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20162023
most citedMachine learning on Crays to optimise petrophysical workflows in oil and gas exploration

22 citations · 121 across the 39 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.DC2021

Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations

Nick Brown

Engineering is an important domain for supercomputing, with the Alya model being a popular code for undertaking such simulations. With ever increasing demand from users to model la…

cs.DC2021

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…

cs.DC2021

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…

cs.PL2021

Application specific dataflow machine construction for programming FPGAs via Lucent

Nick Brown

Field Programmable Gate Arrays (FPGAs) have the potential to accelerate specific HPC codes. However even with the advent of High Level Synthesis (HLS), which enables FPGA programme…

cs.PL2021

Compact Native Code Generation for Dynamic Languages on Micro-core Architectures

Maurice Jamieson, Nick Brown

Micro-core architectures combine many simple, low memory, low power-consuming CPU cores onto a single chip. Potentially providing significant performance and low power consumption,…