CERL Staff and Research Interest
Adrian Tate, Director
As principal engineer and director of CERL, Adrian Tate provides technical and strategic oversight for Cray EMEA’s customer-led research and development activities. Adrian is the PI of Cray’s Human Brain PCP Project, which is codesigning a workflow optimization toolset for neuroscientific mixed workloads. Previously Adrian worked in Cray’s Office of the CTO under successive CTOs Bill Blake and Steve Scott, focusing on future software products. Adrian was previously based at Cray headquarters in Seattle, where he was a principal engineer and technical lead of Scientific Libraries. In this role, Adrian designed and optimized Cray’s mathematical libraries, which remains a technical and research interest. His current main research interests are in data-centric software and optimization, middleware to support mixed workloads, and efficient memory hierarchy programming.
Aniello Esposito, Research Engineer
Aniello Esposito supports the KAUST Center of Excellence. Before CERL, Aniello worked as an application analyst for Cray, focusing on the optimization of large-scale scientific codes and general user support on Cray systems. This work took place on site for customers such as the High Performance Computing Center Stuttgart (HLRS), the German weather service (DWD), the North-German Supercomputing Alliance (HLRN), KAUST and others. His work has also included user training and management of long-term projects, and support of presales activities and site acceptances. Aniello studied physics at the Swiss Federal Institute of Technology in Zurich (ETHZ) with a focus on theory and computational methods and earned a Ph.D. from ETHZ in applied physics. After a postdoc he joined Cray in January 2012. Aniello’s main interests are the implementation and optimization of large-scale scientific codes in the field of traditional high-performance computing and high-performance data analytics, as well as machine learning.
Nina Mujkanovic, Software Engineer
Nina Mujkanovic joined CERL in 2017. She performs system administration duties and contributes to various research projects as a software engineer. Prior to joining Cray, she was part of the HPC system administration team at the University of Bern in Switzerland, where she also earned an M.Sc. in computer science. During her studies, she specialized in advanced information processing, with a special focus on machine learning. Her thesis focused on creating a deep neural network for the detection of pathologies in the retina. Nina’s interests include deep learning, HPC and open source.
Utz-Uwe Haus, Senior Research Engineer
Utz-Uwe Haus, senior researcher at CERL, studied mathematics and computer science at the Technical University of Berlin (TU Berlin). After obtaining a doctorate in mathematics at the University of Magdeburg he worked on nonstandard applications of mathematical optimization in chemical engineering, material science and systems biology. He lead a junior research group at the Magdeburg Center for Systems Biology and was principal investigator on various EU FP7 ITN projects. After five years as senior researcher at the Department of Mathematics at ETH Zürich, he is now responsible for developing CERL’s Mathematical Optimization and Operations Research group. Research interests focus on parallel programming and data transfer aware scheduling problems, as well as data analytics and novel compute architectures.
Harvey Richardson, Senior Research Engineer
Harvey Richardson began his career with research roles after being awarded a Ph.D. in physics. As a researcher, he gained an interest in parallel computing through use and management of AMT DAP and Meiko systems. In 1992 Harvey joined Thinking Machines Corporation providing on-site support of the national Connection Machine CM-200 service at EPCC in Edinburgh. Harvey was responsible for user training, hardware, software and application support. In 1998 Harvey joined the HPC benchmarking group of Sun Microsystems and was responsible for running customer benchmarks to determine suitability of product and performance for customers' applications. Typical environments were large SMPs and Infiniband clusters. Harvey joined Cray in 2010 to work on research projects, both directly with customers and in larger research collaborations such as the EU CRESTA Exascale project looking at technologies that can help take real applications to exascale. Harvey has developed and taught many training courses and workshops both for customers and at international conferences. He has also developed various profiling and benchmarking tools. Harvey has particular interests in computer architecture and performance, programming models and language standards.
Alessandro Rigazzi, Research Engineer
Alessandro Rigazzi, a research engineer at CERL, studied at ETH Zürich, earning a B.Sc. and an M.Sc. in computer science, with specialization in computational science and a thesis in scientific visualization. He then earned a Ph.D. from the Institute of Computational Science at USI (Università della Svizzera Italiana, Lugano), with a thesis focusing on fast nonlinear solution methods for HPC (running on the Cray systems installed at CSCS, the Swiss National Supercomputing Centre, Lugano). After one year as a postdoc at ICS, he was hired by Cray to work within the Human Brain Project, supervising the setup of the pilot system Julia, focusing on the visualization component and the application side. His current tasks include research projects linked to the HBP initiative, and parallelization of deep learning techniques at large scale. Alessandro’s main interests are machine learning, visualization and software optimization for HPC.
Karthee Sivalingam, Research Engineer
As a research scientist at Cray’s Bristol office, Karthee Sivalingam is part of the Center of Excellence (CoE) at ARCHER, which is the latest U.K. national supercomputing site. The CoE provides support for ARCHER users to maximize their use of Cray technologies for their scientific research. Previously Karthee worked as a computational software engineer/scientist in the scientific computing department at the Science and Technology Facilities Council, where his work focused on a variety of industrial projects with an emphasis on working with source code to improve performance and scalability and to develop new algorithms and software.
He completed his doctorate in particle physics at the University of Edinburgh. With more than five years’ experience in commercial software development (IT) and six years in HPC research and development, Karthee has performed various roles as a computational scientist, researcher, technology consultant, programmer analyst and technology lead. His objective is to learn and improve in high-performance computing and contribute to scientific research. Karthee’s main research interests are new emerging architectures and object-oriented design for HPC.