machine learning

Project Idea Description Topics: Storage systems, machine learning Skills: Python, PyTorch, Bash scripting, Linux, Machine Learning modeling Difficulty: Hard Size: Large (350 hours) Mentors: Ruidan Li (primary contact), Kexin Pei In the realm of modern applications, achieving not only low but also predictable response times is a critical requirement.

Topics: video analytics, machine learning Skills: Python, PyTorch, Bash scripting, Linux, Machine Learning modeling Difficulty: Medium Size: Large (350 hours) Mentors: Yuyang (Roy) Huang (contact person), Junchen Jiang Project Idea Description

Topics: storage system, scheduling, distributed system, machine learning Skills: Python, PyTorch, Bash scripting, Linux, Machine Learning modeling Difficulty: Hard Size: Large (350 hours) Mentors: Yuyang (Roy) Huang (contact person), Swami Sundararaman Project Idea Description

Project Idea Description Topics: Storage systems, machine learning Skills: C/C++, Python, PyTorch, Bash scripting, Linux, Machine Learning modeling Difficulty: Hard Size: Large (350 hours) Mentors: Daniar H. Kurniawan (primary contact), Haryadi Gunawi The contemporary landscape of high-performance servers, particularly those designed for data centers and AI/ML training, prominently features solid-state drives (SSDs) and spinning disks (HDDs) as primary storage devices.

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.

The Data Storage Research Vision 2025, organized in an NSF workshop, calls for more “AI for storage” research. However, performing ML-for-storage research can be a daunting task for new storage researchers.

A high-throughput workflow execution system is needed to continuously gain insights from th e increasingly abundant genomics data. However, genomics workflows often have long execution times (e.g., hours to days) due to their large input files.