{"id":5128,"date":"2023-01-28T11:16:13","date_gmt":"2023-01-28T11:16:13","guid":{"rendered":"https:\/\/www.tutorsindia.com\/blog\/?p=5128"},"modified":"2024-11-25T06:13:44","modified_gmt":"2024-11-25T06:13:44","slug":"benefits-of-parallel-computing-in-real-time-applications","status":"publish","type":"post","link":"https:\/\/www.tutorsindia.com\/blog\/benefits-of-parallel-computing-in-real-time-applications\/","title":{"rendered":"BENEFITS OF PARALLEL COMPUTING IN REAL TIME APPLICATIONS"},"content":{"rendered":"<p><strong>Introduction\u00a0\u00a0<\/strong><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">Multiple computer processors are used in parallel computing to tackle various operations at once. Parallel architecture, as contrast to serial computing, can divide a task into its component components and multitask them. Modelling and simulating real-world phenomena is a good use for parallel computer systems.<\/span><\/p>\n<p><a href=\"https:\/\/www.tutorsindia.com\/our-services\/development\/\">Digital processes<\/a> would&#8217;ve been tedious to say the least without parallel computing. Each task would need far more time if your iPhone or laptop could only perform one action at once. Consider the smartphones from 2010 to gain an understanding of the speed (or lack thereof) of <span lang=\"EN-GB\">serial computing. Serial processors were used in both the iPhone 4 and Motorola Droid. On your phone, opening an email could take up to 30 seconds, which feels like an eternity in the here and now. <\/span><br \/>\n<span class=\"EOP SCXW50424789 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:480}\"> <img fetchpriority=\"high\" decoding=\"async\" class=\"size-medium wp-image-5129 aligncenter\" src=\"https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/parallel-computing-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/parallel-computing-300x300.jpg 300w, https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/parallel-computing-150x150.jpg 150w, https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/parallel-computing.jpg 500w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/span><\/p>\n<h2><strong><span lang=\"EN-GB\">Advantages of parallel computing<\/span><\/strong><\/h2>\n<p>The benefits of parallel computing include faster &#8220;<a href=\"https:\/\/www.tutorsindia.com\/our-services\/development\/big-data-analytics\/\">big data<\/a>&#8221; processing and more effective code execution, which can save time and money. By utilising greater resources, parallel <a href=\"https:\/\/www.tutorsindia.com\/our-services\/development\/programming\/\">programming<\/a> can also resolve more challenging issues. That is beneficial for applications ranging from enhancing solar power to altering the way the banking sector operates (Wang et al., 2019).<\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Modelling the Real World with Parallel Computing<\/span><\/strong><\/p>\n<p>Our circumstances are not dramatic. Events don&#8217;t take place sequentially, waiting for one to end before the next one begins. We need parallel computers to perform <a href=\"https:\/\/www.tutorsindia.com\/our-services\/masters-dissertation-writing-services\/dissertation-statistical-analysis\/\">data analysis<\/a> on data points related to the traffic, weather, finance, agriculture, industry, oceans, healthcare, and ice caps (Lepikhin et al., 2020).<\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Saves Time<\/span><\/strong><\/p>\n<p class=\"HSMXH2\"><span lang=\"EN-GB\">Fast processors must perform inefficiently due to serial computing. It&#8217;s like using a Ferrari to transport 20 oranges at a time from Maine to Boston. No of how quickly one automobile can go, doing so is less efficient than combining the deliveries into a single journey.<\/span><\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Saves Money<\/span><\/strong><\/p>\n<p>Parallel computing reduces costs by speeding up processes. On a small scale, the benefits of resource use that is more efficient might not seem significant. However, when a system is scaled out to billions of operations\u2014like bank software, for example\u2014we observe enormous cost savings (Hockney &amp; Jesshope, 2019).<\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Solve more difficult or substantial challenges<\/span><\/strong><\/p>\n<p>Technology is developing. A single web app may perform millions of transactions per second <a href=\"https:\/\/www.tutorsindia.com\/our-services\/development\/coding-and-algorithm\/\">using AI and big data<\/a>. Additionally, &#8220;grand problems&#8221; like protecting cyberspace or lowering the cost of solar energy will need for petaflops of computer power. Parallel computing will improve technological progress (Van de Ven &amp; Tolias, 2019).<\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Leverage Remote Resources<\/span><\/strong><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">Every day, people produce 2.5 quintillion bytes of data. The number 25 has 29 zeros after it. Those numbers are impossible for us to compute. Alternatively, is it possible? Numerous computers with multiple cores each can process many times more real-time data simultaneously than a single serial computer can by using parallel processing.<\/span><\/p>\n<h2 class=\"HSMXP1J15\"><strong><span lang=\"EN-GB\">Examples of parallel computing<\/span><\/strong><\/h2>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">The fact is that parallel computers have existed since the early 1960s, even though you may be reading this article on one. They are as compact as the low-cost Raspberry Pi and as durable as the Summit supercomputer, which is the most potent machine in the world. Several illustrations of how parallel processing powers our environment is provided below.<\/span><\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Smartphones<\/span><\/strong><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">The dual-core processor in the iPhone 5 runs at 1.5 GHz. the six cores in the iPhone 11 Eight cores make up the Samsung Galaxy Note 10. All these smartphones are instances of parallel processing.<\/span><\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Laptops and Desktops<\/span><\/strong><\/p>\n<p>Parallel computing is exemplified by the Intel\u00ae processors that run the majority of contemporary computers. The HP Spectre Folio and HP EliteBook x360&#8217;s Intel CoreTM i5 and Core i7 CPUs each have four processing cores. The HP Z8, the most efficient computer in the market, has 56 cores of processing capability, enabling it to do intricate 3D simulations or execute real-time video editing in 8K footage (Meniailov et al., 2020).<\/p>\n<p class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Bitcoin<\/span><\/strong><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">The blockchain technology used by Bitcoin makes use of several computers to validate transactions. In the future years, <a href=\"https:\/\/www.tutorsindia.com\/blog\/how-do-you-get-hd-grades-in-a-bitcoin-and-cryptocurrency-assignment\/\">blockchain<\/a> will be used for practically all financial transactions. Without parallel processing, Bitcoin and the blockchain cannot function. The &#8220;chain&#8221; component of blockchain would disappear in a future of serial computing.<\/span><\/p>\n<h2 class=\"HSMXH2\"><strong><span lang=\"EN-GB\">The Internet of Things (IOT)<\/span><\/strong><\/h2>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">The floodgates are open for our everyday data flow with 20 billion gadgets and more than 50 billion sensors. Traditional computing is unable to keep up with the flood of real-time telemetry data coming from the <a href=\"https:\/\/www.tutorsindia.com\/our-sample-works\/developing-iot-applications-challenges-and-frameworks\/\">IoT<\/a>, which includes data from soil sensors, smart automobiles, drones, and pressure sensors.<\/span><\/p>\n<h2 class=\"HSMXH2\"><strong><span lang=\"EN-GB\">Parallel Computing Toolbox<\/span><\/strong><\/h2>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">Programmers can maximise the performance of multi-core devices with the help of MathWorks&#8217; Parallel Computing Toolbox. Users of the Matlab Toolbox can handle big data jobs that are too complex for a single processor to accomplish.<\/span><\/p>\n<p>Also, when considering parallel computing, <a href=\"https:\/\/www.tutorsindia.com\/our-sample-works\/parallel-computing-in-image-processing\/\">image processing<\/a> is developing more in the coming years. Image processing is the process of enhancing an image and obtaining important information from it. In many different applications, image processing is becoming more significant (Mochurad &amp; Shchur, 2021).<br \/>\n<img decoding=\"async\" class=\"alignnone size-medium wp-image-5130 aligncenter\" src=\"https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/example-parallel-computing-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/example-parallel-computing-300x300.jpg 300w, https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/example-parallel-computing-150x150.jpg 150w, https:\/\/www.tutorsindia.com\/blog\/wp-content\/uploads\/2023\/01\/example-parallel-computing.jpg 447w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<h2><strong><span lang=\"EN-GB\">What\u2019s next for parallel computing?<\/span><\/strong><\/h2>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">Even if it&#8217;s incredible, parallel computing may have reached the limit of what conventional processors can handle. Quantum computers have the potential to greatly improve parallel computations within the next ten years. <\/span><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">Parallel computing advances significantly with quantum computing. Consider serial computing as doing one thing at a time. An 8-core parallel computer can perform 8 tasks concurrently. More operations could be performed simultaneously by a 300-qubit quantum computer than there are atoms in the universe. <\/span><\/p>\n<p class=\"HSMXP1J15\"><span lang=\"EN-GB\">For any assistance related to your <a href=\"https:\/\/www.tutorsindia.com\/our-services\/masters-dissertation-writing-services\/\">Master dissertation writing<\/a>, kindly contact <a href=\"https:\/\/www.tutorsindia.com\/\">Tutors India<\/a> for the best service. We offer our full support for your master\u2019s project and an effective completion of your research.<\/span><\/p>\n<p class=\"HSMXP1J15\"><strong><span lang=\"EN-GB\">References<\/span><\/strong><\/p>\n<p>Hockney, R. W., &amp; Jesshope, C. R. (2019). <em>Parallel Computers 2<\/em>. <a href=\"https:\/\/doi.org\/10.1201\/9780367810672\">CRC Press.\u00a0<\/a><\/p>\n<p>Lepikhin, D., Lee, H., Xu, Y., Chen, D., Firat, O., Huang, Y., Krikun, M., Shazeer, N., &amp; Chen, Z. (2020). Gshard: Scaling giant models with conditional computation and automatic sharding. <a href=\"https:\/\/arxiv.org\/abs\/2006.16668\"><em>ArXiv Preprint ArXiv:2006.16668<\/em>.\u00a0<\/a><\/p>\n<p>Meniailov, I., Krivtsov, S., Ugryumov, M., Bazilevich, K., &amp; Trofymova, I. (2020). Application of parallel computing in robust optimization design. In <em>Integrated Computer Technologies in Mechanical Engineering<\/em> (pp. 514\u2013522). <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-37618-5_44\">Springer.\u00a0<\/a><\/p>\n<p>Mochurad, L., &amp; Shchur, G. (2021). Parallelization of Cryptographic Algorithm Based on Different Parallel Computing Technologies. <a href=\"http:\/\/ceur-ws.org\/Vol-2824\/paper3.pdf\"><em>IT&amp;AS<\/em>, 20\u201329.\u00a0<\/a><\/p>\n<p>Van de Ven, G. M., &amp; Tolias, A. S. (2019). Three scenarios for continual learning. <a href=\"https:\/\/arxiv.org\/abs\/1904.07734\"><em>ArXiv Preprint ArXiv:1904.07734<\/em>.\u00a0<\/a><\/p>\n<p>Wang, X., Feng, L., &amp; Zhao, H. (2019). Fast image encryption algorithm based on parallel computing system. <em>Information Sciences<\/em>,<a href=\"https:\/\/doi.org\/10.1016\/j.ins.2019.02.049\"> <em>486<\/em>, 340\u2013358.\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction\u00a0\u00a0 Multiple computer processors are used in parallel computing to tackle various operations at once. Parallel architecture, as contrast to serial computing, can divide a task into its component components and multitask them. Modelling and simulating real-world phenomena is a good use for parallel computer systems. Digital processes would&#8217;ve been tedious to say the least<br \/><a class=\"moretag\" href=\"https:\/\/www.tutorsindia.com\/blog\/benefits-of-parallel-computing-in-real-time-applications\/\">+ Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":5133,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[205],"tags":[],"class_list":["post-5128","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computer-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Parallel Computing in Real-Time Applications Explained<\/title>\n<meta name=\"description\" content=\"Writing a master thesis is a time-consuming activity that necessitates extensive study on the topic. 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