Parallel and Intelligent Computing Lab
MOST Research Grants
2022-2023 Research on neural network automatic parameter adjustment system and work scheduling strategy based on heterogeneous parallel distributed architecture
2020-2021 Research on Parallelism Development of Support Vector Machine in GPU
2019 Research on Parallel Optimization of Support Vector Machine in GPU
2017 SRFLP for accelerating large-scale facility deployment using GPU
2015 Research on GPU Parallelization Using Tabu Search to Solve the Problem of Streamlined Production Arrangement
2014 Research on Optimization of BLASTP Parallel Computing in Graphics Accelerator
2013 Research on High-speed Execution of Bioinformatics Algorithms on GPU
2012 Research on Optimization of Parallel Programming of Dynamic Programming Algorithms in Graphics Processor
2010 Research on Parallelization of CLIPS Expert System Language
2009 Design of self-scheduling strategy in parallel CLIPS language and its interpreter
2006 Research on Improving Execution Performance of Single-Core Ultrascalar Processor
2005 Research on Improving Memory Access Performance in Single Chip Multiprocessor
2004 Research on a Processing Unit Assignment Strategy for Single-chip Multiprocessor Architecture with Dual Execution Mode
2003 2003 IEEE Pacific Communications, Computer and Signal Processing Symposium
2003 Research on Single-chip Multiprocessor with Dual Execution Mode
2001 Research on Single Chip Multiprocessor Design
MOST Research Grants for University Students
Research on Parallelization of Canny Edge Detection Algorithm in Graphic Processor
Accelerate the effectiveness of the self-scheduling strategy mechanism based on the characteristics of the multi-core architecture
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