2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.DC2026
Lifting to tensors when compiling scientific computing workloads for AI Engines
Nick Brown, Gabriel Rodriguez-Canal
It has been demonstrated that specialised architectures, such as FPGAs and AMD's AI Engines (AIEs), have the potential to deliver energy and performance advantages for scientific c…
cs.DC2025★ 2 cited
An MLIR pipeline for offloading Fortran to FPGAs via OpenMP
Gabriel Rodriguez-Canal, David Katz, Nick Brown
With the slowing of Moore's Law, heterogeneous computing platforms such as Field Programmable Gate Arrays (FPGAs) have gained increasing interest for accelerating HPC workloads. In…
cs.DC2025★ 2 cited
Seamless acceleration of Fortran intrinsics via AMD AI engines
Nick Brown, Gabriel Rodríguez Canal
A major challenge that the HPC community faces is how to continue delivering the performance demanded by scientific programmers, whilst meeting an increased emphasis on sustainable…