Personal supercomputer's theme is one that has captured the attention of many people around the world. With its relevance in modern society, Personal supercomputer has been the subject of debates, discussions and research. From its impact on daily life to its influence on culture and politics, Personal supercomputer has proven to be a topic of great interest and diversity. As opinions and perspectives on Personal supercomputer continue to evolve, it is important to explore and understand all facets of this topic in order to form an informed opinion. In this article, we will dive into the world of Personal supercomputer to examine its different aspects and discover its importance in today's world.
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A personal supercomputer (PSC) is a marketing ploy used by computer manufacturers for high-performance computer systems and was a popular term in the mid 2000s to early 2010s. There is no exact definition for what a personal supercomputer is. Many systems have had that label put on them like the Cray CX1 and the Apple Power Mac G4. Generally, though the label is used on computers that are high end workstations and servers and have multiple processors and is small enough to fit on a desk or to the side. Other terms like PSC are Desktop/deskside supercomputers and supercomputers in a box.
This is the closest thing to a formal definition of a personal supercomputer as most Computers marketed as personal supercomputers are Deskside clusters like the Cray CX1. A Deskside cluster is as defined by insideHPC.com “Deskside clusters come in a chassis that you can plug into the wall of your office, and they are designed to sit on the floor next to your desk. The chassis can hold a relatively small number of computers that are on blades, trays, or in enclosures that slide into the chassis and bundle everything together.” The Blade or node are equipped with CPU/s and RAM also it may be equipped with GPU/s so that it may be used for CAD or for computation and the blade may have bays for hard drives built in.
They can be used in medical applications for processing brain and body scans, resulting in faster diagnosis. Another application is persistent aerial surveillance where large amounts of video data need to be processed and stored. Also they are used in AI for deep learning and machine learning. One more use is in the field of data analysis which requires large amounts of computational power.
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