Accelerating mapreduce on a coupled cpu-gpu architecture L Chen, X Huo, G Agrawal SC'12: Proceedings of the International Conference on High Performance …, 2012 | 142 | 2012 |
Optimizing mapreduce for gpus with effective shared memory usage L Chen, G Agrawal Proceedings of the 21st international symposium on High-Performance Parallel …, 2012 | 80 | 2012 |
Exploiting Recent SIMD Architectural Advances for Irregular Applications L Chen, P Jiang, G Agrawal International Symposium on Code Generation and Optimization (CGO'16), 2016 | 50 | 2016 |
Efficient and simplified parallel graph processing over CPU and MIC L Chen, X Huo, B Ren, S Jain, G Agrawal 2015 IEEE International Parallel and Distributed Processing Symposium, 819-828, 2015 | 38 | 2015 |
Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications P Jiang, L Chen, G Agrawal Proceedings of the 2016 International Conference on Supercomputing (ICS'16), 2016 | 25 | 2016 |
Revealing parallel scans and reductions in recurrences through function reconstruction P Jiang, L Chen, G Agrawal Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 12 | 2018 |
A pattern specification and optimizations framework for accelerating scientific computations on heterogeneous clusters L Chen, X Huo, G Agrawal 2015 IEEE International Parallel and Distributed Processing Symposium, 591-600, 2015 | 9 | 2015 |
Scheduling methods for accelerating applications on architectures with heterogeneous cores L Chen, X Huo, G Agrawal 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 9 | 2014 |
Supporting Online Analytics with User-Defined Estimation and Early Termination in a MapReduce-Like Framework Y Wang, L Chen, G Agrawal International Workshop on Data-Intensive Scalable Computing Systems (DISCS'15), 2015 | 3 | 2015 |
Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors L Chen The Ohio State University, 2015 | | 2015 |