Agenda.
08:15 – 09:00 Registration
09:00 – 09:30 Welcome – New Era for HPCKP
I am thrilled to announce the inauguration of our new online forum and articles section on our HPC knowledge website. Our team has been working diligently to create a platform where experts in High-Performance Computing can come together and share their knowledge and ideas with the broader community.
The online forum will allow users to engage in discussions on a variety of topics related to HPC, including hardware and software optimization, parallel programming, and performance analysis. We hope this will facilitate the exchange of ideas and foster collaboration within the community.
Additionally, our new articles section will feature in-depth articles and tutorials on various HPC topics, written by experts in the field. These articles will provide valuable insights in areas like performance, efficiency, technology adoption, reliability, and end-user education.
We are excited to offer these new resources to the HPC community and look forward to seeing the exciting discussions and collaborations that will arise from them.
Jordi Blasco
CTO
HPCNow!
Quantum.
09:30 – 10:00 IBM Quantum roadmap and next developments
Quantum computing is creating a world of possibilities for new technologies. To better understand them, we will provide an in-depth analysis of the current state of IBM quantum, with a particular focus on its potential impact on several industries, including healthcare, finance, and transportation. It is important to understand also the future trends and how we will arrive there through an overview of the future of IBM Quantum technology and the HW and SW roadmap that will guide its development.
Albert García
Quantum Community Engineer Lead
IBM
10:00 – 10:30 Coffee break
10:30 Simplification of quantum circuits with toolchains from the Eviden Quantum Learning Machine (QLM) Quantum Simulator
Through the tools provided by the Eviden QLM quantum simulator, it is possible to rewrite circuits. This technique consists of automatically compressing sequences of consecutive one-qubit gates into a universal pattern. In this intervention, it will be detailed how this technique has been applied in a quantum circuit and how it has been possible to reduce the number of quantum gates of a qubit. In addition, the results obtained after the execution in different IBM backends will be shown and how the reliability of the circuit is improved. Everything from a single environment, that of QLM.
Andrés Bravo Montes
QLM Presales Quantum Engineer
Eviden
11:00 HPC in quantum era
This 2023, quantum computing is evolving faster than ever. Last year, Europe selected six sites to host the first European Quantum Computers, which will be added to other projects like the future quantum computers in CESGA, BSC and Ikerbasque. However, the quantum community is not waiting to have real quantum hardware before investigating new algorithms and solutions.
Quantum emulators can be used to start experimenting with quantum software. On a small scale, algorithms can be executed on a laptop, but complicated solutions will need the use of CUDA or MPI acceleration in an HPC environment. In this talk, we will focus on this last case.
Elisabeth Ortega
R&D&I Manager
HPCNow!
11:30 Qibo, a full-stack quantum computing framework
In this talk, Qilimanjaro will introduce its full-stack quantum computing framework, Qibo, putting a special focus on its novel approach to maximize the use of local computing resources (both quantum and classical) when executing quantum algorithms
Qibo is an open-source full stack API for quantum simulation and quantum hardware control with several contributors, including Qilimanjaro, who integrates it to its Quantum as a Service solution, including its own low-level control, named qililab.
We will present the newest design of qililab solution to run quantum algorithms for both gate-based and annealing quantum computers taking into consideration the interaction with classical hardware (multi-CPUs, multi-GPUs) and QPUs to ease the integration of our quantum solutions in HPC centers.
Albert Solana
Chief Business Officer
Qilimanjaro
12:00 Managing Complex Workflows Across Cloud Platforms with Covalent
Covalent is an open-source Pythonic tool designed to orchestrate heterogeneous HPC and quantum workflows, enabling computational research to be reproducible and manageable. By attaching metadata to workflows as they execute, Covalent provides users with a way to inspect everything from source code to data dependencies to software and environments in real time. With a browser-based user interface, users can easily visualize large and complex workflows distributed across multiple clouds, including AWS, Azure, and GCP Batch services.
In this talk, we will explore how Covalent can be used in multi-cloud and hybrid-cloud environments to enable seamless workflow management across various platforms. Specifically, we will discuss the benefits of using Covalent with AWS compute resources, as well as some of the challenges involved in joining cloud and on-prem HPC resources. I will also highlight the upcoming release of Covalent Cloud, a SaaS offering of Covalent which expands the tool’s capabilities and makes it accessible to a broader range of users.
William J. Cunningham
Head of High Performance Computing
Agnostiq
12:30 Panel discussion
13:00 – 14:00 Lunch break
Convergence of HPC/AI and Cloud.
14:00 Cloud and HPC Convergence: Flux for Job Management on Kubernetes
Adoption of cloud technologies by high performance computing (HPC) is accelerating, and HPC users want their applications to perform well everywhere. While container orchestration frameworks provide advantages like resiliency, elasticity, and declarative management, they are not designed to natively enable application performance to the same degree as HPC workload managers and schedulers. In this talk, we present our effort in promoting Cloud and HPC convergence, an effort that spans computing platforms and institutions. Specifically, we target Kubernetes platforms with the introduction of the Flux Operator and the Fluence plugin scheduler, both based on the Flux open-source HPC resource manager and job scheduler. We also describe the challenges we faced when shifting from traditional HPC to Kubernetes, and what it takes to run workflow natively on such platforms.
Claudia Misale
Researcher
IBM
Vanessa Sochat
Computer Scientist
LLNL
14:30 Cloud-Native Supercomputing: Exploring New Technologies for High-Performance Computing
As cloud-native technologies continue to advance, researchers and engineers in high-performance computing (HPC) are beginning to explore how these technologies can be used to build more scalable, reliable, and efficient supercomputers. In this talk, we will explore some of the latest technologies being used in cloud-native supercomputing, and discuss how they are being integrated into Kubernetes, the de facto standard for container orchestration.
One of the most exciting new technologies for cloud-native supercomputing is dynamic resource allocation (DRA), which has recently been merged into Kubernetes upstream. DRA allows users to dynamically allocate resources based on their application’s requirements, making it possible to optimize resource usage and reduce costs.
Another important technology is the container device interface (CDI), which provides a standardized way for containers to access devices like GPUs and FPGAs. CDI is critical for running high-performance computing workloads on cloud-native infrastructure, as it allows applications to take advantage of specialized hardware.
We will also discuss Kueue, a Kubernetes-native queuing controller that enables users to easily manage complex workloads with dependencies and priorities. Finally, we will provide updates on the MPI operator, which automates the deployment and scaling of MPI applications in Kubernetes clusters.
By leveraging these new technologies, cloud-native supercomputing promises to unlock new levels of scalability and efficiency for HPC workloads, making it possible to tackle even the most demanding scientific and engineering challenges.
Carlos Arango
Senior Systems software engineer
NVIDIA
15:00 Running Slurm cluster within Kubernetes environment
This talk will discuss the process of containerising and running a Slurm cluster within a Kubernetes environment. The discussion will primarily focus on the challenges encountered while building the container images and how to orchestrate them effectively. During the talk, we will also demonstrate how pods can be run as a complete operating system, including all necessary services. Additionally, we will might be able to benchmark results of running MPI (Message Passing Interface) jobs within this containerised environment.
Hussein Harake
HPC System Manager
CSCS
15:30 Container Technologies for HPC
Containers have been growing in popularity all across the information technologies landscape, including specialized infrastructures, like HPC, but the constraints of architecture, performance, and security make its adoption difficult. This presentation provides an overview of the current technologies in competition on HPC, from a technical as well as non-technical perspective, highlighting their differences and providing an assessment according to experiences extracted from real use cases.
Alberto García
HPC Architect
Do IT Now
16:00 – 17:00 Trip by bus to BSC
17:00 – 18:30 Visit to MareNostrum (2 groups) at Barcelona Supercomputing Center
18:30 – 21:00 Beers & Pizzas at AltaglioBcn
HPC Innovation.
09:00 Optimize the use of your IB NDR network
The new Infiniband NDR technology allow for bandwidths of up to 400 Gbps per host port. Although some applications use as much bandwidth as available, for many other these numbers are overkilling. We will present how to optimize your IB topology, leveraging Lenovo SharedIO concept for dense systems to allow up to 256 compute nodes in a single 1U IB switch.
Miguel Terol
Senior HPC Architect
Lenovo
09:30 HPC Infrastructure for Energy: Past, Present, and Beyond.
Petrobras is one of the world’s leading energy companies. As such, it relies heavily on high-performance computing (HPC) infrastructure for various workloads, ranging from seismic processing to reservoir simulation and, more recently, artificial intelligence. This presentation will provide an overview of Petrobras’ HPC infrastructure history, from its early beginnings in 1969 to the present day. During its early years, Petrobras employed a mix of mainframe computers, RISC machines, and Beowulf clusters to perform its computing tasks. Throughout the years, the company has upgraded its infrastructure, and today it operates several TOP500-ranked supercomputers, including the Pegasus and Dragão systems, which are currently ranked as the 33rd and 65th most powerful supercomputers in the world, respectively. We are already looking toward the future at Petrobras, and this presentation will provide insights into cutting-edge HPC architectures, such as cloud and quantum computing. The presentation will also explore how serverless computing infrastructures could push HPC boundaries for geoscience applications.
Felipe Albuquerque Portella
IT Advisor
Petrobras
10:00 HPC for a weather information company
Meteomatics is a Swiss company, global leader in weather intelligence. The main mission is to provide the most accurate weather data for any location at any time to improve our customers business.
Meteomatics data is delivered using the powerful weather API, combining massive amounts of data from external sources and also from the EURO1k, an in-house high-resolution European weather model for precise forecasts. In this talk, we will present the work done to deploy this
model in our on-premise high-performance cluster, the technical challenges experienced to efficiently manage an intense I/O workflow, future directions and we will compare the previous experiences of the company using a private cloud provider.
Kim Serradell
Senior Site Reliability Engineer
Meteomatics AG
10:30 – 11:00 Coffee break
11:30 Cornelis Omni-Path Express: The open-source software approach to High Performance Fabrics
As HPC and AI cluster architecture becomes increasingly heterogenous, Cornelis Networks have adopted the Open Fabrics Alliance (OFA) model for host software development to drive enhanced application performance and scalability.
This, coupled with a fully open-source software model, fully leverages development work done in the community.
Robert Bollig
HPC Solution Architect
Cornelis Network
12:00 Bridging the Gap: Introducing Fusion – A POSIX Distributed File System for Cloud-Native and On-Premises Storage
Fusion is a virtual, lightweight, distributed file system that bridges the gap between cloud-native storage and pipelines. Is used by Nextflow pipeline manager, a popular tool for developing and executing data-intensive pipelines.
It enables seamless filesystem I/O to object stores via a standard POSIX interface, resulting in simpler pipeline logic and faster, more efficient pipeline execution. But that’s not all. Fusion can also be used on-premises and coexist with traditional HPC parallel file systems, allowing for a seamless data management experience across hybrid and multi-cloud environments.
This talk proposal introduces Fusion as a versatile solution for managing data in hybrid and multi-cloud environments. It will delve into the technical aspects of Fusion, how it integrates with object stores, and its benefits in terms of performance and efficiency.
Jordi Deu-Pons
Senior Software/Data Engineer
Seqera Labs
12:30 Reducing the HPC Skills Gap with OpenFlightHPC
OpenFlightHPC is an open-source project focused on platform agnostic HPC cluster deployment and use. The project’s aim is to reduce the skills gap in building and using HPC systems for a range of different use cases. Initially developed to support construction of supercomputers on public-cloud platforms, OpenFlightHPC has since evolved into covering bare-metal hardware and private cloud deployments as well.
With the ability to handle jobs requiring low-latency fabrics, parallel filesystems, big-memory systems, and modern container-based AI and ML workloads, there is plenty of scope for building both agile, single-use and more complex feature-full environments. In this talk we will focus on our newest features designed for novice HPC user enablement and how, from template use-cases, they are able to step gently into the world of supercomputing, avoiding a steep learning curve.
Utilising a small demo cluster we will demonstrate how an individual can develop their skills, starting with the guidelines you can put into place, up to the user being able to confidently amend or reconfigure their environment. We will also discuss how to use OpenFlightHPC as a form of user empowerment, and how this project can aid in promoting self-improvement and help foster greater inclusivity in our industry.
Cristin Merritt
CMO
Alcesflight
13:00 – 14:00 Lunch break
14:00 DPU Offloading Programming with the OpenMP API
Data Processing Units (DPUs) are taking high-speed SmartNIC development further by integrating performant processing cores it. We are enabling BlueField DPU capabilities in the OpenMP programming model. The enablement of OpenMP Target Offload features for BlueField DPUs will contribute to accessibility to a wider range of users. It will be an opportunity for the HPC community to leverage DPU features for a wider range of existing and emerging applications
Muhammad Usman
Specialist Oracle Deployment
BSC
14:30 Panel discussion
15:00 – 15:10 Coffee break
EESSI workshop.
15:10 – 17:00 Streaming scientific software: an introduction to EESSI
Have you ever wished that all the scientific software you use was available on all the resources you had access to without having to go through the pain of getting them installed the way you want/need? The European Environment for Scientific Software Installations (EESSI – pronounced “easy”) is a common stack of scientific software installations for HPC systems and beyond, including laptops, personal workstations and cloud infrastructure. In many ways it works like a streaming service for scientific software, instantly giving you the software you need, when you need it, and compiled to work efficiently for the architecture you have access to.
In this tutorial, we’ll explain what EESSI is, how it is being designed, how to get access to it, and how to use it. We’ll give a number of demonstrations and also give access to a resource where you can try EESSI out for yourself.
Alan O’Cais
Research Fellow / Research software engineer
University of Barcelona / CECAM
