Program (CET)

The amount of data generated by experiments, simulations, and sensors continues to explode. Processing has expanded beyond analysis and visualization to in situ feature detection, control and steering, compression/reduction, and... Read More

The rise of new experimental data analysis techniques, together with the ever expanding set of computational accelerators, create challenges and opportunities for the facilities IT landscape. At PSI we host... Read More

Numerical Weather Prediction (NWP) is a highly data intensive HPC application. ECMWF operational weather forecasts generate massive amounts of I/O in short bursts, accumulating to tens of TiB in hourly... Read More

The Computational Urban Sciences Group at ORNL, in partnership with NREL and several external stakeholders, have stood up a real-time digital twin focused on mobility for Chattanooga. The system has... Read More

Tape technology is undergoing a renaissance. The latest tape recording-density demonstration at the Zurich Research Laboratory established the feasibility to reach 317 Gb/in2 in products towards the end of the... Read More

We discuss current HPC storage systems and the demands they place on the data network. We speculate on how these demands will change and what will be required of the... Read More

Participants in SOS24 highlighted several topics that can be clustered under the following categories: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking... Read More

Data movement is of paramount importance on today’s and future HPC systems. While vendors have proposed to mitigate the data movement bottleneck with intermediate tiers of memory and storage, not... Read More

Data orchestration in the presence of more complex memory and storage hierarchies as well as distributed e-infrastructures is an ongoing challenge. In this talk we consider different strategies for addressing... Read More

Today, developers lack tools that enable the development of complex workflows involving HPC simulation and modelling with data analytics (DA) and machine learning (ML). The COMPSs programming framework from BSC... Read More

Data locality on new and future generation platforms is expected to be of paramount importance for good performance. However, many applications in astrophysics are by nature multiphysics, involving multiple solvers... Read More

When combining traditional HPC and cloud resources for a single workflow, different cost metrics come into play. In many cases, moving data into a cloud may be inexpensive or free,... Read More

The goal of the talk is to overview and highlight the convergence between the datacenter and HPC domains. I overview emerging trends in data center computing and discuss how those... Read More

Participants in SOS24 highlighted several topics that can be clustered under the following categories: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking... Read More

New technical and organizational constructs promise to qualitatively change how the HPC community develops, delivers and deploys its software. Large-scale distributed collaboration enabled by platforms such as GitHub, GitLab and... Read More

Next-generation software for HPC systems provides a path for improved and more widespread access to HPC resources for scientists and other potential users of such systems.  It can also provide... Read More

We propose an innovative method for computational science for sustainable promotion of scientific discovery by supercomputers in the Exascale Era by combining (Simulation + Data + Learning (S+D+L)). In May... Read More

The DOE Exascale Computing Project (ECP) Software Technology focus area is developing an HPC software ecosystem that will enable the efficient and performant execution of exascale applications. Through the Extreme-scale... Read More

The value of HPC infrastructure is directly related to the productivity of the end-user. Key to this productivity is an ecosystem of user oriented software, namely scientific applications and workflows.... Read More

The ever-increasing computational capabilities and the applicability of HPC platforms to a growing number of problem domains comes the need to provide a wider range of system capabilities.  This includes... Read More

Participants in SOS24 highlighted several topics that can be clustered under the following categories: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking... Read More

Presenters in this session will share their insights and experiences on services offered in the public cloud ecosystems, including HPC, for experimental and observational sciences communities, specifically with ever increasing... Read More

Practitioners are asked to embrace Open Science, follow the FAIR principles and make sure their work is reproducible.  At the same time, the amount of data to be processed is... Read More

As the code complexity of HPC applications expands, development teams continually rely on detailed software operation workflows to enable automation of building and testing their application. HPC application development can... Read More

AiiDA is a workflow manager for computational science with a strong focus on provenance, performance and extensibility [1,2]. When executing a workflow, AiiDA records the provenance − calculations performed, codes... Read More

Migrate your High Performance Computing (HPC) workloads to AWS to accelerate your most complex engineering simulations and high-performance data analysis workloads. In this session, learn how new Amazon EC2 instances... Read More

As illustrated by IO500 benchmark in recent years HPC storage systems have considerably push the boundaries of performance. Not only from a quantitative standpoint with unprecedented throughput or capacity numbers... Read More

Participants in SOS24 highlighted several topics that can be clustered under the following categories: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking... Read More

It is well recognized that AI has made significant strides in science discovery with examples such as data analysis with drug design, predictive modeling with earth systems, and intelligent control... Read More

For Science and AI, like young couples everywhere, there is  much potential, but this young couple needs a bit of help to grow and evolve. There potential for scientific advancement lies... Read More

The role of data in modern science is exploding due to the proliferation of high-throughput instruments and distributed sensors, as well as massive amounts of simulated data. Machine learning methods... Read More

I will give a brief overview of the recent marriage of AI and the Scientific Method and offer some unsolicited advice to the partners,  their in-laws and their extended families.... Read More

Artificial Intelligence (AI) has made a significant impact on scientific discovery, facilitating innovation across a variety of sectors including healthcare, finance, and commerce. However, achieving important scientific breakthroughs necessitates strong... Read More

The mOS multi-kernel at Intel Corp. was initially designed to support traditional supercomputing workloads and provide them with the performance, deterministic behavior, and scalability of lightweight kernels but, in a... Read More

Participants in SOS24 highlighted several topics that can be clustered under the following categories: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking... Read More

With the end of Dennard Scaling and the apparent end of Moore’s Law, we are presented with an opportunity to think differently about computation. Many non-Von Neumann approaches, including neuromorphic,... Read More

A variety of new computing technologies are emerging as paths into the future of computing beyond exascale and beyond the end of Moore’s law. One of those technologies is neuromorphic... Read More

I will provide an introduction to the general concepts of quantum computation and a brief discussion of its strengths and weaknesses from a high-performance computing perspective. The talk is tailored... Read More

Exponential increases in tooling costs for complementary metal-oxide-semiconductor (CMOS)/von Neumann architectures have motivated multi-scale codesign simulations to find new opportunities. To this end, we propose atomic precision advanced manufacturing (APAM)... Read More

With the slowing of Moore’s Law, the end of Dennard Scaling, and the apparent stalling of increases in instruction level parallelism in modern superscalar, out-of-order computer architectures, one would be... Read More

Ronald completed a one year sabbatical at CSCS Hönggerberg at the end of 2019. The objective was to develop a domain specific Accelerator architecture and implementation for weather and climate... Read More

Wrap Up & Reflections