#include <armadillo>
#include <h5cpp/all>
* to demonstrate how to factor out arguments for in-loop or lean + mean in-sub-routine data operations
* using c+17 most operations are compiler time, and eliminated if not used. Arguments are stored on
* stack and have minimal size often none.
* By not specifying optional arguments you give the compiler to eliminate entire branches compile time
* resulting in highly optimized final binary: the way an expert wrote the code using HDF5 CAPI.
int main(){
// have a file descriptor read
h5::fd_t fd = h5::create("optimized.h5",H5F_ACC_TRUNC);
// create or use existing linalg objects, the memory is reserved on heap and
// usually is a big chunk
arma::mat M(10,1); M.zeros();
// create or open the dataset withing HDF5 container, with the right properties set
h5::ds_t ds = h5::create<short>(fd,"huge dataset"
,h5::current_dims{10,100} // the actual size of the dataspace created inside HDF5
,h5::max_dims{10,H5S_UNLIMITED} // if it can grow: use `append` or H5CAPI calls
,h5::chunk{10,10} // compression and partial IO requires chunk-ing, which is
// reading data by small blocks at a time with internal caching mechanism
// for handling edges and frequent read | write to same region
| h5::gzip{9} // compression comes at cost
| h5::fill_value<short>{0} );
// SUGGESTED: Notice that `count` is not specified, but created on
// that stack along `offset`. These operations have minimal impact if any.
for( hsize_t i=0; i < 1; i ++){
h5::read( ds, M, h5::offset{0,0} );
M[0,0] = i; // your science thing, using 80% of in-core available memory
// this is where you swap out
h5::write( ds, M, h5::offset{0,i} );
* h5::offset, h5::count, ... are space optimized (H5CPP_MAX_RANK + 1) * sizeof(hsize_t) small objects
* placed on the local stack (not on the heap) suitable for pass by value, or reference. In the following
* section offset and count are factored out from the high performance loop to demonstrate how it can
* be done, but in most cases this is an **overkill** and not the suggested way.
* Use profiler to identify hot spots. See `profile` directory for examples.
* */
h5::offset offset{0,0}; // must have the proper rank: this is rank 2
h5::count count{10,1}; // describe the memory region of `M` matrix
// ready for optimized loop:
for( hsize_t i=0; i < 1; i ++){
offset[1] = i; // set new coordinates
M[1,0] = i; // do your science thing
h5::write( ds, M, offset, count );