Vortrag: SD Intel 1.1
Zeit:  09:30 - 10:30

We will show you how Intel's oneAPI AI Analytics Toolkit and distributed hardware architecture made such a feat possible.

Vortrag: SD Intel 1.2
Zeit:  10:45 - 11:45

See by yourself how OpenVINO makes rolling out optimized Deep Learning Inference projects at the Edge on any platform fast and easy. Try it by yourself after this live demo on the Intel DevCloud for the Edge.

Vortrag: SD Intel 1.3
Zeit:  13:15 - 14:15

From "Hello World" to offloading on high-performance devices, with an overview of SYCL and OpenMP 5.

Vortrag: SD Intel 1.4
Zeit:  14:30 - 15:30

See how data intense applications can be migrated from CUDA to Data Parallel C++ without the hard work using the new Compatibility tool in Intel oneAPI.

For this keynote, Intel Software and TNG Technology Consulting go on a journey to some amazing innovations in Artificial Intelligence. Starting with the concept of Intel® oneAPI and introducing software development tools enabling a multi-architecture future, the keynote will travel in real-time to the AI Labs of TNG in Munich where Thomas Endres, Martin Förtsch and Jonas Mayer will take the audience on an exciting Live Innovation Hacking Tour showcasing the latest capabilities of AI at the edge.

Over the history of software systems, the way we build such artifacts, the way we design them, the way we express them have evolved in seemingly disruptive ways. Even today, the pendulum swings between low ceremony agile methods to more rigid waterfall-ish ones; from big balls of mud to microservices and then back to big balls of microservices. In this talk, we'll examine the past, the present, and the future of software architecture: the role it plays in software systems, and the timeless fundamentals that remain across the fullness of time.

Vortrag: WS Intel 1.1
Zeit:  09:30 - 11:00

The Intel® oneAPI Base Toolkit is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. It features an industry-leading C++ compiler and the Data Parallel C++ (DPC++) language, an evolution of C++ for heterogeneous computing.In this session we show how  write and run C++ and DPC++ code, with an emphasis on the practical aspects of using the oneAPI toolkits. Included in the session are examples of how to use the Intel® DevCloud, a free development sandbox with access to the latest hardware from Intel and Intel oneAPI software. We show how to build run and profile a number of oneAPI applications using the latest tools from Intel.

Vortrag: WS Intel 1.2
Zeit:  11:15 - 12:45

The Intel® AI Analytics Toolkit, which is powered by oneAPI technology, gives
data scientists, AI developers, and researchers familiar Python tools and
frameworks to accelerate end-to-end data science and analytics pipelines on
Intel® architectures.

In this session we show how to harness the power of the Intel AI Analytics
Toolkit, including the Intel optimised version of Python and Tensorflow by
using them in a biomedical image segmentation project. Finally, we demonstrate
data parallel training using TensorFlow and Horovod which can be used for
large scale training of deep neural networks across multiple compute nodes.

Is solid application architecture running on the cloud enough to succeed on your Cloud-Native journey? What are other important aspects of Cloud-Native initiative that are often been overlooked and play an equally important role in your Digital Transformation Journey? Join us to learn more about how to put it all together and how developers can work better with business and operations. We will go over end to end story, from an idea to a running code in production, and cover how you can improve time to market, stability, scalability, security, and savings.

In this talk, you'll find out what Conway's law is and how it relates to both organizational and software architecture. You'll also learn how to get started with software that scales and then do an inverse Conway to get an organizational structure that scales with it. The talk will use the Kubernetes project as a concrete example.

Sustainability is often defined as the interconnection of: social connection, economic wellbeing, and a healthy environment. The recent corona pandemic has yet again highlighted the potential as well as the necessity of a fundamental technology: the internet. However, to be sustainable, the internet also needs to assess, mitigate, and live up to its responsibilities for a healthy environment – an element of the equation that is too often neglected. What is the internet’s environmental impact and what would it take for it to be sustainable?

Extended Abstract:
Sustainability is often defined as the interconnection of three elements: social connection, economic wellbeing, and a healthy environment. The recent corona pandemic has yet again highlighted the potential as well as the necessity of a fundamental technology: the internet. The internet has become the lifeline for social connection in times of physical distancing. It is also the primary means by which to still conduct business for those of us that are not on the essential frontlines, in terms of working remotely, providing online services, and monetization, hence being a critical vehicle to safeguard some economic wellbeing. However, to be sustainable, the internet also needs to assess, mitigate, and live up to its responsibilities for a healthy environment – an element of the equation that is too often neglected. What is the internet’s environmental impact and what would it take for it to be sustainable?

As companies have moved their workloads to the cloud, we've seen a growth in the use of cloud-native architectures, particularly microservices. Microservice-based architectures help improve scalability and velocity but implementing them can pose challenges. In this session, you will learn how Spring Cloud helps you mitigate these!