non-colocational-mps

Multiple point statistical algorithm that takes into account non-colocational uncertain (soft) data.

Uses some functions from mGstat (included) https://github.com/cultpenguin/mGstat

Written in MATLAB except for two CUDA C kernels that can be compiled for your specific hardware.

Compiling cuda kernels

nvcc -arch=compute_61 -use_fast_math -ptx .\impalaFindSmem.cu

nvcc -arch=compute_61 -use_fast_math -ptx .\multiplyArray.cu

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
SD_boreholes_Kasted.mat		SD_boreholes_Kasted.mat
channels.m		channels.m
channels.mat		channels.mat
debbie_shrunk.mat		debbie_shrunk.mat
entropy_k.m		entropy_k.m
estimator_core_gpu_soft.m		estimator_core_gpu_soft.m
generateColormap.m		generateColormap.m
id2n.m		id2n.m
impalaFindSmem.cu		impalaFindSmem.cu
impalaFindSmem.ptx		impalaFindSmem.ptx
impala_core_gpu_soft.m		impala_core_gpu_soft.m
mps_template.m		mps_template.m
multiplyArray.cu		multiplyArray.cu
multiplyArray.ptx		multiplyArray.ptx
populate_impala_list.m		populate_impala_list.m
pref_path.m		pref_path.m
print_impala_list.m		print_impala_list.m
rand_path.m		rand_path.m
raster_path.m		raster_path.m
soft_data_5by5_example.m		soft_data_5by5_example.m
soft_data_kasted.m		soft_data_kasted.m
soft_data_rejection_sampler.m		soft_data_rejection_sampler.m
tinyTI.m		tinyTI.m
tinyTI_estimation_example.m		tinyTI_estimation_example.m