Use TeamVectorRange for filling tiles in BruteForce implementation

[masterleinad]

This fixes current problems in the Kokkos SYCL backend (see #614) but the restriction to do everything on the first team member always felt weird to me.
Alternatively, we can special case for SYCL of course.

[aprokop]

I'd like to see some performance data for this patch.

[aprokop]

Some data from my workstation (GTX1070):

$ for i in master_6794807d branch_45b6801c; do ./ArborX_BruteForce_$i --predicates 100 --primitives 100| grep 'Time BF'; done
Time BF: 0.000546
Time BF: 0.000478
$ for i in master_6794807d branch_45b6801c; do ./ArborX_BruteForce_$i --predicates 500 --primitives 500| grep 'Time BF'; done
Time BF: 0.001253
Time BF: 0.000986
$ for i in master_6794807d branch_45b6801c; do ./ArborX_BruteForce_$i --predicates 10000 --primitives 10000| grep 'Time BF'; done
Time BF: 0.030061
Time BF: 0.024904
$ for i in master_6794807d branch_45b6801c; do ./ArborX_BruteForce_$i --predicates 50000 --primitives 50000| grep 'Time BF'; done
Time BF: 0.598086
Time BF: 0.514194

[masterleinad]

I similarly see

$ for i in master branch; do jsrun -n 1 -a 1 -c 42 -g 1 -r 1 -l CPU-CPU -d packed -b packed:42 ./ArborX_BruteForce_$i.exe --predicates 100 --primitives 100| grep 'Time BF'; done
Time BF: 0.000863
Time BF: 0.000815
$ for i in master branch; do jsrun -n 1 -a 1 -c 42 -g 1 -r 1 -l CPU-CPU -d packed -b packed:42 ./ArborX_BruteForce_$i.exe --predicates 500 --primitives 500| grep 'Time BF'; done
Time BF: 0.002101
Time BF: 0.001862
$ for i in master branch; do jsrun -n 1 -a 1 -c 42 -g 1 -r 1 -l CPU-CPU -d packed -b packed:42 ./ArborX_BruteForce_$i.exe --predicates 10000 --primitives 10000| grep 'Time BF'; done
Time BF: 0.013687
Time BF: 0.013295
$ for i in master branch; do jsrun -n 1 -a 1 -c 42 -g 1 -r 1 -l CPU-CPU -d packed -b packed:42 ./ArborX_BruteForce_$i.exe --predicates 50000 --primitives 50000| grep 'Time BF'; done
Time BF: 0.335548
Time BF: 0.319999

on Ascent.

[dalg24]

Are these GPU-only results?

[masterleinad]

Yes, it's the default execution space, so CUDA.

[aprokop]

Are these GPU-only results?

My workstation (Intel E5-2620):

$ for k in 100 500 1000 5000 10000; do \
     for i in master_host_6794807d branch_host_45b6801c; do \
        ./ArborX_BruteForce_$i --predicates $k --primitives $k | grep 'Time BF'; \
     done; \
  done
Time BF: 0.000262
Time BF: 0.000251
Time BF: 0.005522
Time BF: 0.005494
Time BF: 0.022902
Time BF: 0.021482
Time BF: 0.603481
Time BF: 0.571992
Time BF: 2.438251
Time BF: 2.291969

So it is at least as fast on host.

[dalg24]

Considering reports that it is not slower both on the CPU and on the GPU