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

  • References