Parallel Fortran Programming
Master parallel programming techniques using Fortran's high-performance capabilities with OpenMP, MPI, and GPU acceleration.
✅ OpenMP
✅ MPI
✅ CUDA
✅ OpenACC
View Real-world Projects
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Multi-core Optimization
12-core performance boosts using OpenMP thread-level parallelism
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GPU Acceleration
CUDA-enabled physics simulations with GPU arrays
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Distributed Clusters
MPI-based cluster computing for large-scale simulations
Technical Curriculum
Core Modules
- 🔲 Shared memory parallelism with OpenMP
- 🟨 Message Passing Interface (MPI) for distributed memory
- 🟥 GPU offloading with OpenACC/CUDA Fortran
- 🟩 Parallel I/O optimization with NetCDF
Performance Metrics
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✅128-core cluster benchmarking (4000-node systems)
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✅140% speedup on GPU-accelerated matrix solvers
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✅Real-time visualization with OpenGL/Mesa acceleration
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✅Memory-optimized data structures for supercomputing
Parallel Computing Projects
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Quantum Chemistry Solver
Accelerate DFT calculations using GPU-parallelized matrix operations
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Neural Network Training
Parallel weight optimization using GPU accelerated backpropagation
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