Project Info
Large-Scale Graph Analytics Using Multiple GPUs
Bo Wu | bwu@mines.edu
1. Understanding the bottleneck of multi-GPU graph analytics.
2. Building a runtime to minimize inter-GPU communication.
3. Demonstrating >10X speedups over CPU-based graph processing systems.
More Information
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8091248
https://arxiv.org/pdf/1701.01170.pdf
Grand Engineering Challenge: Not applicable
Student Preparation
Qualifications
The student should be familiar with CUDA programming.
Time Commitment
60 hours/month
Skills/Techniques Gained
Performance optimization
GPU programming
Graph analytics
Mentoring Plan
The student can attend our weekly group meetings. I’ll also have bi-weekly individual meetings with the student.