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We are excited to announce the release of version 3.1. Version 3.1 - with GPU acceleration - released! 1 The paper is open-access and we would appreciate that if you use gprMax and publish your work, you would cite this new paper. We carried out this work as part of a project with Google Fiber (USA), and had support from NVIDIA (UK). We expect these performance benefits to rapidly advance GPR research in areas such as full-waveform inversion and machine learning It achieved performance benefits up to 30 times faster than the parallelised (OpenMP) CPU solver can achieve on a commonly-used desktop CPU (Intel Core i7-4790K), and significantly faster than a server CPU (Intel Xeon E5-2640). We tested our GPU-based solver on a range of Kepler and Pascal NVIDIA GPUs. We designed optimal kernels for GPU execution using NVIDIA's Compute-Unified Device Architecture (CUDA).
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We are pleased to announce our paper describing the new GPU performance enhancements to gprMax has been published in the journal of Computer Physics Communications. GPU performance (single precision, float32) Paper Highlight - Our paper on GPU version published in Computer Physics Communications 2 CPU vs.
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The workshop is being organised by Dr Craig Warren (Northumbria University, UK), Dr Antonis Giannopoulos (University of Edinburgh, UK), and Dr Iraklis Giannakis (University of Aberdeen)įull details and registration information at This workshop replaces the planned face-to-face event that was due to take place 6-7 April 2020 at Northumbria University, Newcastle, UK, and had to be postponed due to the coronavirus pandemic. 84% of attendees (that voted in the poll) said they would be willing to pay a small registration fee to attend such events.ģ-day online workshop on GPR modelling with gprMax 2Ī free 3-day online workshop will take place on 29-31 July 2020.99% of attendees (that voted in the poll) would like to see further dedicated workshop/training events on specific aspects or applications of GPR modelling.97% of attendees (that voted in the poll) would like to see this workshop become an annual event.
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Level of familiarity with gprMax was mixed but with most attendees either only having discovered it for the first time, or having run some basic models.Most attendees use (or plan to use) gprMax for solving GPR related problems.There were ~170 unique viewers per day from ~44 different countries worldwide.~330 delegates registered for the event.The paper is available, open access, at: Some of the recent advanced features in gprMax, such as fractal-based roughness for realistic topographic modelling, have been utilised. The research team describe the use of gprMax to carry out numerical modelling to assess GPR imaging potential at the landing site. “Data provided by RIMFAX will aid Perseverance’s mission to explore the ancient habitability of its field area and to select a set of promising geologic samples for analysis, caching, and eventual return to Earth.”
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The paper describes RIMFAX, part of the payload for NASA’s Mars 2020 Perseverance Rover, which has been designed to image the subsurface structure of Mars, and to provide information regarding subsurface composition. Paper Highlight - gprMax used for modelling RIMFAX GPR on NASA Mars Rover 1 Mars2020 Perseverance Rover (Copyright: NASA)Ī very exciting and interesting paper entitled Radar Imager for Mars’ Subsurface Experiment-RIMFAX has recently been published by Hamran et al in Springer's Space Science Reviews journal.