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As an entry for the 1999 Gordon Bell price/performance prize, we report an astrophysical N-body simulation performed with a treecode on GRAPE-5 (Gravity Pipe 5) system, a special-purpose computer for astrophysical N-body simulations. The…

天体物理学 · 物理学 2007-05-23 Atsushi Kawai , Toshiyuki Fukushige , Junichiro Makino

We have developed a special-purpose computer for gravitational many-body simulations, GRAPE-5. GRAPE-5 is the successor of GRAPE-3. Both consist of eight custom pipeline chips (G5 chip and GRAPE chip). The difference between GRAPE-5 and…

天体物理学 · 物理学 2015-06-24 Atsushi Kawai , Toshiyuki Fukushige , Junichiro Makino , Makoto Taiji

We present numerical simulations of galaxy formation, one of the most challenging problems in computational astrophysics. The key point in such simulations is the efficient solution of the N--body problem. If the gas of a galaxy is treated…

天体物理学 · 物理学 2007-05-23 Matthias Steinmetz

In this paper, we describe the architecture and performance of the GRAPE-6 system, a massively-parallel special-purpose computer for astrophysical $N$-body simulations. GRAPE-6 is the successor of GRAPE-4, which was completed in 1995 and…

天体物理学 · 物理学 2015-06-24 Junichiro Makino , Toshiyuki Fukushige , Masaki Koga , Ken Namura

We present performance measurements of direct gravitational N -body simulation on the grid, with and without specialized (GRAPE-6) hardware. Our inter-continental virtual organization consists of three sites, one in Tokyo, one in…

天体物理学 · 物理学 2008-11-26 Derek Groen , Simon Portegies Zwart , Steve McMillan , Jun Makino

Direct-summation N-body algorithms compute the gravitational interaction between stars in an exact way and have a computational complexity of O(N^2). Performance can be greatly enhanced via the use of special-purpose accelerator boards like…

Recently, special-purpose computers have surpassed general-purpose computers in the speed with which large-scale stellar dynamics simulations can be performed. Speeds up to a Teraflops are now available, for simulations in a variety of…

天体物理学 · 物理学 2007-05-23 Piet Hut

Commercial graphics processors (GPUs) have high compute capacity at very low cost, which makes them attractive for general purpose scientific computing. In this paper we show how graphics processors can be used for N-body simulations to…

计算工程、金融与科学 · 计算机科学 2007-06-22 Erich Elsen , V. Vishal , Mike Houston , Vijay Pande , Pat Hanrahan , Eric Darve

We present the results of gravitational direct $N$-body simulations using the commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce 8800GTX, and compare the results with GRAPE-6Af special purpose hardware. The force…

天体物理学 · 物理学 2008-11-26 Simon Portegies Zwart , Robert Belleman , Peter Geldof

We present Sapporo, a library for performing high-precision gravitational N-body simulations on NVIDIA Graphical Processing Units (GPUs). Our library mimics the GRAPE-6 library, and N-body codes currently running on GRAPE-6 can switch to…

天体物理仪器与方法 · 物理学 2015-05-13 Evghenii Gaburov , Stefan Harfst , Simon Portegies Zwart

We present the results of gravitational direct $N$-body simulations using the commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce 8800GTX, and compare the results with GRAPE-6Af special purpose hardware. The force…

性能 · 计算机科学 2015-06-25 Simon Portegies Zwart , Robert Belleman , Peter Geldof

In this paper we describe the current status of the GRAPE-6 project to develop a special-purpose computer with a peak speed exceeding 100 Tflops for the simulation of astrophysical N-body problems. One of the main targets of the GRAPE-6…

天体物理学 · 物理学 2007-05-23 Junichiro Makino

A combined N--body/SPH code is presented which benefits from the high speed of the special purpose hardware GRAPE (GRAvity PipE). Besides gravitational forces, GRAPE also returns the list of neighbours and can, therefore, be used to speed…

天体物理学 · 物理学 2015-06-24 Matthias Steinmetz

We present an algorithm named "Chamomile Scheme". The scheme is fully optimized for calculating gravitational interactions on the latest programmable Graphics Processing Unit (GPU), NVIDIA GeForce8800GTX, which has (a) small but fast shared…

天体物理学 · 物理学 2007-05-23 Tsuyoshi Hamada , Toshiaki Iitaka

Simulations of dusty plasmas were performed using GRAPE-6, a special-purpose computer designed for gravitational N-body problems. The collective behaviour of dust particles, which are injected into the plasma, was studied by means of…

等离子体物理 · 物理学 2007-05-23 Keisuke Yamamoto , Yasunori Mizuno , Hiroshi Inuzuka , Yonggao Cao , Yan Liu , Kenichi Yazawa

In this paper, we describe the performance of an $N$-body simulation of star cluster with 64k stars on a Cray XD1 system with 400 dual-core Opteron processors. A number of astrophysical $N$-body simulations were reported in SCxy…

天体物理学 · 物理学 2007-05-23 Keigo Nitadori , Junichiro Makino , George Abe

As an entry for the 2012 Gordon-Bell performance prize, we report performance results of astrophysical N-body simulations of one trillion particles performed on the full system of K computer. This is the first gravitational trillion-body…

宇宙学与河外天体物理 · 物理学 2015-04-14 Tomoaki Ishiyama , Keigo Nitadori , Junichiro Makino

We describe the use of Graphics Processing Units (GPUs) for speeding up the code NBODY6 which is widely used for direct $N$-body simulations. Over the years, the $N^2$ nature of the direct force calculation has proved a barrier for…

天体物理仪器与方法 · 物理学 2015-06-05 Keigo Nitadori , Sverre J. Aarseth

We present the results of gravitational direct $N$-body simulations using the Graphics Processing Unit (GPU) on a commercial NVIDIA GeForce 8800GTX designed for gaming computers. The force evaluation of the $N$-body problem is implemented…

天体物理学 · 物理学 2008-11-26 Robert G. Belleman , Jeroen Bedorf , Simon Portegies Zwart

We have developed PROGRAPE-1 (PROgrammable GRAPE-1), a programmable multi-purpose computer for many-body simulations. The main difference between PROGRAPE-1 and "traditional" GRAPE systems is that the former uses FPGA (Field Programmable…

天体物理学 · 物理学 2015-06-24 Tsuyoshi Hamada , Toshiyuki Fukushige , Atsushi Kawai , Junichiro Makino
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