22 citations · 121 across the 39 of their papers we have counts for
8 papers · 1 filter
Exploring the Versal AI engines for accelerating stencil-based atmospheric advection simulation
Nick Brown
AMD Xilinx's new Versal Adaptive Compute Acceleration Platform (ACAP) is an FPGA architecture combining reconfigurable fabric with other on-chip hardened compute resources. AI engi…
Web-based volunteer distributed computing for handling time-critical urgent workloads
Nick Brown, Simon Newby
Urgent computing workloads are time critical, unpredictable, and highly dynamic. Whilst efforts are on-going to run these on traditional HPC machines, another option is to leverage…
TensorFlow as a DSL for stencil-based computation on the Cerebras Wafer Scale Engine
Nick Brown, Brandon Echols, Justs Zarins +1
The Cerebras Wafer Scale Engine (WSE) is an accelerator that combines hundreds of thousands of AI-cores onto a single chip. Whilst this technology has been designed for machine lea…
Performance of the Vipera framework for DSLs on micro-core architectures
Maurice Jamieson, Nick Brown
Vipera provides a compiler and runtime framework for implementing dynamic Domain-Specific Languages on micro-core architectures. The performance and code size of the generated code…
Programming abstractions for preemptive scheduling in FPGAs using partial reconfiguration
Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres +1
FPGAs are an attractive type of accelerator for all-purpose HPC computing systems due to the possibility of deploying tailored hardware on demand. However, the common tools for pro…
Workflows to driving high-performance interactive supercomputing for urgent decision making
Nick Brown, Rupert Nash, Gordon Gibb +6
Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers f…