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 booth L40 with the topics »GaspiLS«, »GPI«, »GPI Space«, »GaspiCxx«, »NASE«, »Quantum Computing/ Quantum Chemistry«, »CARME« and »STYX«.

GaspiLS - Scalable Solver for CFD and FEM Simulations

© freepik / iStockphoto / Fraunhofer ITWM
GaspiLS Keyvisual

GaspiLS is our scalable linear 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.

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

GPI – Global Adress Space Programing Interface

The Global Address Space Programming Interface (GPI) is an asynchronous communication model. Each processor can access all data directly at will – regardless of which memory it is stored in and without affecting other processes running in parallel. It therefore provides a crucial building block for realizing the next supercomputers. The Global Address Space Programming Interface is not developed as a parallel programming language, but as a parallel programming interface that is used universally.

More information about GPI 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.

NASE

NASE is an AI service that enables multidimensional optimization of neural network architectures and supports you in the design and integration of an optimal, individual neural network.