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SC@TMS
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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)
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)
Software Tools
・
Linux
(2011)
・GPU
GPU and matrix computation
(2010)
GPU Quick Start with Case Study in Shift Inverse Power Method
(2011)
CPU and GPU Architecture
(2011)
GPU Memory with Case Study in Median Filter
(2011)
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