Analysing astronomy algorithms for graphics processing units and beyond: Analysing algorithms for GPUs and beyond

[1]  Robert G. Belleman,et al.  High Performance Direct Gravitational N-body Simulations on Graphics Processing Units , 2007, ArXiv.

[2]  Tomonari Masada,et al.  A novel multiple-walk parallel algorithm for the Barnes–Hut treecode on GPUs – towards cost effective, high performance N-body simulation , 2009, Computer Science - Research and Development.

[3]  Joachim Wambsganss,et al.  Gravitational lensing: numerical simulations with a hierarchical tree code , 1999 .

[4]  Randall B. Wayth,et al.  A GPU-based Real-time Software Correlation System for the Murchison Widefield Array Prototype , 2009, 0906.1887.

[5]  James Demmel,et al.  the Parallel Computing Landscape , 2022 .

[6]  J. Primack,et al.  Accelerating dust temperature calculations with graphics-processing units , 2009, 0907.3768.

[7]  Kevin Skadron,et al.  A performance study of general-purpose applications on graphics processors using CUDA , 2008, J. Parallel Distributed Comput..

[8]  B. R. Barsdell,et al.  Computational advances in gravitational microlensing: A comparison of CPU, GPU, and parallel, large data codes , 2010, 1005.5198.

[9]  Tzihong Chiueh,et al.  GAMER: A GRAPHIC PROCESSING UNIT ACCELERATED ADAPTIVE-MESH-REFINEMENT CODE FOR ASTROPHYSICS , 2009, 0907.3390.

[10]  Guy E. Blelloch,et al.  Programming parallel algorithms , 1996, CACM.

[11]  Marc Levoy,et al.  Efficient ray tracing of volume data , 1990, TOGS.

[12]  J. Makino,et al.  Sixth- and eighth-order Hermite integrator for N-body simulations , 2007, 0708.0738.

[13]  Christopher J. Fluke,et al.  Teraflop per second gravitational lensing ray-shooting using graphics processing units , 2009, 0905.2453.