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.