How to double the speed of your computer without spending a lot of money

In a recent development in the field of computer engineering, Hongwei Tseng, a professor at the University of California, Riverside (UC Riverside), has presented a new approach that aims to transform the rules of the game in data processing and use. Of computing devices.

This advancement focuses on improving the integration of the different processing units in a computer. Such as graphics processing systems (GPU), hardware accelerators for artificial intelligence (AI), machine learning (ML), and digital signal processing units.

The potential of this innovative approach, called SHMT (Heterogeneous Simultaneous Multi-Threading), It allows the mentioned components to work simultaneouslynot only improving hardware processing performance but also greatly reducing power consumption.

The methodology, co-developed by Tseng and Kuan-Chih Hsu, a UCLA computer science graduate student, has shown significant results in preliminary tests. Achieve up to 1.96 times processing speed and reduce power consumption by up to 51%.

In less technical terms and more relevant to the average user, this means that the functionality of a computer, whether located in the office or at home, It will be greatly improved, making it unnecessary to change equipment so quickly.

Likewise, in terms of saving, which is another cause of concern for many families and users, this new platform, which combines several components into one, It reduces energy consumption by more than half, which is a positive aspect of the monthly payment and lower cost of living.

Another aspect that makes this project different is that it proposes that improvement in the performance of computing devices does not necessarily depend on adding new processors, but on more efficient use of existing components.

Not only does this turn out to be a more economical and accessible option, but it also has positive impacts on the environment.This is because optimal use of energy contributes to reducing the carbon footprint associated with maintaining large data centers.

next to, The decrease in energy consumption means a decrease in demand for fresh waterWhich is mainly used in the cooling systems of these centers. In this way, the research not only addresses computing performance issues, but also takes into account economic and environmental factors.

This strategy was announced at the 56th Annual IEEE/ACM International Symposium on Microarchitecture held in Toronto, Canada.

Despite promising initial results The research team highlighted the need for further study to fully understand the feasibility and challenges of implementing SHMT and its scope.

Factors such as necessary hardware modifications and code optimization are areas that require additional attention to determine what types of applications and processes can benefit most from this approach.

The recognition of Zeng's research by the Institute of Electrical and Electronics Engineers (IEEE), through the selection of his article as one of the highlights in the upcoming edition of the “Top Picks from Computer Architecture Conferences,” reinforces the potential impact of this study in the field of computer engineering.

This research aims to pioneer a new way in which data is processed and computing devices are used, in addition to serving as a role model in the search for solutions that balance technological performance with environmental and economic responsibility.