osre24

Project Idea Description Topics: Storage Systems, Erasure Coding Skills: C/C++, Java, Bash scripting, Linux, HDFS, ZFS, Erasure Coding Difficulty: Hard Size: Large (350 hours) Mentors: Meng Wang (Main contact person) and Anjus George Multi-Level Erasure Coding (MLEC), which performs erasure coding at both network and local levels, has seen large deployments in practice.

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.

Project Idea description We aim to characterize the performance of genomic workflows on HPC clusters by conducting two research activities using a broad set of state-of-the-art genomic applications and open-source datasets.

The goals is to enable a more productive flow where the ASIC/FPGA designer can work with multiple hardware description languages like CHISEL, Pyrope, or Verilog. There are several projects, some compiler infrastructure around LiveHD.

Drishti is a novel interactive web-based analysis framework to visualize I/O traces, highlight bottlenecks, and help understand the I/O behavior of scientific applications. Drishti aims to fill the gap between the trace collection, analysis, and tuning phases.

h5bench is a suite of parallel I/O benchmarks or kernels representing I/O patterns that are commonly used in HDF5 applications on high performance computing systems. h5bench measures I/O performance from various aspects, including the I/O overhead, and observed I/O rate.

StatWrap is a free and open-source assistive, non-invasive discovery and inventory tool to document research projects. It inventories project assets (e.g., code files, data files, manuscripts, documentation) and organizes information without additional input from the user.

The OpenROAD project is a non-profit project, originally funded by DARPA with the aim of creating open-source EDA tools; an Autonomous flow from RTL-GDSII that completes < 24 hrs, to lower cost and boost innovation in IC design.