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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
Students will understand parallelization methods and will be able to write a simple CUDA-based code. |
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
J. Sanders, E. Kandrot: CUDA by example - An Introdiction to General-Purpose GPU Programming (Adisson-Wesley 2011, 978-0-13-138768-3) D. B. Kirk, W-m. W. Hwu: Programming Massively Parallel Processors - A Hands-on Approach (Elsevier 2010, 978-0-12-381472-2) |
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
talks(30%), exercise(30%), project (40%) |
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
Interactive evaluation without a formal test or exam |
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
1. History: D825, transputers. Unix world: MIMD threads. Platforms (MPI etc.). SIMD and GPUs. Processors, cores, threads. 2. Algorithmization: Linear algebra (dense, sparse). Grid methods (PDE). MC and MD: domain decomposition, linked-cell list. Graphics: rendering. 3. C and C++ review. 4. Message passing and threads: OpenMP, MPI. 5. GPU - architecture. 6. CUDA basics (NVIDIA Teaching Kit modules 1,2). 7. CUDA Parallelism Model, memory (NTK modules 3-6). 8. Parallel Computation Patterns (NTK modules 7-9). 9. Floating point (NTK module 12). 10. Case study: Electrostatic potential (NTK Module 16). |
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Last update: Kolafa Jiří prof. RNDr. CSc. (04.09.2019)
C-language basics and experience with linux. |
Teaching methods | ||||
Activity | Credits | Hours | ||
Práce na individuálním projektu | 0.2 | 5 | ||
Účast na seminářích | 0.2 | 5 | ||
0 / 2 | 10 / 56 |