GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com β€” skyler-ruiter - Overview

@skyler-ruiter skyler-ruiter Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@skyler-ruiter
skyler-ruiter
Follow
View skyler-ruiter's full-sized avatar

Skyler Ruiter skyler-ruiter

Follow
PhD Student at Indiana University Bloomington in Information Systems Engineering
9 followers Β· 15 following
  • Indiana University Bloomington
  • Bloomington, Indiana, United States
  • 22:23 (UTC -05:00)
  • skylerruiter.dev
  • https://orcid.org/0009-0008-5978-9866
  • in/skylerruiter
  • skylerruiter

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Highlights

  • Pro

Organizations

@GVSU-Computing-Club
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
skyler-ruiter/README.md

Skyler Ruiter

πŸŽ“ PhD Student at Indiana University Bloomington

  • Pursuing a PhD in Intelligent Systems Engineering
  • Minor: Computer Science
  • Undergraduate: BS Computer Science at Grand Valley State University, MI
    • Completed 2024

πŸ—ΊοΈ Bloomington, Indiana (From West Michigan)

πŸ“§ Email: [email protected]

πŸ’Ό Website

πŸ’» Discord: Skylake01 (skylake01)


I am a PhD student in Intelligent Systems Engineering at Indiana University Bloomington, where I work on the NSF-funded FZ Compression Project in Dr. Fengguang Song's research group. My research focuses on high-performance computing, data compression, and sparse matrix storage β€” with a particular interest in building flexible tools that let domain scientists and researchers construct bespoke compression pipelines for their applications and analytical workflows.

I received my B.S. in Computer Science from Grand Valley State University, where I began research on sparse matrix compression for single-cell omics data under Dr. Zachary DeBruine and Dr. Erin Carrier. I also completed a research internship at Sandia National Laboratories, working on the E3SM atmospheric model (HOMME). These experiences shaped my interest in the intersection of performance, memory efficiency, and scientific computing.

My current projects include FZGPUModules, a modular heterogeneous computing framework for customizable graph-composable compression pipelines, and IVSparse, a C++ sparse matrix library optimized for highly redundant sparse data such as genomic data.

Outside of research I enjoy games, caving, hiking, cooking, and mixology.

Pinned Loading

  1. szcompressor/FZGPUModules szcompressor/FZGPUModules Public

    GPU-accelerated graph-composable compression pipeline builder for analytical workflows.

    C++ 9 3

  2. Seth-Wolfgang/IVSparse-dev Seth-Wolfgang/IVSparse-dev Public

    C++ 2

  3. cuSZ cuSZ Public

    Forked from szcompressor/cuSZ

    A GPU accelerated error-bounded lossy compression for scientific data.

    C++

  4. cuda_nccl_stf_graph_algs cuda_nccl_stf_graph_algs Public

    Final Project for IU ISE Spring 2025 Distributed Systems and High Performance Graph Analytics

    C++

  5. skyler-ruiter.github.io skyler-ruiter.github.io Public

    HTML

  6. E3SM E3SM Public

    Forked from E3SM-Project/E3SM

    Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.

    Fortran

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402520 β€” GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800Γ—600. No cookies required.