MNMGDatalog: A Scalable Multi-Node Multi-GPU Datalog Engine (poster)
May 8th, 2025
Categories: Applications, Supercomputing, Data Science, High Performance Computing
Authors
Shovon, A. R., Kumar, S.About
Research Contributions:
- First ever Datalog engine designed for multinode multi-GPU HPC systems, outperforming state-of-the-art shared-memory, distributed-memory, and GPU-based engines
- Introduces novel GPU-Aware communication and buffer preparation strategies for scalable recursive query evaluation
- Supports recursive aggregation for Datalog rules using high-throughput GPU kernels
Resources
URL
Citation
Shovon, A. R., Kumar, S., MNMGDatalog: A Scalable Multi-Node Multi-GPU Datalog Engine (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8th, 2025. https://gcasr.org/2025/posters