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[ascl:1209.008]
Phantom-GRAPE: SIMD accelerated numerical library for N-body simulations

Phantom-GRAPE is a numerical software library to accelerate collisionless $N$-body simulation with SIMD instruction set on x86 architecture. The Newton's forces and also central forces with an arbitrary shape f(r), which have a finite cutoff radius r_cut (i.e. f(r)=0 at r>r_cut), can be quickly computed.

[ascl:1604.011]
FDPS: Framework for Developing Particle Simulators

Iwasawa, Masaki; Tanikawa, Ataru; Hosono, Natsuki; Nitadori, Keigo; Muranushi, Takayuki; Makino, Junichiro

FDPS provides the necessary functions for efficient parallel execution of particle-based simulations as templates independent of the data structure of particles and the functional form of the interaction. It is used to develop particle-based simulation programs for large-scale distributed-memory parallel supercomputers. FDPS includes templates for domain decomposition, redistribution of particles, and gathering of particle information for interaction calculation. It uses algorithms such as Barnes-Hut tree method for long-range interactions; methods to limit the calculation to neighbor particles are used for short-range interactions. FDPS reduces the time and effort necessary to write a simple, sequential and unoptimized program of O(N^2) calculation cost, and produces compiled programs that will run efficiently on large-scale parallel supercomputers.

[submitted]
A slow-down time-transformed symplectic integrator for solving the few-body problem

SDAR is an accurate and efficient code to simulate the long-term evolution of few-body systems (binaries, triples ...). The algorithm used in the code can provide a few order of magnitude faster performance than the classical N-body method. The secular evolution of hierarchical systems, e.g. Kozai-Lidov oscillation, can be well reproduced. The code is written in the c++ language. It can be used either as a stand alone tool or a library to be plugged in other N-body codes. The high precision of the floating point to 62 digits is also supported. Online Doxygen documentation is available on the GitHub pages. (see Arxiv paper: https://arxiv.org/abs/2002.07938)