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Matrix Comp. NLA (NTNU, NTU, NCKU)
Introduction to Muilti-core CPU and GPU Computation
Fast Algorithms (NCKU)
Real-world Applications of High-performance Computing (NTU)
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Parallel Computing for Data Science and Scientific Computing (NSYSU)
Numerical Computing with Python: Making Sense of Parallel Computing (NCCU)
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Numerical Analysis (Tsung-Ming Huang)
SC@TMS
Home
Current Courses
Matrix Comp. NLA (NTNU, NTU, NCKU)
Introduction to Muilti-core CPU and GPU Computation
Fast Algorithms (NCKU)
Real-world Applications of High-performance Computing (NTU)
High-performance Computing (NCU)
Parallel Computing for Data Science and Scientific Computing (NSYSU)
Numerical Computing with Python: Making Sense of Parallel Computing (NCCU)
Resources
Software Tools
Short Courses
Formal Courses
Numerical Analysis (Tsung-Ming Huang)
More
Home
Current Courses
Matrix Comp. NLA (NTNU, NTU, NCKU)
Introduction to Muilti-core CPU and GPU Computation
Fast Algorithms (NCKU)
Real-world Applications of High-performance Computing (NTU)
High-performance Computing (NCU)
Parallel Computing for Data Science and Scientific Computing (NSYSU)
Numerical Computing with Python: Making Sense of Parallel Computing (NCCU)
Resources
Software Tools
Short Courses
Formal Courses
Numerical Analysis (Tsung-Ming Huang)
GPU Quick Start with Case Study
in Shift Inverse Power Method
Computational Science Software Development 2011
Instructor : 余承翰先生（台灣大學數學系）
Slide:
[PDF]
Video:
gpu1a
,
gpu1b
,
gpu1c
,
gpu1d
,
gpu1e
,
gpu1f
,
gpu1g
Reference:
[cssd_2011_gpu.tar.gz]
[README_gpu.txt]
[https://sites.google.com/site/ychpersonal/median-filter]
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