08/26
(01) Introduction of parallel processing
a. Shared Memory Multipleprocessor b. Distributed Memory Multiplecomputer(02) Concept of CUDA
a. CUDA supported GPUs b. What is CUDA ? (03) CUDA installation
a. CUDA driver & toolkit b. CUDA SDK c. Meet DeviceQuery (04) CUDA programming model
a. CUDA execution flow b. Index system in kernel function
c. Streaming Multiprocessor(SM) d. NVCC - NVidia C Compiler
e. CUDA Runtime library f. example: CUDA memory management
(05) CUDA memory hierarchy
a.Register b. Shared memory c. Local memory d. Global memory e. L1/L2 cache
f. Constant memory g. Texture memory
08/27
(06) Your First CUDA program : Vector Addition
a. sequencial b. 1 B 1 T c. 1 B N T d. M B N T e. CUDA event functions
(07) CUDA performance tunnig basic : Vector inner productor
a. sequencial b. naive c. atomic function b. shared memory
e. tree reduction f. kernel execution time distribution analysis (08) CUDA programming skills
a. Device I/O bridge b. Separate Compilation
c. Flexible use of CUDA function type qualifiers d. fast CUDA porting model 08/28
(09) Profilers
a. Valgrind b. NVVP - NViadia Visual Profiler (10) CUDA Stream and Concurrency
a. Concurrency b. Streams c. Explicit Synchronization d. Stream Scheduling e. hyper - Q
(11) Multiple GPUs
a. CUDA + OpenMP b. Concurrency for multiple CUDA Kernel (12) Something for Adcance Programmers
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