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osre24
Final Blogpost: HDEval's LLM Benchmarking for HDL Design
Introduction Hello everyone! I’m Ashwin Bardhwaj, an undergraduate student studying at UC Berkeley. As part of Micro Architecture Santa Cruz (MASC) my proposal under the mentorship of Jose Renau and Sakshi Garg looks to create a suite of benchmark programs for HDEval.
Ashwin Bardhwaj
Last updated on Aug 24, 2024
Deriving Realistic Performance Benchmarks for Python Interpreters
Hi, I am Mrigank. I am one of the Summer of Reproducibility fellows for 2024, and I will be working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah.
Mrigank Pawagi
Last updated on Aug 19, 2024
Midterm Report: Deriving Realistic Performance Benchmarks for Python Interpreters
Hi, I am Mrigank. As a Summer of Reproducibility 2024 fellow, I am working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah. In this post, I will provide an update on the progress we have made so far.
Mrigank Pawagi
Last updated on Sep 16, 2024
Final Blog: FEP-Bench: Benchmarking for Enhanced Feature Engineering and Preprocessing in Machine Learning
Background Hello, I’m Lihaowen (Jayce) Zhu, a 2024 SoR contributor for the FEP-bench project, under the mentorship of Yuyang (Roy) Huang. Before we started, let’s recap the goal of our project and our progress until mid term.
Lihaowen (Jayce) Zhu
Last updated on Aug 19, 2024
Final Blog: FSA - Benchmarking Fail-Slow Algorithms
Introduction Hello! I hope you’re enjoying the summer as much as I am. I’m excited to join the SOR community as a 2024 contributor. My name is Xikang Song, and I’m thrilled to collaborate with mentors Ruidan Li and Kexin Pei on the FSA-Benchmark project.
Kexin Pei
,
Ruidan Li
,
Xikang Song
Last updated on Aug 18, 2024
Data Leakage in Applied ML
Hello everyone! I have been working on reproducing the results from Characterization of Term and Preterm Deliveries using Electrohysterograms Signatures. This paper aims to predict preterm birth using Support Vector Machine with RBF kernel.
Shaivi Malik
Last updated on Sep 29, 2024
SoR
Midterm Report : Halfway through medicinal data visulaization using PolyPhy/Polyglot
Introduction Hello! My name is Ayush Sharma, a machine learning engineer and researcher based out of Chandigarh, a beautiful city in Northern India known for its modern architecture and green spaces.
Ayush Sharma
Last updated on Aug 14, 2024
GSoC'24
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natural language processing
Midterm Check-In: Progress on the AutoAppendix Project
Hi all, I’m happy to share a quick update on the AutoAppendix project as we’re about halfway through. We’ve made some steady progress on evaluating artifacts from SC24 papers, and we’re starting to think about how we can use what we’ve learned to improve the artifact evaluation process in the future.
Klaus Kraßnitzer
Last updated on Sep 9, 2024
SoR
[MidTerm] ScaleRep: Reproducing and benchmarking scalability bugs hiding in cloud systems
Hey there, scalability enthusiasts and fellow researchers! I’m excited to share my progress on the ScaleRep project for SoR 2024 under the mentorship of Bogdan "Bo" Stoica and Yang Wang. Here’s a glimpse into how we’re tackling scalability bugs in large-scale distributed systems.
Zahra Nabila Maharani
Last updated on Sep 21, 2024
SummerofReproducibility24
Midway Through GSoC
Hello everyone! I’m Joel Tony, and I’m excited to share my progress update on the Drishti project as part of my Google Summer of Code (GSoC) experience. Over the past few weeks, I’ve been diving deep into the world of I/O visualization for scientific applications, and I’m thrilled to tell you about the strides we’ve made.
Joel Tony
,
Jean Luca Bez
Last updated on Aug 6, 2024
GSoC'24
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