Course info

Tahun Akademik:
Genap 2023/2024
Kelas-Offr:
K2-K2
Deskripsi:
Cloud Computing: 1. Definition, 2. History, 3. Hardware and Software, 5. Cloud Computing Services, 6. Parallel Programming. CPU Parallel Programming: 1. Principles of parallel CPU programming, 2. Use of Open MPI and OpenMP, 3. Program creation. Parallel CPU programming on the problems of 3D differential equations: 1. 3D wave propagation, 2. 3D heat propagation, 3. 3D fluid flow. GPU Parallel Programming: 1. Principles of parallel CPU programming, 2. Use of CUDA, 3. Program making. Parallel GPU programming on the problems of 3D differential equations: 1. 3D wave propagation, 2. 3D heat propagation, 3. 3D fluid flow.
Capaian Pembelajaran

• Melalui kerja Proyek, peserta menunjukkan konsep-konsep teoritis dan prinsip-prinsip bidang khusus fisika, yaitu Fenomena Non Linear dan Instrumentasi Fisika; mampu mendiseminasikan hasil kajian masalah dan perilaku fisis dalam bentuk lisan, tulisan, dan visual sesuai kaidah ilmiah baku yang bebas plagiasi; mampu menunjukkan kinerja mandiri, bermutu, dan terukur.
• Melalui kerja Proyek, peserta menunjukkan konsep-konsep teoritis dan prinsip-prinsip bidang khusus fisika, yaitu Fenomena Non Linear dan Instrumentasi Fisika; mampu mendiseminasikan hasil kajian masalah dan perilaku fisis dalam bentuk lisan, tulisan, dan visual sesuai kaidah ilmiah baku yang bebas plagiasi; mampu menunjukkan kinerja mandiri, bermutu, dan terukur

Daftar Pustaka:

• Cloud Computing, A Practical Approach. Toby Velte, Anthony Velte, Robert Elsenpeter. Mc Graw-Hill. 2009.
• Parallel Scientific Computing in C++ and MPI. George Em Karniadakis and Robert M. Kirby II. Cambridge University Press. 2010
• Python Parallel Programming Cookbook: Master efficient parallel programming to build powerful applications using Python. Giancarlo Zaccone. PACKT Publishing. Elvesier. 2015.
• CUDA programming: A developer's guide to parallel computing with GPUs. Shane Cook.
• Axelson, Jan. 2000. Serial PORT Complete. Madison: Lakeview Research.