| Automine: harmonizing high-level abstraction and high performance for graph mining D Mawhirter, B Wu Proceedings of the 27th ACM Symposium on Operating Systems Principles, 509-523, 2019 | 90 | 2019 |
| Graphie: Large-scale asynchronous graph traversals on just a GPU W Han, D Mawhirter, B Wu, M Buland 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 74 | 2017 |
| GRNN: Low-Latency and Scalable RNN Inference on GPUs C Holmes, D Mawhirter, Y He, F Yan, B Wu Proceedings of the Fourteenth EuroSys Conference 2019, 41, 2019 | 58 | 2019 |
| Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters W Zhang, W Cui, K Fu, Q Chen, DE Mawhirter, B Wu, C Li, M Guo Proceedings of the ACM international conference on supercomputing, 58-68, 2019 | 43 | 2019 |
| Graphzero: A high-performance subgraph matching system D Mawhirter, S Reinehr, C Holmes, T Liu, B Wu ACM SIGOPS Operating Systems Review 55 (1), 21-37, 2021 | 33 | 2021 |
| Graphzero: Breaking symmetry for efficient graph mining D Mawhirter, S Reinehr, C Holmes, T Liu, B Wu arXiv preprint arXiv:1911.12877, 2019 | 29 | 2019 |
| Dryadic: Flexible and fast graph pattern matching at scale D Mawhirter, S Reinehr, W Han, N Fields, M Claver, C Holmes, J McClurg, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 16 | 2021 |
| ApproxG: Fast approximate parallel graphlet counting through accuracy control D Mawhirter, B Wu, D Mehta, C Ai 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018 | 16 | 2018 |
| Flare: Flexibly sharing commodity gpus to enforce qos and improve utilization W Han, D Mawhirter, B Wu, L Ma, C Tian Languages and Compilers for Parallel Computing: 32nd International Workshop …, 2021 | 3 | 2021 |
| Taming a Graph Hairball: Local Exploration in a Global Context J Abello, D Mawhirter, K Sun Business and Consumer Analytics: New Ideas, 467-490, 2019 | 3 | 2019 |
| CounterTop: Little Patterns in Big Graphs DE Mawhirter Colorado School of Mines, 2023 | | 2023 |
| ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing J Schmerge, D Mawhirter, C Holmes, J McClurg, B Wu 2021 IEEE/ACM Redefining Scalability for Diversely Heterogeneous …, 2021 | | 2021 |
