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CPUs
2024
- S. Fu, N. Zhang and Franz Franchetti
Accelerating High-Precision Number Theoretic Transforms using Intel AVX-512
Proc. Parallel Architectures and Compilation Techniques (PACT), 2024
- E. Tang, James C. Hoe and Franz Franchetti
Magic Memory: A Memory-Centric Declarative Programming Paradigm to Enable High Productivity on Heterogeneous Systems
Proc. SRC TECHCON, 2024
2020
- 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
- Mark Blanco, S. McMillan and Tze-Meng Low
Towards an Objective Metric for the Performance of Exact Triangle Count
Proc. High Performance Extreme Computing (HPEC), 2020
2019
- Mark Blanco, Tze-Meng Low and Kyungjoo Kim
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU
Proc. High Performance Extreme Computing (HPEC), 2019
2018
- Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
, 2018
2014
- Tao Cui, R. Yang, Gabriela Hug and Franz Franchetti
Accelerated AC Contingency Calculation on Commodity Multi-core SIMD CPUs
Proc. IEEE Power and Energy Society General Meeting (PES-GM), 2014
2012
- Tao Cui and Franz Franchetti
Optimized Parallel Distribution Load Flow Solver on Commodity Multi-core CPU
Proc. IEEE High Performance Extreme Computing (HPEC), 2012