Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS)

Flow direction encoding in GeoTIFF:

Binaries for Windows

MEFA (Memory-Efficient Flow Accumulation)
MESHED (Memory-Efficient Watershed Delineation)
MELFP (Memory-Efficient Longest Flow Path)
MEFLEN (Memory-Efficient Flow Length)

Testing

git clone https://github.com/HuidaeCho/midas.git
cd midas\windows\test
pretest.bat
test.bat

Benchmark results

MEFA

System specifications

CPU: Intel Core i9-12900 @ 2.40GHz
Cores: 16
Logical processors: 24
Memory: 64 GiB
OS: Windows 11

Citation

Huidae Cho, July 2023. Memory-Efficient Flow Accumulation Using a Look-Aroun d Approach and Its OpenMP Parallelization. Environmental Modelling & Software 167, 105771. doi:10.1016/j.envsoft.2023.105771.

MESHED

MELFP

MEFLEN

System specifications

CPU: Intel Core i9-12900 @ 2.40GHz
Cores: 16
Logical processors: 24
Memory: 64 GiB
OS: Windows 11
- Downstream flow length (compute time only)
  - Texas results
    - 8.2 s (24 threads)
    - 19.6 s (1 thread)
  - CONUS results
    - 4.7 m (24 threads)
    - 7.3 m (1 thread)
OS: Linux 6.6.30
- Downstream flow length (compute time only)
  - Texas results
    - 9.4 s (24 threads)
    - 20.0 s (1 thread)
  - CONUS results
    - 2.0 m (24 threads)
    - 4.0 m (1 thread)