22 citations · 78 across the 20 of their papers we have counts for
18 papers · 1 filter
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…
Predicting batch queue job wait times for informed scheduling of urgent HPC workloads
Nick Brown, Gordon Gibb, Evgenij Belikov +1
There is increasing interest in the use of HPC machines for urgent workloads to help tackle disasters as they unfold. Whilst batch queue systems are not ideal in supporting such wo…
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques
Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown
Quantitative finance is the use of mathematical models to analyse financial markets and securities. Typically requiring significant amounts of computation, an important question is…
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
Nick Brown
Reconfigurable architectures, such as FPGAs, enable the execution of code at the electronics level, avoiding the assumptions imposed by the general purpose black-box micro-architec…
Benchmarking micro-core architectures for detecting disasters at the edge
Maurice Jamieson, Nick Brown
Leveraging real-time data to detect disasters such as wildfires, extreme weather, earthquakes, tsunamis, human health emergencies, or global diseases is an important opportunity. H…
ePython: An implementation of Python for the many-core Epiphany coprocessor
Nick Brown
The Epiphany is a many-core, low power, low on-chip memory architecture and one can very cheaply gain access to a number of parallel cores which is beneficial for HPC education and…