D. Brayford

ORCID: 0009-0004-9809-7505
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About
Contact & Profiles
Research Areas
  • Plant Pathogens and Fungal Diseases
  • Mycorrhizal Fungi and Plant Interactions
  • Yeasts and Rust Fungi Studies
  • Mycotoxins in Agriculture and Food
  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Fungal Biology and Applications
  • Plant Pathogens and Resistance
  • Quantum Computing Algorithms and Architecture
  • Banana Cultivation and Research
  • Plant Disease Resistance and Genetics
  • Cloud Computing and Resource Management
  • Quantum Information and Cryptography
  • Particle physics theoretical and experimental studies
  • Essential Oils and Antimicrobial Activity
  • Lichen and fungal ecology
  • Scientific Computing and Data Management
  • Interconnection Networks and Systems
  • Distributed systems and fault tolerance
  • Particle Detector Development and Performance
  • Plant-Microbe Interactions and Immunity
  • Software System Performance and Reliability
  • Botanical Research and Applications
  • Plant Disease Management Techniques

Hewlett-Packard (Germany)
2023-2024

Leibniz Supercomputing Centre
2016-2022

National University of Ireland
2021

Bavarian Academy of Sciences and Humanities
2021

Irish Centre for High-End Computing
2021

IBM (United States)
2021

Lawrence Livermore National Laboratory
2021

Red Hat (United States)
2021

Isotopen Technologien München (Germany)
2021

Max Planck Computing and Data Facility
2017

High-performance computing (HPC) is recognized as one of the pillars for further progress in science, industry, medicine, and education. Current HPC systems are being developed to overcome emerging architectural challenges order reach Exascale level performance, projected year 2020. The much larger embedded mobile market allows rapid development intellectual property (IP) blocks provides more flexibility designing an application-specific system-on-chip (SoC), turn providing possibility...

10.1109/sc.2016.37 preprint EN 2016-11-01

Neonectria (Hypocreales: Nectriaceae) species having Cylindrocarpon anamorphs that lack microconidia and chlamydospores include: Neo. discophora var. discophora, rubi, stat nov. et comb. nov., lucida, viridispora, sp. westlandica, Perithecia of these are red perithecial anatomyis the N. mammoidea type, with a palisade hypha-like cells in outer wall. These occur on recently dead or dying trees. betulae, nov dumontii, anatomically biologically similar to those discophora. The only known...

10.2307/3762176 article EN Mycologia 2004-05-01

10.1007/bf00437097 article EN Mycopathologia 1996-01-01

The increasing interest in the usage of Artificial Intelligence techniques (AI) from research community and industry to tackle "real world" problems, requires High Performance Computing (HPC) resources efficiently compute scale complex algorithms across thousands nodes. Unfortunately, typical data scientists are not familiar with unique requirements characteristics HPC environments. They usually develop their applications high-level scripting languages or frameworks such as TensorFlow...

10.1109/hpec.2019.8916576 preprint EN 2019-09-01

10.1080/09670879009371470 article EN Tropical Pest Management 1990-01-01

10.1016/s0953-7562(09)81373-7 article EN Mycological Research 1990-09-01

Nine species of Nectria with didymosporous ascospores are described or redescribed. Cylindrocarpon anamorphs redescribed newly for eight these species. A new group within is introduced centered on N. veuillotiana. veuillotiana and its C. candidulum anamorph known geographical range extended. coronatum as the coronata. acrotyla (C. mirum) platycephala permirum) in group. The polylepidis was not grown pure culture but also belongs to this assumed have a anamorph. cinnamomea cinnamomeum),...

10.2307/3760508 article EN Mycologia 1993-07-01

Neonectria (Hypocreales: Nectriaceae) species having Cylindrocarpon anamorphs that lack microconidia and chlamydospores include: Neo. discophora var. discophora, rubi, stat nov. et comb. nov., lucida, viridispora, sp. westlandica, Perithecia of these are red perithecial anatomyis the N. mammoidea type, with a palisade hypha-like cells in outer wall. These occur on recently dead or dying trees. betulae, nov dumontii, anatomically biologically similar to those discophora. The only known...

10.1080/15572536.2005.11832955 article EN Mycologia 2004-05-01

10.1016/s0007-1536(87)80117-1 article EN Transactions of the British Mycological Society 1987-10-01

Journal Article Fusaric acid and other metabolite production in Fusarium oxysporum f. sp. vasinfectum Get access J.M. Luz, Luz CAB International Mycological Institute, Ferry Lane, Kew, Surrey TW9 3AF, UK Search for works by this author on: Oxford Academic Google Scholar R.R.M. Paterson, Paterson D. Brayford Letters Applied Microbiology, Volume 11, Issue 3, 1 September 1990, Pages 141–144, https://doi.org/10.1111/j.1472-765X.1990.tb00144.x Published: 01 1990 history Received: 14 May Accepted: June

10.1111/j.1472-765x.1990.tb00144.x article EN Letters in Applied Microbiology 1990-09-01

There is an ever-increasing need for computational power to train complex artificial intelligence (AI) and machine learning (ML) models tackle large scientific problems. High performance computing (HPC) resources are required efficiently compute scale across tens of thousands nodes. In this paper, we discuss the issues associated with deployment frameworks on secure HPC systems how successfully deployed a standard framework production system, three-dimensional convolutional GAN (3DGAN),...

10.1145/3394277.3401850 article EN 2020-06-18

Energy consumption will become one of the dominant cost factors that govern next generation large HPC centers. In this paper we present Dynamic Voltage Frequency Scaling (DVFS) Plugin to automatically tune several energy related tuning objectives at a region-level applications. This plugin works with Periscope Tuning Framework which provides an automatic framework including analysis, experiment creation, and evaluation. The actions are based on changes in frequency via DVFS. include...

10.1109/icghpc.2016.7508061 article EN 2016-02-01

Tensor network methods are incredibly effective for simulating quantum circuits. This is due to their ability efficiently represent and manipulate the wave-functions of large interacting systems. We describe challenges faced when scaling tensor simulation approaches Exascale compute platforms introduce QuantEx, a framework circuit at Exascale.

10.1109/qcs54837.2021.00006 article EN 2021-11-01
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