Judges

Filippo Spiga

Filippo Spiga (@filippospiga, LinkedIn) is EMEA HPC Developer Relations manager at NVIDIA. His work focuses helping and supporting HPC developers in their journey into accelerated computing. Prior NVIDIA, he worked at Arm Research focusing on HW-SW co-design for High Performance Computing and High Performance Data Analytics. Before arm, he worked for 5 years at the Research Computing Services of University of Cambridge as Head of Research Software Engineering. He has been developing and contributing in various HPC codes (mainly physics, chemistry and engineering) for more than 9 years. He has also been a long-term contributor of Quantum ESPRESSO. For the the past 4 years he has been involved with the HPC Advisory Council in co-organising and run the ISC Student Cluster Competitions.

Scot Schultz

Scot Schultz (@scotschultz)is a HPC and AI technology specialist with broad knowledge in operating systems, machine learning frameworks, high-speed interconnects and processor technologies. Joining Mellanox in early 2013, Schultz is 30-year veteran of the computing industry. Prior to joining Mellanox, spent 17 years in various engineering and leadership roles; including strategic HPC technology ecosystem enablement. Scot has been instrumental with the growth and development of numerous industry standards-based organizations including OpenPOWER Foundation, GenZ, Open Fabrics Alliance, HPC Advisory Council and many others.

Dan Olds

Dan Olds is a technology industry analyst and partner at high tech strategy firm OrionX. In addition to server, storage, and network technologies, Dan closely follows AI, Cloud, Large Enterprise, and HPC markets. He co-hosts the popular Radio Free HPC podcast and is a frequent contributor to various HPC and industry publications. Dan began his career at Sequent Computer Systems, an early pioneer in high scalable business servers. He was the inaugural lead for the highly successful server consolidation program at Sun Microsystems and was at IBM in the strategically important mainframe and Power systems groups. He is a graduate of University of Chicago Booth School of Business with a focus on finance and marketing. Dan has been following and documenting Student Cluster Competitions for nearly a decade and is the go to authority on all things related to the competitions.

Anja Gerbes

Anja works at the Center for Information Services and High Performance Computing at TU Dresden. A considerable part of her job role is to develop a range of courses and resources to enable users to work with the cluster. In addition, she is doing a PhD at the German Climate Research Center in Hamburg as an external member. The main topic is Compiler Optimization in High-Performance Computing with an aim to improve weather forecasting and climate modeling. The goal of her PhD is to study the compiler for deficits in terms of performance when translating HPC applications and to understand the limitations of compilers in making the necessary optimizations. These insights can then be incorporated into the compiler for future automatic compiler optimization. Automatic program transformation using source-to-source instrumentation of parallel programs will prepare HPC applications for future performance analysis.

Elizabeth Leake

Elizabeth Leake (@STEMTrek) is a consultant, correspondent and advocate who serves the global high-performance computing (HPC) and data science industries. In 2012, she founded STEM-Trek, a global, grassroots nonprofit organization that supports scholarly travel and workforce development opportunities for science, technology, engineering and mathematics (STEM) scholars from underserved regions and underrepresented groups.
As a program director, Leake has mentored hundreds of early-career professionals who are breaking cultural barriers in an effort to accelerate scientific and engineering discoveries. Her multinational programs have specific themes that resonate with global stakeholders, such as food security data science, blockchain for social good, cybersecurity/risk mitigation, and more. As a conference blogger and communicator, her work drew recognition when STEM-Trek received the 2016 and 2017 HPCwire Editors’ Choice Awards for Workforce Diversity Leadership.

Pak Lui

Pak Lui (@paklui, LinkedIn) is the Principal HPC Solution Architect for HPC at AMD. He has served in various roles in the HPC industry for about 20 years. Before AMD, he has been a Principal Architect at Futurewei Technologies, Huawei USA R&D center, who worked on the Arm HPC Solutions and served as an Partner/Associate Engineer at Linaro. Before that, Pak worked as the Senior Manager of Application Performance at Mellanox Technologies for over 7 years, and involved in demonstrating application performance on various open source and commercial applications. Pak dedicated time on the HPC Advisory Council and involved in characterizing HPC workloads, analyzing MPI profiles to optimize HPC applications, as well as exploring new technologies, solutions and their effectiveness on real HPC workloads. Prior to joining Mellanox Technologies, Pak worked as a Cluster Engineer at Penguin Computing. Pak also worked at Sun Microsystems for over 7 years in Sun’s High Performance Computing (HPC) group as a Software Engineer for Open MPI and Sun HPC ClusterTools MPI library development. Pak holds a B.Sc. in Computer Systems Engineering and a M.Sc. in Computer Science from Boston University in the United States.

Luc-Henri Jolly

Luc-Henri Jolly currently works at the Institut Parisien de Chimie Physique et Théorique (CNRS/Sorbonne Université). He's got a PhD in Theoretical Chemistry, and does research in Solid State Physics, Condensed Matter Physics and Computational Physics. He also has strong skills in system management of clusters under Linux. He is one of the authors of Tinker-HP (@TINKERtoolsMD), a massively parallel software for new generation polarizable molecular dynamics. His main activity is about vectorization of Tinker-HP on modern architectures (mainly Intel). He also works on the GPU version, which should be available by 2020. He received the Atos-Fourier Award 2018 in HPC with Tinker-HP.

Jussi Enkovaara

Jussi Enkovaara (LinkedIn) is senior application specialist in High-Performance Computing support at CSC - IT Center for Science, the Finnish national supercomputing center. He holds a Ph.D. in computational physics and he is author or co-author in 24 scientific publications, which have received over 2800 citations (h-index 18). He has extensive experience of HPC software development especially in the context of electronic structure simulations. He has been one of the main developers of the GPAW code, open source package for atomic scale materials science problems.

Stan Moore

Stan Moore is a computational scientist at Sandia National Laboratories specializing in particle-based simulation methods such as molecular dynamics and direct simulation Monte-Carlo. He is a software developer of the LAMMPS and SPARTA codes, and his research currently focuses on extending particle-based codes to use Sandia's Kokkos performance portability library to run efficiently on next-generation supercomputing platforms at extreme scale. Stan earned a PhD in chemical engineering from Brigham Young University, where his research focused on developing a new method to predict chemical potential using molecular simulations.

Steven Hofmeyr

Steven Hofmeyr is a researcher at Lawrence Berkeley National Laboratory. Previously he was founder and Chief Scientist at cyber-security company Sana Security, which was acquired by AVG in 2009. He received a Ph.D. in Computer Science from the University of New Mexico in 1999. His research interests include: information security; modeling of complex systems, such as the Internet, financial markets and diseases in the lungs; future operating systems for new architectures; scheduling and load balancing for parallel programming; and very large scale metagenome assembly. He was named one of Infoworld's top 12 Innovators of the Year in 2004, and received the MIT Technology Review TR100 Innovators of the Year award in 2003 for Advances in Network Security.

Jan Laukemann

Jan Laukemann (LinkedIn) is a Research Scientist and Ph.D Intern at Intel Labs where he focuses on High Performance Computing, Performance Engineering, and Performance Analysis. He works on application optimization for HPC systems and novel algorithms for scalable linear algebra, tensor decomposition and graph computations. His research interests primarily include x86 and non-x86 computer architectures, their performance behavior on node-level, and in-core vectorization techniques. He received his Master's degree in computer science from University of Erlangen-Nürnberg (FAU), Germany, and currently pursues his Ph.D with the group of the Erlangen National High Performance Computing Center (NHR@FAU), Germany. Before being part of the organization committee of the ISC Student Cluster Competition, he participated himself in multiple Student Cluster Competitions in the US and China.