Speakers and Presenters

Workshop Presenters and Session Chairs

  • Dr Elsa Gonsiorowski


    System Software Developer, Lawrence Livermore National Laboratory

    Elsa received her PhD in computer science form Rensselaer Polytechnic Institute in 2016.

  • Angelo Apa

    Technical & Business Development Director
    Lenovo Data Center, UKI

    Angelo has been in the IT industry since 1987, with twenty years in IBM and now Lenovo being preceded by time served in distribution and a fledgling PC vendor called Amstrad in the UK.  In IBM he remained primarily in the “x86 space” as a new business seller, a builder of new divisions such as the HPC and Linux business and channel leader in the UK, Paris, Zurich and in South Africa.
    Moving back to the UK&I division from the EMEA Geo where he managed the solutions and MSP business and was heavily involved in the transition to Lenovo, he is now the Technical & Business Development Director focusing upon delivering customer value through relationships with key solution vendors and business partners, along with his small but perfectly formed team and valued relationships at an EMEA level.
    Angelo has in the past started additional companies including a coffee company in South Africa which was then given to the employees as a method of allowing them to build a better life for themselves.  He was a Formula 1 marshal for 13 years, a motor boat skipper and poor sailor, passing through numerous interests now focuses on maintaining an ability to ski faster than his age, running and playing the guitar really badly.

  • Dr Toni Collis


    Appentra Solutions and Women in High Performance Computing

    Dr Toni Collis is the CBDO for Appentra Solutions, Director of Collis-Holmes Innovations and Chair of Women in High Performance Computing (WHPC). Toni is a strategic manager in the HPC community as well as an experienced lecturer and trainer. The focus of her work has been on enabling those without detailed training in computer science and HPC to still use supercomputers. Her current role at Appentra focuses on democratising access to HPC by using the new Parallware technologies to lower the barrier for academics to write and maintain parallel software. Toni is passionate about enabling a broader range of people to make effective and efficient use of HPC facilities to help further their research. As Chair and Co-Founder of WHPC Toni also developed and led training aiming to diversity the HPC workforce by providing HPC tutorials for women academics and students in Europe.

  • Mozhgan Kabiri Chimeh


    University of Sheffield

    Dr Mozhgan Kabiri Chimeh​ is a Research Associate/Research Software Engineer in Massive Scale Complex Systems Simulation with Accelerated Computing at University of Sheffield (Department of Computer Science), UK. She works in the area of complex system modelling using emerging high-performance parallel architectures and her speciality is in performance acceleration targeting Many-core and Multi-core architectures. Currently, she is developing the FLAMEGPU software framework which allows complex systems modelling on GPU architectures.

    Previously, she worked on accelerating logic gate circuit simulation targeting heterogeneous architectures that involved optimising simulation algorithms and applying them to various parallel architectures (SIMD enabled machines, clusters, and GPUs).

  • Olivia O’Sullivan


    Science and Technology Facilities Council (STFC) Hartree Centre

    Olivia O’Sullivan is part of the Impact and Engagement team at the Science and Technology Facilities Council (STFC) Hartree Centre. Olivia’s work demonstrates the value of the Hartree Centre’s work in HPC, data analytics and cognitive technologies to industry and academic audiences. Using both digital and traditional mediums, she highlights the ‘people behind the projects’ and focuses on the social and economic impact of the Hartree Centre’s collaborative work. Olivia has a Masters in Science Communication and her written work has been published in scientific magazines and blogs. Before joining the Hartree Centre, Olivia worked in public engagement with biomedical research, designing bespoke public involvement initiatives around dementia and musculoskeletal disease.

  • Alison Kennedy


    Science and Technology Facilities Council (STFC) Hartree Centre

    Alison Kennedy is the current Managing Director of PRACE and is Chair of the Board of Directors of the Partnership for Research Computing in Europe (PRACE). She joined the STFC Hartree Centre in the UK as Director in March 2016. The Hartree Centre provides collaborative research, innovation and development services that accelerate the application of HPC, data science, analytics and cognitive techniques, working with both businesses and research partners to gain competitive advantage. Prior to joining Hartree, she worked in a variety of managerial and technical HPC roles at EPCC for more than 23 years.

  • Marjolein Oorsprong



    Marjolein Oorsprong heads the communication and outreach activities for the Partnership for Advanced Computing in Europe (PRACE). With a Master in international business and languages, and more than 10 years of professional experience in international associations and project management, she leads her multi-national team of 20+ professionals, connecting PRACE with the stakeholders of the HPC eco-system.

Poster and Lightning Talk Authors


Sally Bridgwater


Numerical Algorithms Group (NAG)

Sally Bridgwater is a Technical Consultant at the Numerical Algorithms Group (NAG) in the HPC group since 2015. She currently leads the team for the Performance Optimisation and Productivity Centre of Excellence and has also worked on the EXA2CT project analysing the performance of communication within Molecular Dynamics codes towards exascale. She is a committee member of the Institute of Physics Computational Physics Group. Sally gained her PhD in Computational Physics from the University of Warwick in 2014 and first-class MSci in Physics and Mathematics at the University of Bristol in 2010. Her main interests lie in code optimisation, molecular simulation and a wider enthusiasm for the use of HPC in science.

Abstract: Performance Analysis of GS2 Plasma Turbulence Code

We will present the work done to analyse and recommend improvements to the GS2 plasma fusion code performed under the Performance Optimisation and Productivity (POP) Centre of Excellence. GS2 is a gyrokinetic flux tube initial value and eigenvalue solver written in Fortran and parallelised with MPI. Barcelona Supercomputing Center performance analysis tools Extrae and Paraver were used to analyse the performance of GS2 and calculate the POP metrics which are discussed. The work shown is a comparison of two different ways to decompose the data across MPI ranks: the existing default and a decomposition suggested by previous performance analysis. We see that the new method of decomposing the data results in a significantly improved runtime which is mainly due to a reduction in the amount of data transferred due to an improved communication pattern.

  • Cristin Merritt


    Alces Flight Limited

    With over fourteen years experience in change management for technology, Cristin brings to the table a wide range of experience in end user training, enterprise-level integration, and relationship management. Considered a relative newcomer to the world of HPC, she enters at a pivotal time where the possibilities of compute are switching from exclusive to inclusive, something that is right in her wheelhouse.
    With the Alces team she’s explored the multitude of options that have entered the market, working side-by-side with clients focused on harnessing new technology for global impact. This has resulted in projects ranging from traditional to strictly cloud-based in their creation.
    Originally hailing from the United States with a degree in Classics from the University of Florida, Cristin moved to the United Kingdom ten years ago so she could experience the actual changing of the seasons.

    Abstract: The movement towards HPC inclusivity: Achieving on-demand accessibility of High Performance Computing (HPC) in single-user, ephemeral projects through the Alces Gridware Project

    In the past two years High Performance Computing (HPC) has evolved from a specialised field to a more diverse and inclusive arena. Specifically, through public cloud. This impact provides institutions ‘hybrid HPC capabilities,’ dropping time to science dramatically depending on project size and integration methods. Through the open-source Alces Gridware project we created Alces Flight Compute, a fully-featured, scalable HPC environment for research and scientific computing. A free version was created for cloud and hybrid use to understand how an individual researcher would approach and consume on-demand HPC resource regardless of platform. Over eighteen months leaders in manufacturing, medicine, genomics, mapping, and research universities have collaborated with Alces to ascertain a broader understanding of trends, success, and barriers that exist in creating HPC environments conducive to diverse research.

    Our initial results show: – Acquisition of public cloud over traditional HPC server time is startlingly quick, with a current average time of a day and a half, including training. – Those experiencing barriers to entry for cloud were primarily due to economic or knowledge reasons, not technical. – Ephemeral (temporary) cloud workloads that are embarrassingly parallel work best with auto-scaling HPC clusters, in one case saving 64% on operational costs. – In the case of hybridisation clients primarily utilise resources which might be cost prohibitive in an on-premise design, ex. GPUs and FPGAs. – Creation of a consistent environment across platforms, while obfuscating the location for the end user, yields higher levels of user acceptance and optimisation.

  • Thi Bich Phuong Nguyen


    University of Tartu

    My name is Nguyen Thi Bich Phuong, from Vietnam. I am currently a freshman student of Bachelor of Science and Technology in University of Tartu – Estonia. Although this program almost focus on Biology and Chemistry, I am interesting in High performance computing and starting to do some works on parallel computing on the instruction of Dr. BenSon Muite – Institute of Computer Science, UT.

    Abstract: Parallel Password Cracker

    Passwords are one of the most important forms of authentication. They can be found in all walks of life: ATMs, social networks, e-services, etc. Usually, passwords are stored as hashcodes, rather than plain text, in databases by using a special hashing algorithm to protect them. Password cracking is a process of recovering passwords from data that have been stored in the system. A common approach is to try to guess repeatedly for the password and check against an available cryptographic hash of the password.
    The strength of a password depends on its length and diversity of character types. The more characters that make up a password, the larger number of possible passwords.
    A parallel computer can be used to crack passwords. It can do more calculations per second, allowing users to make more password guesses per second. This work helps people have insights into information security and demonstrates how parallel computing is used to shorten the password cracking time. It can help users create safer passwords.
    Link project: https://github.com/bichphuong1204/JohntheRipper
  • Aiman Batul Shaikh


    STFC Hartree Centre

    Aiman Shaikh is driven towards making innovative discoveries in the field of technology. Currently working as a Research Software Engineer at the Science and Technology Facilities Council (STFC) Hartree Centre, Aiman is motivated by applying her expertise to enterprise by facilitating technological advancements and unlocking value for industry through high performance computing. Enjoying both research and practical elements of her role, Aiman is driven to make a positive impact within the field by applying technology to solve industry challenges and advocating for female participation in both underdeveloped and developing countries. By presenting her work and being an active member of the HPC community, Aiman feels that her presence can encourage other female developers and software researchers to take up careers within the field.

    Abstract: DYNAMO – Dynamic Analysis Modelling and Optimisation of GDI engines

    DYNAMO (Dynamic Analysis Modelling and Optimisation of GDI engines) is an R&D project co-sponsored by the Advanced Propulsion Centre – APC6 Call. In collaboration with Ford Motor Company (Project Lead) and six other UK based partners – Loughborough University, Bath University, Siemens CDA, Hartree Centre, Cambustion, DE&TC. The project aims to significantly improve the fuel efficiency of two high volume passenger vehicle powertrains with specific intent to simultaneously reduce CO2 and noxious emissions. Modern, fuel efficient Gasoline Direct Injection (GDI) engines have been shown to actually emit more particulate than diesel engines. Worryingly, GDI engines emit particulate matter mostly in the ultra-fine size range, where current tail-pipe gas filters show low filtration efficiency. This has serious environmental consequences and health implications. (1)

    During the project the team helps to develop and mature new and upgraded advanced engine technology ready for commercialisation and aims to revolutionise the process and methodology currently used to design and develop complex powertrains. It will demonstrate an analytical approach which enables multiple engine systems to be optimised to multiple objectives in parallel and under transient conditions to improve legislated and real world fuel economy, whilst drastically reducing development time and costs.(2)
    High Performance Computing (HPC) allows scientists and engineers to solve complex, compute-intensive problems efficiently. Hartree centre is supporting the project with HPC facilities and optimising the end results.
    References 1.https://www.brookes.ac.uk/uploadedfiles/faculty_of_technology,_design_and_environment/makingthefuture.pdf 2.http://gtr.ukri.org/projects?ref=113130


Emma Tonkin


University of Bristol

Abstract: High-volume data processing for ambient healthcare research prototyping

The SPHERE project continues to deploy multimodal sensor networks into dozens of homes in the South West of England. The resulting dataset is expected ultimately to be large enough to significantly complicate reprocessing using the methods developed during the prototype phase of SPHERE, which were designed in the expectation that they would be deployed locally to each home. Therefore, various alternative means for processing the data are considered, including distributed indexing execution. For reasons of confidentiality and pragmatism, the use of public cloud platforms is not appropriate. The University of Bristol’s HPC facility, Bluecrystal, will be used for this purpose.

We are currently in the process of adapting our existing processing pipelines to the platform. Once this is complete, we expect the increase in processing speed and parallelism to permit us to compare the behaviour of several machine learning approaches across the dataset. Where practical, the most successful methods will eventually be adapted to run on the sensor platforms themselves.


  • Mozhgan Kabiri Chimeh


    University of Sheffield

    Dr Mozhgan Kabiri Chimeh​ is a Research Associate/Research Software Engineer in Massive Scale Complex Systems Simulation with Accelerated Computing at University of Sheffield (Department of Computer Science), UK. She works in the area of complex system modelling using emerging high-performance parallel architectures and her speciality is in performance acceleration targeting Many-core and Multi-core architectures. Currently, she is developing the FLAMEGPU software framework which allows complex systems modelling on GPU architectures.

    Previously, she worked on accelerating logic gate circuit simulation targeting heterogeneous architectures that involved optimising simulation algorithms and applying them to various parallel architectures (SIMD enabled machines, clusters, and GPUs).

  • Gokcen Kestor


    Oak Ridge National Laboratory

    Dr. Gokcen Kestor is a research scientist at the Oak Ridge National Laboratory (ORNL) in the The Computer Science Research group. Gokcen earned her Ph.D. in Computer Science from the Polytechnic University of Catalonia (UPC) in 2013, Barcelona. Her dissertation investigated effective software transactional memory solutions.

    Her research interests include resilience for future large scale systems, parallel programming models and runtimes, especially task based programming models, compilers, power and performance analysis and modeling of HPC applications and emerging technologies, investigations into effective use of emerging memory technologies and machine learning techniques in the context of HPC.

    She is currently working on fault tolerance solutions for distributed task-programming models, configurable soft error detection techniques, and evaluation of emerging memory technologies.
    She is a member of the ACM and IEEE Computer Society.

  • Mariam Umar


    Dr. Mariam Umar is a Software Architect at Intel. Mariam earned her Ph.D. in Computer Science from Virginia Tech in Spring, 2018. Her research involves exploration and implementation of performance and energy models as well as co-design techniques for current high-performance and future exascale architectures.