2024_05_12_ISC High Performance 2024

Hamburg / May 12, 2024 - May 16, 2024

ISC High Performance 2024

Trade Fair for High-Performance Computing, Machine Learning (ML), Data Analysis and Quantum Computing

Webseite ISC High Performance 2024

Booth L40

ISC High Performance (until 2015 International Supercomputing Conference or ISC) is an international conference and exhibition that fosters the growth of a global high-performance computing community of technology providers and users.

The annual forum brings together experts from research, business and industry to share visions, ideas and knowledge in the four main areas of the event: High Performance Computing (HPC), Machine Learning (ML), Data Analytics and Quantum Computing.

Among others, our experts Dr. Jens Krüger and Dr. Mirko Rahn, members of the division heads and Dr. Daniel Grünewald, Dr. Franz-Josef Pfreundt, Dr. Arcesio Castaneda Medina, Christian Ortiz and Dominik Loroch of the »High Performance Computing« division will represent the Fraunhofer ITWM on site.

They can be found at our joint booth L40 with ThinkpaQ with the topics »GaspiLS«, »GPI«, »GPI Space«, »GaspiCxx«, »NASE«, »STX-Prozessor«, »Quantum Computing/ Quantum Chemistry«, »CARME« and »STYX«.

In addition, the promising artist Gesche Karnik will be creating several works of art live at our stand during the fair and will be available for discussions with ISC visitors.

CARME – Open-Source Multi-User Softwarestack

With the open source multi-user software stack CARME, several users can manage the available resources of a computing cluster. Our software combines machine learning with high-performance (HPC) clusters: the integration of interactive cluster usage gives users the opportunity to use familiar data analysis tools on a complex HPC cluster.

More information about CARME can be found here.

© iStockphoto / Fraunhofer ITWM
Carme Deep Learning

GaspiLS - Scalable Solver for CFD and FEM Simulations

© freepik / iStockphoto / Fraunhofer ITWM
GaspiLS Keyvisual

GaspiLS is our scalable iterative solver library, which has already proven itself in industrial companies in times of exascale computing. Many simulations in engineering are based on computational fluid dynamics and finite element methods (CFD and FEM methods), for example the determination of aerodynamic properties of aircraft or the analysis of building statics. To gain faster insights from these simulations, we have developed the linear iterative solver library GaspiLS.

More information about GaspiLS can be found here.

NASE – Suchmaschine für neuronale Architektur

The NASE (Neural Architecture Search Engine) at FraunhoferITWM is a powerful AI tool designed to optimize NeuralNetwork models towards the underlying hardware – e.g. AIaccelerators, customs AISCs and FPGAs. This serviceautomates the process of finding efficient AI models tailoredto specific performance needs such as speed, latency andpower consumption. By incorporating unique hardwarecharacteristics into model design, NASE ensures that eachneural architecture is both optimal and custom-fitted to theuser's requirements. This solution leverages advancedalgorithms and extensive computing resources to deliverready-to-use, efficient neural networks for real-worldapplications.

More information about NASE can be found here.

STX – Stencil- und Tensor Beschleuniger

© iStockphoto
Stencil- und Tensor Beschleuniger (STX) – Energieeffiziente Supercomputersysteme:. Im Mittelpunkt steht ein konsequenter Ansatz zu einem Hardware-Software-Co-Design

This year, the Fraunhofer ITWM booth will feature the STXProcessor card, showcasing the PCIe 5 Board equipped withfour STX chiplets. These chiplets excel in bandwidth-limitedapplications, particularly with stencil algorithms.

The system offers developers a user-friendly programminginterface through a C++ and OpenMP layer, efficientlymasking the underlying complexity. Our compiler team hassuccessfully optimized this setup to deliver peak performanceacross various simulation kernels, streamlining developmentand enhancing computational efficiency.

More information about STX-Processors can be found here.

GaspiCxx

GaspiCxx is a programming interface for the C++ programming language developed for the GPI-2 communication library.

Styx – GPU-Cluster

With the high-performance GPU cluster »Styx«, we offer a cluster that focuses on the effective use and seamless integration of new types of accelerator cards into the user's workflow.