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- Jiyuan Zhang
Accelerating the Motifs of Machine Learning Applications on Modern Processors
PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
- Jiyuan Zhang, Yi Lu, Daniele G. Spampinato and Franz Franchetti
FESIA: A Fast and Efficient Set Intersection Approach on Modern CPUs
Proc. IEEE International Conference on Data Engineering (ICDE), 2020
- Jiyuan Zhang, Daniele G. Spampinato and Franz Franchetti
FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs
North East Database Day (NEDB), 2020, Poster
- Jiyuan Zhang, Franz Franchetti and Tze-Meng Low
High Performance Zero-Memory Overhead Direct Convolutions
Proc. International Conference on Machine Learning (ICML), 2018
- Jiyuan Zhang, Daniele G. Spampinato, S. McMillan and Franz Franchetti
Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System
Proc. IEEE High Performance Extreme Computing (HPEC), 2018
- Jiyuan Zhang, Tze-Meng Low, Qi Guo and Franz Franchetti
A 3D-Stacked Memory Manycore Stencil Accelerator System
Proc. Workshop on Near Data Processing (WONDP), 2015