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Researchers from the University of California, Riverside in the United States have developed a new method that could potentially double the speed of a computer without any need for hardware upgrades. This innovative technique, known as Simultaneous and Heterogeneous Multithreading (SHMT), leverages the existing CPU, GPU, and TPU to perform general calculations, graphics tasks, and machine learning respectively.

Using SHMT, multiple subtasks are executed simultaneously in parallel, leading to increased efficiency and reduced energy consumption. This means that users can now upgrade their computer’s performance with a simple software update instead of going through the hassle of changing hard drives, RAM or processors.

ComputerHoy reports that the researchers have successfully tested this method and achieved impressive results by doubling the execution speed of a program while reducing energy consumption by 51%. This breakthrough technology has significant potential to be accessible to the public soon and could offer an affordable way to enhance a computer’s performance without needing expensive hardware upgrades.

In summary, SHMT is an innovative technique that utilizes existing hardware components to perform multiple subtasks simultaneously in parallel. It leads to increased efficiency and reduced energy consumption while also providing a cost-effective solution for enhancing a computer’s performance.

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