The SOS24
Virtual Conference
10 - 25 March 2021
Will HPC Survive the Cloud, and in What Form?
SOS24 Workshop Theme
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The theme of SOS24 is Will HPC Survive the Cloud and in What Form?
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About SOS Workshops

SOS is an invitation-only series of highly interactive workshops on Distributed Supercomputing organized by Sandia National Laboratories, Oak Ridge National Laboratories and the Swiss National Supercomputing Centre.

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What we will discuss

Participants in the SOS Workshops have been key players in remarkable changes in High Performance Computing over the past two plus decades, and this 24th annual workshop will provide an opportunity to look toward the future. The workshop theme this year will be “Will HPC Survive the Cloud, and in What Form?”.

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Hosting organization

The 24th SOS Workshop will be hosted by the Swiss National Supercomputing Centre (CSCS).

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The program is intended in Central European Timezone (CET)

Program (CET)

Day 1
10 Mar 2021
Day 2
11 Mar 2021
Day 3
15 Mar 2021
Day 4
17 Mar 2021
Day 5
18 Mar 2021
Day 6
24 Mar 2021
Day 7
25 Mar 2021

Welcome to Session I: Science and Application drivers for Cloud and Edge Computing

Scientific problems driving cloud and edge computing use a number of techniques such as filtering, combinatorial optimization, agent-based modelling, massive data analysis, embarassignly parallel simulations or machine learning. The sheer...
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Marie-Christine Sawley

Cloud and/or HPC in the 2020s: Risks, Opportunities and the SKA Project

The Square Kilometre Array (SKA) Project will shortly embark on the construction of the World’s largest radio astronomy observatory with locations on three continents. The SKA is, among other things,...
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Miles Deegan, SKA Organisation

Edge-to-End Workflows in Natural Hazards

Several natural disasters (e.g. earthquakes, volcanic eruptions, landslides or tsunamis) are hard to predict and pose a serious threat to human lives and property. Prompt reaction to these scenarios requires...
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Arnau Folch, BSC

Artificial Intelligence – a Real Business Driver? What is Needed?

Artificial Intelligence (AI) is on everyone’s lips. Nearly every country has launched an AI action plan and undertaken activities for the adoption of AI, from research through to deployment. Almost...
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Thomas Hahn, Siemens

Sparse data and irregular problems in scientific applications

The dominant paradigm in scientific computation is built around “dense” data, which is assumed to be highly regular and well behaved. We explore the tensions with this ideal situation, by looking at several sparsity generating mechanisms,...
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Michel Speiser, ICES

Common Challenges Integrating HPC and Cloud Resources in HEP Computing

High energy physics is facing an unprecedented computing challenge in preparation for the next phase of the large hadron collider (LHC). The event complexity and data collecLon rate will both...
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Maria Girone, CERN

Are Science Needs or Business Desires Driving the Growth of Cloud?

There is clear growth in the use of cloud computing for HPC and similar workloads. This talk will explore the reasons behind that growth, including science needs, business desires, and...
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Andrew Jones, Microsoft
17:10 - 17:30


Networking Session

Participants in SOS24 highlighted the following topics as potential themes for discussion: Technology – hardware, algorithms, etc. Resource management – workflows, facility issues Applications and data About networking tool: SpatialChat...
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Welcome to Session II: Wrestling with Data

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...
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John Turner, ORNL

Towards Effective Multi-Scale Coupled Urban Systems

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...
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Jibo Sanyal, ORNL

Massive Storage with Tape-Based Technology for Cloud Environments

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...
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Robert Haas, IBM Research


Nicolas Dube, HPE
18:10 - 18:30


Welcome to Session III: Exascale Data Movement Orchestration in Cloudy HPC Era

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...
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Francois Tessier, INRIA

Orchestrating Data at System Level and Beyond

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...
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Dirk Pleiter, JSC

Dynamic Workflows in the Exascale Era

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...
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Daniele Lezzi, BSC

Orchestrating Data Movement and Computation for a Multiphysics Application at Scale

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...
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Anshu Dubey, ANL

Managing the High Cost of Data Movement Through Rich Metadata

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,...
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Jay Lofstead, SNL
17:10 - 17:30


Welcome to Session IV: Toward Effective and Efficient Next-Generation HPC Software Ecosystems

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...
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Mike Heroux, SNL

Infrastructure and Support for Building and Using Next-Generation Software on HPC Systems

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...
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Larry Kaplan, HPE

h3-Open-BDEC: Innovative Software Platform for Scientific Computing in the Exascale Era

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...
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Kengo Nakajima, RIKEN

E4S: Extreme-Scale Scientific Software Stack

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...
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Sameer Shende, University of Oregon

Software Engineering Towards Exascale: Domain Specific Libraries, Communication Optimality, and Machine Learning

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....
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Joost VandeVondele, CSCS

Next-Generation SW/HW Ecosystem: Network Offload

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...
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Richard Graham, NVIDIA
18:10 - 18:30


Welcome to Session V: HPC and/or Cloud for Data Driven Workflows

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...
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Sadaf Alam, CSCS

Containers and the Truth of HPC & Cloud System Software Convergence

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...
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Andrew Younge, SNL

The AiiDA Ecosystem for Materials Modelling – Managing Workflows on HPC Systems from the Cloud

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...
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Leopold Talirz, EPFL

HPC in the Cloud: Flexible Configurations; Faster Results

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...
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Ian Colle, Amazon
17:10 - 17:30


Welcome to Session VI: AI and Science: A Marriage Made in …

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...
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Valerie Taylor, ANL

Science and AI: A Young Couple with Much Potential, But Needs a Bit of Help

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...
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Wes Bethel, LBNL


Francis Alexander, BNL

Recent Advances in Using mOS for ML Workloads

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...
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Rolf Riesen, Intel
18:10 - 18:30


Welcome to Session VII: Advances in non-von Neumann Architectures

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,...
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Barney Maccabe, ORNL

The Future of Neuromorphic Computing for HPC and Beyond

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...
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Katie Schuman, ORNL

An HPC Systems Guy’s View of Quantum Computing

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...
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Torsten Hoefler, ETH Zurich

Digital Electronics at the Atomic Limit

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)...
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Evan Anderson, SNL

There’s Life in the Old Dog Yet: How Advances in von Neumann Architectures Still Have a Lot to Give

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...
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Simon McIntosh-Smith, University of Bristol

Results from ETH Sabbatical: Architecture of a Weather and Climate Accelerator

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...
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Ronald Luijten, Data Motion Architecture & Services GmbH

Crystal Ball

Wrap Up & Reflections
Robert Hoekstra, SNL
Jeff Nichols, ORNL
Thomas Schulthess, CSCS

Invitation to SOS25

Ron Brightwell, SNL


We would like to acknowledge our sponsors for their generous support of the SOS24 Workshop.