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Supercomputers have been at the forefront of computing research and development for a long time. From playing a key role in breakthroughs such as the moon landing, to the latest breakthroughs in artificial intelligence and machine learning, they have been instrumental in scientific progress. That’s why AMD’s virtual tour of Europe’s Hawk supercomputer is so fascinating.

AMD Virtual Tour of Europe’s Hawk Supercomputer

A picture of a datacenter filled with various racks and drawers, each containing a supercomputer's hardware

This virtual tour takes us inside one of the world’s largest and most advanced supercomputers, located in the University of Edinburgh. AMD designed the system with a cutting-edge hardware and software stack, and the result is a system that has already had a major impact on the research world. In the virtual tour, you can explore the powerful hardware behind the system, a massive 2,048-core AMD Epyc processor plus 4TB of RAM.

Chapter 8

A picture of a data processing cycle, divided into data input, data output, and data validation and transformation

The concept of data processing cycle is essential for creating and managing information systems. It’s a process that takes data from the outside world, reformats it into a form that can be used by the system, and then returns it to the user. It’s the core of an effective information system, and it’s important to understand the stages of the cycle.

The first step of a data processing cycle is obtaining data inputs. This might include web form submissions, manual input, or other sources. After the data is in the system, it needs to be validated and transformed into a usable format. This could involve things like removing duplicate records or transforming images into a format that can be stored in the database.

Once the data is in the right format, it’s ready to be processed. This could involve running calculations, sorting or filtering the data, or processing it in any number of ways. Once the processing is complete, the data is prepared for output, meaning it’s sent back to the user in a readable format.

Understanding the data processing cycle is critical for developing effective information systems. Without it, systems can’t process data effectively, leading to low accuracy and poor performance. By understanding each stage of the cycle, developers can create systems that are fast, reliable, and accurate.

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