AHA-GRAPE: Adaptive Hydrodynamic Architecture - GRAvity PipE

TL;DR

The paper introduces AHA-GRAPE, a hybrid architecture combining FPGA and GRAPE accelerators to significantly enhance the performance of astrophysical hydrodynamics simulations, achieving a tenfold speedup over traditional GRAPE systems.

Contribution

It presents a novel hybrid architecture with reconfigurable FPGA integration to improve the flexibility and scalability of GRAPE-based astrophysical simulations.

Findings

Achieves 1.5 Gflops per FPGA board.

Expected tenfold performance increase over pure GRAPE systems.

Prototype system scheduled for mid-2000 release.

Abstract

In astrophysics numerical star cluster simulations and hydrodynamical methods like SPH require computational performance in the petaflop range. The GRAPE family of ASIC-based accelerators improves the cost-performance ratio compared to general purpose parallel computers, however with limited flexibility. The AHA-GRAPE architecture adds a reconfigurable FPGA-processor to accelerate the SPH computation. The basic equations of the algorithm consist of three parts each scaling with the order of O(N), O(N*Nn), and O(N**2) respectively, where N is in the range of 10**4 to 10**7 and Nn approximately 50. These equations can profitably be distributed across a host workstation, an FPGA processor, and a GRAPE subsystem. With the new ATLANTIS FPGA processor we expect a scalable SPH performance of 1.5 Gflops per board. The first prototype AHA-GRAPE system will be available in mid-2000. This 3-layered system will deliver an increase in performance by a factor of 10 as compared to a pure GRAPE solution.