Graphie: Large-Scale Asynchronous Graph Traversals on Just a GPU. - Wei Han; Daniel Mawhirter; Bo Wu 002; Matthew Buland (PACT, 2017)

ApproxG: Fast Approximate Parallel Graphlet Counting Through Accuracy Control. - Daniel Mawhirter; Bo Wu 002; Dinesh P. Mehta; Chao Ai (CCGrid, 2018)

Taming a Graph Hairball: Local Exploration in a Global Context. - James Abello; Daniel Mawhirter; Kevin Sun 003 (Business and Consumer Analytics: New Ideas, 2019)

GRNN: Low-Latency and Scalable RNN Inference on GPUs. - Connor Holmes; Daniel Mawhirter; Yuxiong He; Feng Yan 001; Bo Wu 002 (EuroSys, 2019)

Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters. - Wei Zhang 149; Weihao Cui; Kaihua Fu; Quan Chen 002; Daniel Edward Mawhirter; Bo Wu 002; Chao Li 009; Minyi Guo (ICS, 2019)

FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization. - Wei Han; Daniel Mawhirter; Bo Wu 002; Lin Ma 007; Chen Tian 002 (LCPC, 2019)

AutoMine: harmonizing high-level abstraction and high performance for graph mining. - Daniel Mawhirter; Bo Wu 002 (SOSP, 2019)

GraphZero: Breaking Symmetry for Efficient Graph Mining. - Daniel Mawhirter; Sam Reinehr; Connor Holmes; Tongping Liu; Bo Wu 002 (CoRR, 2019)

Dryadic: Flexible and Fast Graph Pattern Matching at Scale. - Daniel Mawhirter; Sam Reinehr; Wei Han; Noah Fields; Miles Claver; Connor Holmes; Jedidiah McClurg; Tongping Liu; Bo Wu 002 (PACT, 2021)

ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing. - Jordan Schmerge; Daniel Mawhirter; Connor Holmes; Jedidiah McClurg; Bo Wu 002 (RSDHA@SC, 2021)

GraphZero: A High-Performance Subgraph Matching System. - Daniel Mawhirter; Sam Reinehr; Connor Holmes; Tongping Liu; Bo Wu 002 (ACM SIGOPS Oper. Syst. Rev., 2021)