GitHub - MLecardonnel/atom: Optimization pf Gurthang code to get rid of atomic operations. Next step: get current sum out of AccumulateCurrentWithParticlesInCell into separate kernel and parallelize it.

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Optimization pf Gurthang code to get rid of atomic operations. Next step: get current sum out of AccumulateCurrentWithParticlesInCell into separate kernel and parallelize it.

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Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Tools/Application		Tools/Application
1.cu		1.cu
1.cxx		1.cxx
Makefile		Makefile
add.cu		add.cu
archAPI.cu		archAPI.cu
archAPI.cxx		archAPI.cxx
archAPI.h		archAPI.h
cell.h		cell.h
cell_base.h		cell_base.h
cell_double.h		cell_double.h
compare.cxx		compare.cxx
compare.h		compare.h
control.h		control.h
control_points.dat		control_points.dat
diagnose.h		diagnose.h
f2c.h		f2c.h
gpu_field.cu		gpu_field.cu
gpu_particle.h		gpu_particle.h
gpu_plasma.cu		gpu_plasma.cu
gpu_plasma.h		gpu_plasma.h
gpucell.cu		gpucell.cu
gpucell.h		gpucell.h
init.cu		init.cu
init.h		init.h
kernels.cu		kernels.cu
kernels.h		kernels.h
load_data.cu		load_data.cu
load_data.cxx		load_data.cxx
load_data.h		load_data.h
main.cu		main.cu
main.cxx		main.cxx
maxwell.cu		maxwell.cu
maxwell.cxx		maxwell.cxx
maxwell.h		maxwell.h
memory_control.h		memory_control.h
move.cu		move.cu
mpi_err.c		mpi_err.c
mpi_shortcut.c		mpi_shortcut.c
mpi_shortcut.cxx		mpi_shortcut.cxx
mpi_shortcut.h		mpi_shortcut.h
params.h		params.h
particle.h		particle.h
particle_target.h		particle_target.h
particle_types.h		particle_types.h
plasma.cu		plasma.cu
plasma.h		plasma.h
point.h		point.h
read_particle.cxx		read_particle.cxx
read_particles.h		read_particles.h
rnd.cpp		rnd.cpp
rnd.h		rnd.h
run_control.h		run_control.h
service_functions.cu		service_functions.cu
service_functions.cxx		service_functions.cxx
service_functions.h		service_functions.h
tensor.h		tensor.h
types.h		types.h
wrap_kernel.cu		wrap_kernel.cu

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Optimization pf Gurthang code to get rid of atomic operations. Next step: get current sum out of AccumulateCurrentWithParticlesInCell into separate kernel and parallelize it.

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