TY - JOUR
T1 - TweTriS
T2 - Twenty trillion-atom simulation
AU - Tchipev, Nikola
AU - Seckler, Steffen
AU - Heinen, Matthias
AU - Vrabec, Jadran
AU - Gratl, Fabio
AU - Horsch, Martin
AU - Bernreuther, Martin
AU - Glass, Colin W.
AU - Niethammer, Christoph
AU - Hammer, Nicolay
AU - Krischok, Bernd
AU - Resch, Michael
AU - Kranzlmüller, Dieter
AU - Hasse, Hans
AU - Bungartz, Hans Joachim
AU - Neumann, Philipp
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Significant improvements are presented for the molecular dynamics code ls1 mardyn — a linked cell-based code for simulating a large number of small, rigid molecules with application areas in chemical engineering. The changes consist of a redesign of the SIMD vectorization via wrappers, MPI improvements and a software redesign to allow memory-efficient execution with the production trunk to increase portability and extensibility. Two novel, memory-efficient OpenMP schemes for the linked cell-based force calculation are presented, which are able to retain Newton’s third law optimization. Comparisons to well-optimized Verlet list-based codes, such as LAMMPS and GROMACS, demonstrate the viability of the linked cell-based approach. The present version of ls1 mardyn is used to run simulations on entire supercomputers, maximizing the number of sampled atoms. Compared to the preceding version of ls1 mardyn on the entire set of 9216 nodes of SuperMUC, Phase 1, 27% more atoms are simulated. Weak scaling performance is increased by up to 40% and strong scaling performance by up to more than 220%. On Hazel Hen, strong scaling efficiency of up to 81% and 189 billion molecule updates per second is attained, when scaling from 8 to 7168 nodes. Moreover, a total of 20 trillion atoms is simulated at up to 88% weak scaling efficiency running at up to 1.33 PFLOPS. This represents a fivefold increase in terms of the number of atoms simulated to date.
AB - Significant improvements are presented for the molecular dynamics code ls1 mardyn — a linked cell-based code for simulating a large number of small, rigid molecules with application areas in chemical engineering. The changes consist of a redesign of the SIMD vectorization via wrappers, MPI improvements and a software redesign to allow memory-efficient execution with the production trunk to increase portability and extensibility. Two novel, memory-efficient OpenMP schemes for the linked cell-based force calculation are presented, which are able to retain Newton’s third law optimization. Comparisons to well-optimized Verlet list-based codes, such as LAMMPS and GROMACS, demonstrate the viability of the linked cell-based approach. The present version of ls1 mardyn is used to run simulations on entire supercomputers, maximizing the number of sampled atoms. Compared to the preceding version of ls1 mardyn on the entire set of 9216 nodes of SuperMUC, Phase 1, 27% more atoms are simulated. Weak scaling performance is increased by up to 40% and strong scaling performance by up to more than 220%. On Hazel Hen, strong scaling efficiency of up to 81% and 189 billion molecule updates per second is attained, when scaling from 8 to 7168 nodes. Moreover, a total of 20 trillion atoms is simulated at up to 88% weak scaling efficiency running at up to 1.33 PFLOPS. This represents a fivefold increase in terms of the number of atoms simulated to date.
KW - Hazel Hen
KW - MPI
KW - Molecular dynamics
KW - OpenMP
KW - SIMD vectorization
KW - SuperMUC
KW - coloring
KW - memory-efficient
UR - http://www.scopus.com/inward/record.url?scp=85059888530&partnerID=8YFLogxK
U2 - 10.1177/1094342018819741
DO - 10.1177/1094342018819741
M3 - Article
AN - SCOPUS:85059888530
SN - 1094-3420
VL - 33
SP - 838
EP - 854
JO - International Journal of High Performance Computing Applications
JF - International Journal of High Performance Computing Applications
IS - 5
ER -