reproducibility

Massive storage systems rely heavily on erasure coding (EC) to protect data from drive failures and provide data durability. Existing storage systems mostly adopt single-level erasure coding (SLEC) to protect data, either performing EC at the network level or performing EC at the local level.

High-performance computing (HPC) clusters typically suffer from performance degradation over time. The heterogeneous nature of clusters and the inevitable defects in various infrastructure layers will result in a harder performance prediction inside.

The OpenROAD project is a non-profit, DARPA-funded and Google sponsored project committed to creating low-cost and innovative Electronic Design Automation (EDA) tools and flows for IC design. Our mission is to democratize IC design, break down barriers of cost and access and mitigate schedule risk through native and open source innovation and collaboration with ecosystem partners.

The computer science and engineering classroom is as essential part of the reproducibility “ecosystem” - because of broad reach and potential for big impact, and because for many students, the classroom is their first exposure to research in their field.

Reproducibility and Artifact Evaluation efforts have focused on reproducing the results, but not necessarily on storing, visualizing and making the results accessible. This set of projects builds the initial building blocks to log, capture, and visualize experiments.

Project ideas related to reproducibility and package management, especially as it relates to store type package managers (NixOS, Guix or Spack). Lead Mentor: Farid Zakaria mailto:fmzakari@ucsc.edu Investigate the dynamic linking landscape Topics: Operating Systems Compilers Linux Package Management NixOS Skills: Experience with systems programming and Linux familiarity Difficulty: Moderate to Challenging Size: Large (350 hours) Mentors: Farid Zakaria & Tom Scogland mailto:scogland1@llnl.