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09/01/2023
Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU
The Sophon SG2042 is the world's first commodity 64-core RISC-V CPU for ...
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08/25/2023
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs
In recent years the use of FPGAs to accelerate scientific applications h...
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04/30/2023
Experiences of running an HPC RISC-V testbed
Funded by the UK ExCALIBUR H&ES exascale programme, in early 2022 a RISC...
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04/20/2023
Backporting RISC-V Vector assembly
Leveraging vectorisation, the ability for a CPU to apply operations to m...
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04/20/2023
Test-driving RISC-V Vector hardware for HPC
Whilst the RISC-V Vector extension (RVV) has been ratified, at the time ...
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04/19/2023
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures
Sparse matrices and linear algebra are at the heart of scientific simula...
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01/18/2023
Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration
FPGAs are an attractive type of accelerator for all-purpose HPC computin...
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12/28/2022
Web-based volunteer distributed computing for handling time-critical urgent workloads
Urgent computing workloads are time critical, unpredictable, and highly ...
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12/28/2022
Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs
Whilst FPGAs have enjoyed success in accelerating high-frequency financi...
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12/28/2022
Exploring the Versal AI engines for accelerating stencil-based atmospheric advection simulation
AMD Xilinx's new Versal Adaptive Compute Acceleration Platform (ACAP) is...
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09/02/2022
Performance of the Vipera framework for DSLs on micro-core architectures
Vipera provides a compiler and runtime framework for implementing dynami...
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08/26/2022
TensorFlow as a DSL for stencil-based computation on the Cerebras Wafer Scale Engine
The Cerebras Wafer Scale Engine (WSE) is an accelerator that combines hu...
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08/26/2022
Programming abstractions for preemptive scheduling in FPGAs using partial reconfiguration
FPGAs are an attractive type of accelerator for all-purpose HPC computin...
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06/28/2022
Workflows to driving high-performance interactive supercomputing for urgent decision making
Interactive urgent computing is a small but growing user of supercomputi...
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06/08/2022
Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs
Quantitative finance is the use of mathematical models to analyse financ...
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04/28/2022
Predicting batch queue job wait times for informed scheduling of urgent HPC workloads
There is increasing interest in the use of HPC machines for urgent workl...
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11/10/2021
Utilising urgent computing to tackle the spread of mosquito-borne diseases
It is estimated that around 80% of the world's population live in areas ...
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11/10/2021
Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations
Engineering is an important domain for supercomputing, with the Alya mod...
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07/28/2021
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
Reconfigurable architectures, such as FPGAs, enable the execution of cod...
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07/28/2021
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques
Quantitative finance is the use of mathematical models to analyse financ...
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04/10/2021
Application specific dataflow machine construction for programming FPGAs via Lucent
Field Programmable Gate Arrays (FPGAs) have the potential to accelerate ...
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02/03/2021
Compact Native Code Generation for Dynamic Languages on Micro-core Architectures
Micro-core architectures combine many simple, low memory, low power-cons...
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11/10/2020
Benchmarking micro-core architectures for detecting disasters at the edge
Leveraging real-time data to detect disasters such as wildfires, extreme...
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11/10/2020
Exploring the acceleration of Nekbone on reconfigurable architectures
Hardware technological advances are struggling to match scientific ambit...
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10/28/2020
ePython: An implementation of Python for the many-core Epiphany coprocessor
The Epiphany is a many-core, low power, low on-chip memory architecture ...
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10/28/2020
Porting the microphysics model CASIM to GPU and KNL Cray machines
CASIM is a microphysics scheme which calculates the interaction between ...
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10/27/2020
Extended abstract: Type oriented programming for task based parallelism
Writing parallel codes is difficult and exhibits a fundamental trade-off...
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10/27/2020
A comparison of techniques for solving the Poisson equation in CFD
CFD is a ubiquitous technique central to much of computational simulatio...
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10/27/2020
In-situ data analytics for highly scalable cloud modelling on Cray machines
MONC is a highly scalable modelling tool for the investigation of atmosp...
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10/26/2020
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines
Remote Memory Access (RMA), also known as single sided communications, p...
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10/26/2020
Driving asynchronous distributed tasks with events
Open-source matters, not just to the current cohort of HPC users but als...
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10/23/2020
A Bespoke Workflow Management System for Data-Driven Urgent HPC
In this paper we present a workflow management system which permits the ...
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10/17/2020
iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?
The vertex-centric programming model, designed to improve the programmab...
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10/17/2020
Using machine learning to reduce ensembles of geological models for oil and gas exploration
Exploration using borehole drilling is a key activity in determining the...
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10/17/2020
The role of interactive super-computing in using HPC for urgent decision making
Technological advances are creating exciting new opportunities that have...
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10/04/2020
High level programming abstractions for leveraging hierarchical memories with micro-core architectures
Micro-core architectures combine many low memory, low power computing co...
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10/04/2020
It's all about data movement: Optimising FPGA data access to boost performance
The use of reconfigurable computing, and FPGAs in particular, to acceler...
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10/04/2020
Exploring the acceleration of the Met Office NERC Cloud model using FPGAs
The use of Field Programmable Gate Arrays (FPGAs) to accelerate computat...
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10/04/2020
The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing
The use of High Performance Computing (HPC) to compliment urgent decisio...
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10/04/2020
iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing
Over the last decade, the vertex-centric programming model has attracted...
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10/01/2020
Supercomputing with MPI meets the Common Workflow Language standards: an experience report
Use of standards-based workflows is still somewhat unusual by high-perfo...
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10/01/2020
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
The use of reconfigurable computing, and FPGAs in particular, has strong...
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10/01/2020
Modelling the earth's geomagnetic environment on Cray machines using PETSc and SLEPc
The British Geological Survey's global geomagnetic model, Model of the E...
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09/27/2020
A directive based hybrid Met Office NERC Cloud model
Large Eddy Simulation is a critical modelling tool for the investigation...
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09/27/2020
A highly scalable Met Office NERC Cloud model
Large Eddy Simulation is a critical modelling tool for scientists invest...
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09/27/2020
A Type-Oriented Graph500 Benchmark
Data intensive workloads have become a popular use of HPC in recent year...
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09/26/2020
A highly scalable approach to solving linear systems using two-stage multisplitting
Iterative methods for solving large sparse systems of linear equations a...
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09/26/2020
Applying Type Oriented Programming to the PGAS Memory Model
The Partitioned Global Address Space memory model has been popularised b...
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09/24/2020