carlos Espinosa aimed to create comprehensive technical documentation to help onboard new users of the OSAVC controller.

We are currently midway into the OSRE 2023 program and the following post lists the progress that I have made on the project so far. As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time our overall goal was to enumerate the effect of sequence data quality on execution times.

This post describes our midterm work status and some achievements we have done so far in the project for the noWorkflow package. The initial weeks I started doing a bibliographical review on reproducibility in the Data Science (DS) and Machine Learning (ML) realms.

Hi everyone! I’m Manank Patel, (link to my Introduction post) and am currently working on Efficient Communication with Key/Value Storage Devices. The goal of the project was to leverage the capabilities of io_uring and implement a new backend driver.

Introduction Hello, it’s me again, Faishal, a SoR project contributor for the edgebench project. For the past these two months, my mentors and I have been working on improving the performance of our system.

Over the past few weeks, our platform development has been progressing steadily, and we are excited to share the milestones we have achieved so far. As planned in our introductory blog, we have successfully laid the groundwork for the platform with the guidance and support of our mentor.

Greetings everyone, I’m Kangrui. Over the past few weeks, we’ve dedicated our efforts and have consequently made significant progress in our drift detection methods. Now, I’m excited to present to you a detailed elaboration on how we prompted and fine-tuned Llama2 to efficiently carry out the drift detection task.

Introduction Motivation The growing popularity of Deep Neural Networks has resulted in a substantial increase in demand for Graphics Processing Units (GPUs). GPUs are crucial for conducting matrix computations in DNN training and inference.

Mid-Term Evaluation Update Hello! I’m Nick, a GSoC contributor for the Proactive Data Containers (PDC) Project. Over the past few weeks I’ve worked on verifying the functionality of the Python API for the PDC project and ensuring the smooth onboarding for new users of the data containers.