Speakers

Giovanni Agosta is currently Associate Professor at Politecnico di Milano, Italy, where he obtained the doctorate in ICT in 2004. His research interests focus on compiler technologies for assessing and enforcing extra functional properties of programs, ranging from efficiency to security and energy. He is currently local PI for Politecnico di Milano in The European PILOT project, a member of several CINI National Laboratories, a Senior Member of the ACM, and an associate editor of SoftwareX.

Biagio Cosenza is a tenure-track Assistant Professor in the Department of Computer Science at the University of Salerno, Italy, and a member of the Khronos SYCL Working Group. He joined the University of Salerno in August 2019 through a national brain gain program (Attraction and International Mobility), and received the Abilitazione for Italian Associate Professorship.
From 2015 to 2019, he was Senior Research at the TU Berlin, Germany, where he was Principal Investigator for the DFG project Celerity and received the Habilitation from the Faculty IV. From 2011 to 2015, he was Postdoctoral researcher at the University of Innsbruck, Austria, where he contributed to the Insieme Compiler project and the DK-Plus multidisciplinary platform for Scientific Computing. His research is currently funded by the European HPC Joint Undertaking (LIGATE project), the Italian Ministry of Research (LibreRT project, PRIN 2022), and several industrial projects.
Cosenza’s main research interests are in the field of high performance computing, in particular with respect to programming models, compiler technology, optimization and tuning.

Pasqua D’Ambra is research director with the National Research Council of Italy (CNR) at the

Naples branch of the Institute for Applied Computing “M. Picone” (IAC). Her research interests are

in algorithms and software for parallel numerical linear algebra with applications to Computational

and Data Science and her activities are carried on within HPC national and international projects

where she also serves with PI roles. Main contributions are in algebraic multilevel preconditioners

and solvers for sparse linear systems with applications to computational fluid dynamics and

data/graph analysis. She co-authored  more than 80 papers on international peer-reviewed journals

and conference proceedings and is co-leader of the PSCToolkit and BootCMatchGX numerical

software teams. She is member of the governing board of HPC-Key Technology and Tools

laboratory at the “Consorzio Inter-universitario Nazionale per l’Informatica” (CINI) and of the

National Group for Scientific Computing at the “Istituto Nazionale di Alta Matematica” (INdAM).

Daniele De Sensi is a tenure-track Assistant Professor at the Department of Computer Science, Sapienza University of Rome. He was previously an ETH Fellow in the Scalable Parallel Computing Laboratory, ETH Zurich, and a postdoctoral researcher at the University of Pisa, where he received his Ph.D. in 2018.
He co-authored over 40 papers on high-performance networks for HPC systems and data centers, in-network computing, collective operations, parallel and distributed programming, and power-aware computing. He won the Best Reproducibility Advancement Award at SC22 and a Best Paper Honorable Mention at CCS22. He served, among others, on the Program Committee of SC, IPDPS, ICPP, HPDC, HiPC, Euro-Par, and PDP.

Torsten Hoefler is a Professor of Computer Science at ETH Zurich, a member of Academia Europaea, and a Fellow of the ACM and IEEE. His research interests revolve around the central topic of "Performance-centric System Design" and include scalable networks, parallel programming techniques, and performance modeling. Torsten won best paper awards at the ACM/IEEE Supercomputing Conference SC10, SC13, SC14, SC19, SC22, SC23, HPDC'15, HPDC'16, IPDPS'15, and other conferences. He published hundreds of peer-reviewed scientific conference and journal articles and authored chapters of the MPI-2.2 and MPI-3.0 standards. He received the IEEE CS Sidney Fernbach Award, the ACM Gordon Bell Prize, the ISC Jack Dongarra award, the Latsis prize of ETH Zurich, as well as both ERC starting and consolidator grants. Additional information about Torsten can be found on his homepage at htor.inf.ethz.ch

Dr. Daniele Lezzi (M) is senior researcher in the Computer Sciences department of Barcelona Supercomputing Center. He holds a B.Sc. degree in computer engineering in 2002 and the Ph.D. in Information Technology Engineering in 2007 from the University of Salento, Italy. His research interest covers High Performance, Distributed, Grid and Cloud Computing and programming models. In particular this research addresses the design of programming frameworks for the porting and execution of scientific applications on distributed computing infrastructures like Edge and Clouds with special emphasis on interoperability.
He participated in several EU funded projects in FP7 and H2020 programs and he is currently involved in the the AI-SPRINT and DT-GEO projects where is PI of BSC group. He participates in the Red e-Ciencia that coordinated the Spanish activities for EOSC and in the RedSKA thematic network.

Master Degree in Photochemistry and Molecular Materials obtained at University of Bologna and a PhD in Nanoscience at the University of Bologna. During his research activity, he has focused on photocatalysis, particles tracking algorithms and statistical analysis. At CINECA, working as a member of the User Support team, mainly as a support for academical users. He's also involved in teaching activities, in particular in "Introduction to Julia programming" and "Introduction to Parallel Programming with MPI and OpenMP" courses.

Alessandro Marani has a Master’s Degree in Mathematics, with a thesis on the field of Algebraic Topology. Since 2011, he works as a member of the HPC User Support staff at CINECA, where his focus is on production aspects such as sanity checks, benchmarks and scheduler priority tuning. He also co-operates with OGS, the Italian Institute of Oceanography, for the development of a workflow related to biogeochemistry modeling and forecasting of the Mediterranean Sea. At CINECA, he is in charge of the annual HPC Course of Introduction to Parallel Programming with MPI and OpenMP.

Nitin Shukla received his Master's in Physics Engineering and PhD in Computational plasma physics from Instituto Superior Técnico (IST), Department of Physics, (Lisbon, Portugal). After his PhD, he joined the supercomputing centre CINECA in Bologna, Italy, as a High-Performance Computing (HPC) analyst, where he is involved in developing and deploying parallel codes on modern HPC architectures with a variety of programming languages and paradigms. Nitin Shukla is the coordinator of SPACE center of execellence EU project of CINECA and PI of the project try21 to port the plasma code ECsim to GPU using OpenACC, co-developer of the CUDA version of the XShell code (H2020 ChEESE project). He is also DevTeam member of the project DESTINE for optimisating, performing analysis of the code RAPS20.

 He is also a technical referee for national and international HPC calls and convener of courses on JuliaLang, OpenMP, OpenACC, and CUDA.

Didem Unat is a faculty member at Koç University and director of Parallel and Multicore Computing Laboratory. She is the first researcher from Turkey to receive ERC funding from the European Research Council in the field of Computer Science for her project BEYONDMOORE for 2021-2026 period. She is currently acting as the project coordinator of the EuroHPC partnered project of 2.6M €. She is named the “Emerging Woman Leader in Technical Computing” by ACM SigHPC in 2021, the first recipient of this award outside the US.

She is known for her work on programming models, performance tools, and system software for emerging parallel architectures. She received her PhD degree from the University of California, San Diego, and later the Luis  Alvarez Postdoctoral Fellowship from Lawrence Berkeley National Laboratory. She received the Marie Sklodowska-Curie Individual Fellowship from the European Commission in 2015, the BAGEP Award from the Turkish Academy of Sciences in 2019, the British Royal Society Newton Advanced Fellowship in 2020, and the 2021 Scientist of the Year – Young Scientist Awards by Bilim Kahramanları Derneği in Turkey.

Philippe Velha is an established physicist whose expertise lies mainly in Silicon Photonics and nanofabrication. In 2001 he entered the École centrale de Lyon, considered one of the most prestigious schools of engineering and continuously ranking one of the top five in France, where he graduated with a degree in engineering and a Master of Science in Integrated Digital Electronics. In 2005, he started a PhD in Silicon Photonics working for 3 different laboratories: Institut d'Optique, Laboratoire des Technologies de la Micro-electronique and SiNaPS from the CEA – Grenoble. In this multi-disciplinary environment he designed, fabricated and measured the first high quality factor integrated micro-cavities known today as nanobeams. He became a research assistant at the University of Glasgow in 2008 after obtaining a doctorate degree in Physics, with honors, from the Université Paris-Sud XI. His research field spans from purely passive Silicon Photonics to more challenging topics such as light modulators, photodetectors and integrated light-sources on Silicon. In 2012 his expertise in nanotechnology allowed him to fabricate, in collaboration with M. Mirza, the smallest nanowire (2.9 nm) ever fabricated by top-down approach.

Dr Velha research interests also touched other fundamental optoelectronics topics such as terahertz sources in Silicon-Germanium and excitonic emission of strained Germanium. His work has been published in several high impact international peer-reviewed scientific journals. He is co-author, at the moment (2023), of over 130 publications and a book which are regularly cited as reference. Over the years, he has been involved in the supervision of over 10 PhD students. He has also been teaching a course in Electronics for over 3 years at the University of Glasgow. In June 2013, Dr Velha has joined the newly created Silicon Photonics group at Scuola Superiore Sant’Anna (Pisa-Italy) as Silicon Photonics designer.

It stayed there until 2021 and published several important papers in telecommunication and patents in cooperation with Ericsson.

In 2022, he joined the company Infibra Technologies (Brembo spa) as Project manager developing innovative solutions in optical fiber sensing.

In septembre 2022, he was awarded a tenure track position as assistant professor at the university of Trento where he teaches courses in Electronic and optoElectronics.

Filippo Mantovani is an established researcher who is responsible for the Mobile and Embedded-based HPC group at the Barcelona Supercomputing Center (BSC). He graduated in mathematics and holds a Ph.D. in Computer Science from the University of Ferrara, Italy. He has worked as a scientific associate at the DESY laboratory in Zeuthen, Germany, and the University of Regensburg, Germany, spending most of his scientific career in computational physics and high-performance computing. He has developed and evaluated large high-performance computing systems, contributing to projects such as Janus, QPACE, and Mont-Blanc. Additionally, he is involved in the FPGA prototyping tasks of RISC-V-based accelerators within the European Processor Initiative (EPI). He currently leads the collaboration between BSC and industrial group Inzu/Aingura, aiming to optimize high-throughput manufacturing systems.

Dr. Giulia Guidi is an Assistant Professor of Computer Science at Cornell University in the Bowsers College of Computing and Information Sciences and is a member of the graduate field of Computational Biology and Applied Mathematics. Dr. Guidi’s work focuses on high-performance computing for large-scale computational sciences. She received her Ph.D. in Computer Science from the University of California Berkeley, under the supervision of Aydin Buluç and Kathy Yelick. Dr. Guidi is part of the Performance and Algorithms Research Group in the Applied Math and Computational Sciences Division at Lawrence Berkeley National Laboratory, where she is currently an affiliate faculty member. She received the 2024 SIAM Activity Group on Supercomputing Early Career Prize, the 2023 Italian Scientists & Scholars in North America Foundation Young Investigator Mario Gerla Award, and the 2020 ACM Special Interest Group on High Performance Computing Computational & Data Science Fellowship. Dr. Guidi is interested in developing algorithms and software infrastructures on parallel machines to accelerate data processing without sacrificing programming productivity and make high-performance computing more accessible.

Gil Bloch is an HPC and AI specialist with broad experience in fast interconnect technologies for clusters, datacenters and cloud computing. His current responsibilities include co-design and in-network computing for HPC and machine learning. Gil is teaching Fast Networks and RDMA programming in the Hebrew University of Jerusalem (HUJI) and in Ben Gurion University of the Negev (BGU).

Before working on in-network computing, Gil had multiple engineering and architecture positions including network adapters and switches ASIC design and architecture, RDMA offload ASIC and open-source networking software for high performance computing. Gil is an author/co-author of multiple patents in the area of computer networks and network adapters. Gil holds a BSc degree in Electrical Engineering from the Technion, Israel Institute of Technology.

Salvatore’s research primarily focuses on in-network computing, programming models, and interconnects. He earned his Ph.D. from ETH Zurich, where he worked on enabling in-network streaming processing, defining the hardware architecture and the programming model, and evaluating different use cases that can benefit from network programmability. Today, Salvatore is a Senior Software Architect at NVIDIA, focusing on programmable in-network accelerators for HPC and AI.