File List

Here is a list of all files with brief descriptions:

[detail level 1234]

▼ docs
source
▼ include
► openGPMP
► calculus
analysis.hpp	Numerical Analysis Methods. A blend of Calculus and Linear Algebra
differential.hpp
► core
_cl_err.h
datatable.hpp
datatable_wip.hpp
threads.hpp	OpenGPMP Thread Pool
utils.hpp	Miscellaneous utilities methods related to openGPMP
► disct
comb.hpp
graphs.hpp
► linalg
_cuda_mtx.cuh
_dgemm.hpp
_gpu_mtx.h
_gpu_mtx_wrapper.hpp
_igemm.hpp
_sgemm.hpp
eigen.hpp
linsys.hpp
mtx.hpp
mtx_tmpl.hpp
svd.hpp
tensor.hpp
vector.hpp
► ml
activators.hpp
bayes_clf.hpp
bayes_net.hpp
encoder.hpp	Auto Encoder Neural Network effecient for unlabeled data
kfold.hpp
knn.hpp	K-Nearest Neighbors Clustering
kohonen_net.hpp
linreg.hpp
logreg.hpp	Logistic Regression
mlp_net.hpp
regularizers.hpp
statistics.hpp
svc.hpp
trainers.hpp
► nt
cipher.hpp
euclidean_div.hpp
factorization.hpp
gcds.hpp
logarithms.hpp
prime_gen.hpp
prime_test.hpp
random.hpp	Pseudorandom Number Generators
rc4.hpp
rc5.hpp
rc6.hpp
redpike.hpp
squares.hpp
► optim
function.hpp
quasi.hpp
► stats
cdfs.hpp
describe.hpp
hypothesis.hpp
pdfs.hpp
probdist.hpp
quantiles.hpp
resampling.hpp
arithmetic.hpp	User API for openGPMP ARITHMETIC MODULE
calculus.hpp	User API for OpenGPMP CALCULUS MODULE
core.hpp
disct.hpp
gpmp.hpp	Central user facing API for OpenGPMP
linalg.hpp	User API for OpenGPMP LINEAR ALGEBRA MODULE
ml.hpp	User API for OpenGPMP MACHINE/DEEP LEARNING MODULE
nt.hpp	User API for OpenGPMP NUMBER THEORY MODULE
optim.hpp	User API for OpenGPMP OPTIMIZATION MODULE
stats.hpp	User API for OpenGPMP STATISTICS MODULE
▼ modules
► arithmetic
arith.cpp
► calculus
analysis.cpp
differential.cpp
► complex
Mandelbrot.c
Mandelbrot.cpp
openGL_astronomy_animated.c
openGL_bounce.c
openGL_example00.c
openGL_torus.c
openGL_torus_animated.c
openGL_tri.c
torus.c
torus_animated.c
► core
datatable.cpp
datatable1.cpp
datatable2.cpp
utils.cpp
► disct
comb.cpp
graphs.cpp
ospf.cpp
► linalg
► arm
mtx_arm_vec_f32.cpp
mtx_arm_vec_i32.cpp
vector_arm_f64.cpp
vector_arm_i32.cpp
► avx
mtx_avx2_arr_f32.cpp
mtx_avx2_arr_f64.cpp
mtx_avx2_arr_i16.cpp
mtx_avx2_arr_i32.cpp
mtx_avx2_arr_i8.cpp
mtx_avx2_vec_f32.cpp
mtx_avx2_vec_f64.cpp
mtx_avx2_vec_i32.cpp
vector_avx2_f64.cpp
vector_avx2_i16.cpp
vector_avx2_i32.cpp
vector_avx2_i8.cpp
► gpu
_gpu_kernel_mtx_add.c
_gpu_kernel_mtx_mul.c
_gpu_mtx.cpp	OpenCL-based GPU acceleration
_gpu_mtx.cu
_gpu_mtx_add.c
_gpu_mtx_add.cu
_gpu_mtx_add_wrapper.cpp
_gpu_mtx_kernel.c
_gpu_mtx_wrp.cpp
_simd_intel_mtx.cpp
lao.cpp
mtx_x86.c
► sse
mtx_sse2_arr_f32.cpp
mtx_sse2_arr_f64.cpp
mtx_sse2_arr_i16.cpp
mtx_sse2_arr_i32.cpp
mtx_sse2_arr_i8.cpp
mtx_sse2_vec_f32.cpp
mtx_sse2_vec_f64.cpp
mtx_sse2_vec_i32.cpp
dgemm_arr.cpp
dgemm_kernel.cpp
eigen.cpp
igemm_arr.cpp
linsys.cpp
linsys_routines.f90
mtx.cpp
mtx_arr_f90.cpp
mtx_naive.cpp
mtx_routines.f90
sgemm_arr.cpp
svd.cpp
tensor.cpp
vector_naive.cpp
vector_routines.f90
► ml
activators.cpp
bayes_clf.cpp
bayes_net.cpp
encoder.cpp
kfold.cpp
knn.cpp
kohonen_net.cpp
linreg.cpp
logreg.cpp
mlp_network.cpp
regularizers.cpp
svc.cpp
trainers.cpp
► nt
cipher.cpp
factorization.cpp
logarithms.cpp
prime_gen.cpp
prime_test.cpp
random.cpp
rc4.cpp
rc5.cpp
rc6.cpp
redpike.cpp
► optim
function.cpp
quasi.cpp
► stats
cdfs.cpp
describe.cpp
hypothesis.cpp
pdfs.cpp
probdist.cpp
quantiles.cpp
resampling.cpp
▼ pygpmp
► arithmetic
__init__.py
arithmetic.py
► calculus
__init__.py
calculus.py
► core
__init__.py
core.py
► linalg
► boost
modulelinalg.cpp
test_linalg.py
__init__.py
linalg.py
► ml
__init__.py
ml.py
► nt
__init__.py
nt.py
__init__.py
▼ samples
► cpp
arithmetic.cpp
bayes.cpp
cdfs_ex.cpp
cipher.cpp
combinatorics.cpp
deriv.cpp
eigen.cpp
encoders.cpp
factors.cpp
graphs_ex.cpp
hypo.cpp
linreg.cpp
logarithms.cpp
mlp.cpp
mtx.cpp
mtx2.cpp
pdfs_ex.cpp
primes.cpp
primes2.cpp
random.cpp
rc4.cpp
rc5.cpp
regression.cpp
tables.cpp
► python
__init__.py
arithmetic.py
cipher_ex.py
linalg.py
nt_ex.py
rc4_ex.py