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13 May

Why You Need to Learn Parallel Computing

Computer processors are packing more and more cores each year. Distributed computing is also beginning to take off in the research and commercial sectors. Utilizing those extra cores and computing power is necessary to writing the most efficient, adaptable, and scalable software.

Multi-core processing

It is cheaper and more efficient for manufacturers to produce multi-core processors than to produce a single core with increased clock speed. Therefore, getting your code to run at its best on modern machines means using those cores. Winning products will efficiently use the CPU horsepower at their disposal. Products that lag will eventually be overtaken by competitors. Those who become proficient in concurrent programming will undoubtedly stand out in the job pool and create software that is built for the future.

Distributed Computing

Low-level CPU architectures not your thing? Distributed computing has been on the rise in the form of client-server, massively multiplayer online game servers, and peer-to-peer (P2P) networking. This form of parallel computing utilizes networks to achieve massive collective computing power from remote machines. Some amazing products are emerging that use these technologies. From P2P cloud storage to real-time document collaboration, the “next big thing” in software is likely to incorporate distributed computing in some way.

These are just a few technologies that use parallel computing that you should know about. Consider researching these and adding a new skill to your resumé or create the next product that defines a generation.

To learn more about how we use advancing technologies to meet your business needs, please contact us.

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