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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
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 Aug 19, 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] 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 Aug 6, 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
Streaming into the Future: Adding Real-Time Processing to FasTensor
Hey there, HPC enthusiasts and fellow coders! I’m excited to share my progress on this summer’s Google Summer of Code project under UC OSPO’s FasTensor. Here’s a glimpse into how we’re pushing the boundaries of real-time data processing.
Aditya Narayan
,
Bin Dong
,
John Wu
Last updated on Jul 31, 2024
GSoC'24
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gsoc2024
,
osre2024
Mid-term Blog: Automatic reproducibility of COMPSs experiments through the integration of RO-Crate in Chameleon
Introduction Hello everyone I’am Archit from India. An undergraduate student at the Indian Institute of Technology, Banaras Hindu University, IIT (BHU), Varanasi. As part of the Automatic reproducibility of COMPSs experiments through the integration of RO-Crate in Chameleon my proposal under mentorship of Raül Sirvent aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure.
Archit Dabral
,
Raül Sirvent
Last updated on Aug 24, 2024
SoR
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