Hierarchical N-body simulations with auto-tuning for heterogeneous systems

Abstract

With the current hybridization of treecodes and FMMs, combined with auto-tuning capabilities on heterogeneous architectures, the flexibility of fast N-body methods has been greatly enhanced. These features are a requirement to developing a black-box software library for fast N-body algorithms on heterogeneous systems, which is our immediate goal.

References in corpus (2)

• High Performance Direct Gravitational N-body Simulations on Graphics Processing Units -- II: An implementation in CUDA
• Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

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• A Very Fast And Angular Momentum Conserving Tree Code
• A parallel directional Fast Multipole Method
• A pilgrimage to gravity on GPUs
• Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems
• An FMM Based on Dual Tree Traversal for Many-core Architectures
• SMASH: Sparse Matrix Atomic Scratchpad Hashing
• Conservation of Angular Momentum in the Fast Multipole Method