Presentation
Scalable Hydrodynamics on multiple Field-Programmable Gate Arrays (FPGAs)
DescriptionHydroDynamics (HD) and MagnetoHydroDynamics (MHD) simulations play a central role in modeling physical processes in fields as diverse as astrophysics, nuclear fusion, and plasma physics. These simulations often involve the resolution of hyperbolic systems of partial differential equations using finite-volume methods, yielding stencil-like computation patterns over structured grids.
While CPUs and GPUs have long dominated HPC workloads, their efficiency is increasingly challenged by the need for better control over memory access patterns and energy consumption. In contrast, Field-Programmable Gate Arrays (FPGAs) offer reconfigurable hardware with customizable memory hierarchies and dataflow pipelines, making them especially appealing for streaming and memory-bound applications. Their potential to reduce the energy footprint of scientific simulations has attracted growing attention, especially in the context of exascale computing, where power constraints are becoming a limiting factor.
While CPUs and GPUs have long dominated HPC workloads, their efficiency is increasingly challenged by the need for better control over memory access patterns and energy consumption. In contrast, Field-Programmable Gate Arrays (FPGAs) offer reconfigurable hardware with customizable memory hierarchies and dataflow pipelines, making them especially appealing for streaming and memory-bound applications. Their potential to reduce the energy footprint of scientific simulations has attracted growing attention, especially in the context of exascale computing, where power constraints are becoming a limiting factor.
Event Type
Workshop
TimeSunday, 16 November 20255:00pm - 5:20pm CST
Location231