The document summarizes a GPU accelerated PDE solver project led by Xiaohe Liu as project engineer with a team of 4 software engineers. The team built a Helmholtz equation solver for heat transfer that was accelerated up to 200 times faster using MPI parallelization and CUDA/OpenACC-based GPU algorithms. A Qt-based GUI was also developed to visualize the temperature field data. As project engineer, Xiaohe prepared a contract book with a PERT chart and Gantt chart, monitored the project schedule, and led the team to complete the project 10 days ahead of schedule.

1. ENGN2912J Fall 2016 Course Project:
A GPU Accelerated PDE Solver
Xiaohe Liu as Project Engineer
and
Xiuqi Li, Shihong Li & Yixiang Deng as Software Engineers
Providence, RI · Nov. – Dec. 2017
--Data visualization of the temperature field on a 2D squared field solved using our solver.

2. 2
 Led a team of 4 to build a fast Helmholtz
equation solver for heat transfer problem on
a 2D squared field.
 Accelerated the solver up to 200 times
faster using MPI parallel method and CUDA
& OpenACC based GPU algorithm.
GPU-Accelerated PDE Solver Qt-Based GUI & Data Visualization
Speed up
using
CUDA
Speed up
Using
MPI parallel
 Developed a Graphical User Interface using
Qt widget class.
 Incorporated the result of data visualization
into the GUI.
Screenshots
of the software
In use
KEY ACHIEVEMENTS OF THE PROJECT

3. 3
 Prepared a contract book including a PERT
chart and a Gantt chart.
 Estimated project budget and prepared risk
plan.
Project Planning Project Execution
PERT
Chart
 Monitored project execution and provided
weekly updated schedules to address
deviations from the plan.
 Led and coordinated the team.
 Accelerated the project by 10 days.
XIAOHE’S WORK AS A PROJECT ENGINEER
Gantt
Chart