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1.3 KiB
1.3 KiB
Test method
> for each update cycle do:
(# of updates changes -> update indices & size of update-matrix changes)
1. read data from dataset
2. check error on the input data and record result: ERR_INPUT
3. set cycle- and split accumulator to zero
## >> for a set number of repetitions do:
1. take a fresh copy (memcpy) of the slater inverse and use it in chosen kernel
### >>> for the chosen kernel do:
1. fetch start cycles
2. execute kernel and remember exit status: ERR_BREAK
(number of splits is recorded in global variable)
3. fetch finish cycles
4. add cycle difference to time acummulator
> continue: for each update cycle do
4. copy the updated slater-inverse-copy back to original
5a. divide cycle- and split-accumulator by number of repetitions
5b. divide cycle-accumulator by number of updates
6. add the averaged time/update-cycle of accumulater to cummulative-
result for the entire dataset
7. update the slater matrix
8. check the error on the updated data and record the result: ERR_OUT
9. write results to stdout: cycle#, #upds, err_inp, err_break,
#splits, err_out, #clck_tcks, #clck_tcks/upd, cumulative cycles