Daniel J. Magee

Mechanical Simulation Engineer

  • 2508 NW Coolidge Way, Corvallis, OR, 97330 U.S.A.
 
Profile:

Mechanical Engineer pursuing MS specializing in thermal-fluid sciences with an emphasis in heterogenous computer architectures for high performance computing of computational fluid dynamics.

 
Skills:
  • MATLAB
  • Python
  • CUDA
  • C/C++
  • Bash
  • git
  • GNU Make
  • Univa Grid Engine
  • MPI
  • OpenMP
  • Numerical Analysis
  • Search Algorithms
  • LaTeX
  • Markdown
  • HTML
  • MS Office
  • Passed FE Exam
 
Experience:

Graduate Research Assistant

Oregon State University --- Niemeyer Research Group

March 2016 - Present

Developing communication-avoiding algorithms for CPU and GPU architectures and heterogenous compute clusters to accelerate the performance of explicit, time-stepping numerical schemes for Partial Differential Equations. Designing experiments for empirical analysis of these algorithms using python and CUDA. Communicating the results of this research in presentations and journal papers and developing GUI front-ends to facilitate the dissemination of these concepts.

Process Engineering Intern

HP Inc.

March 2015 - September 2015

Developed experiments and analytical procedures involving linear regression and curve fitting to chararacterize adhesive cure process. Designed fixtures for Helium leak testing and geometric analysis of delicate component.

Facilities Engineering Intern

Daimler Trucks North America

March 2014 - September 2014

Mapped and analyzed compressed air system throughout ten acre facility and made specific improvement recommendations. Designed and solicited bids for automated spray system in elecrophoretic coating process.

Teaching assistant

Oregon State University

June 2013 - March 2016

ENGR 112: MATLAB - 6 semesters; ME 317: Intermeidate Dynamics and ME 499/599: Python - 1 semester Assessed student work according to prescribed standards. Instructed students individually in the subject area during labs and office hours.

 
Publications:

An initial investigation of the performance of GPU-based swept time-space decomposition

Paper --- Project Repository --- AIAA SciTech 2017 Presentation

Accelerating solutions of PDEs with GPU-based swept time-space decomposition

JCP Paper

 
Education:
Oregon State University Corvallis,OR
MS Mechanical Engineering Current GPA: 3.59 Graduation: 06/18
BS Mechanical Engineering GPA: 3.78 Graduation: 03/16
Temple University Philadelphia, PA
BS English (Honors) GPA: 3.42 Graduation: 05/06