{"id":1675,"date":"2021-07-01T11:27:36","date_gmt":"2021-07-01T10:27:36","guid":{"rendered":"http:\/\/datacyper.com\/?p=1675"},"modified":"2021-07-08T10:07:06","modified_gmt":"2021-07-08T09:07:06","slug":"understanding-parallel-computing-and-distributed-computing","status":"publish","type":"post","link":"https:\/\/datacyper.com\/understanding-parallel-computing-and-distributed-computing\/","title":{"rendered":"Understanding Parallel Computing and Distributed Computing"},"content":{"rendered":"\n<p>Firstly, in Parallel Computing, multiple processors communicate with each other using a shared memory. Secondly, in distributed computing, multiple processors are in connection by a communication network. Let us take a look at both of them in brief.<\/p>\n\n\n\n<p>Certainly, in this computing system, multiple processors perform tasks simultaneously. Moreover, memory is share and it provides concurrency and saves time and money.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized is-style-default\"><img decoding=\"async\" src=\"https:\/\/datacyper.com\/wp-content\/uploads\/2021\/07\/cloud-3406627_640.jpg\" alt=\"Parallel Computing\" class=\"wp-image-1676\" width=\"330\" srcset=\"https:\/\/datacyper.com\/wp-content\/uploads\/2021\/07\/cloud-3406627_640.jpg 640w, https:\/\/datacyper.com\/wp-content\/uploads\/2021\/07\/cloud-3406627_640-300x200.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<p>In this computing, we break down problems into instructions and solve concurrently. In addition, following are the advantages of parallel systems:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Advantages of Parallel Computing<\/h3>\n\n\n\n<ul><li>Firstly, it saves time and money. As resources works simultaneously, it reduces time.<\/li><li>Secondly, in serial computing larger problems become impractical to solve. Parallel helps in solving it easily.<\/li><li>Thirdly, It can also take advantage of non local resource when local ones are finite.<\/li><li>It makes good use of potential computing power .<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Types of Parallelism<\/h3>\n\n\n\n<ul><li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Bit-level_parallelism#:~:text=Bit%2Dlevel%20parallelism%20is%20a,on%20increasing%20processor%20word%20size.&amp;text=The%20processor%20must%20first%20add,to%20complete%20a%20single%20operation.\">Bit level parallelism<\/a><\/li><li>Instruction level parallelism<\/li><li>Task parallelism<\/li><li>Data level parallelism<\/li><\/ul>\n\n\n\n<p>Bit level parallelism is based on the increasing processor size. Moreover, it reduces number of instruction.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why we need Parallel Computing?<\/h3>\n\n\n\n<ul><li>To manage large data<\/li><li>For dynamic simulation and modeling<\/li><li>Saves time and money<\/li><li>Efficient utilization of resources.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Distributed Computing<\/h3>\n\n\n\n<p>Firstly, this system can run on various operating systems and can use various communications protocols. Moreover, &nbsp;can run on hardware that is provided by many vendors. &nbsp;A distributed system can consist of any number of possible configurations, such as mainframes, personal computers.<\/p>\n\n\n\n<p>The distributed data storage is done in following manner:<\/p>\n\n\n\n<ul><li>Data Replication<\/li><li>Data Fragmentation<\/li><\/ul>\n\n\n\n<p>In data replication, data is redundantly stored at two or more sites. Hence, it maintains copies of data. Moreover, this will increase the availability of data at different sites.<\/p>\n\n\n\n<p>In data fragmentation, data gets divided into smaller parts. This offers consistency. Fragmentation is possible in two ways, one is horizontal fragmentation and vertical fragmentation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Difference<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong><em><span class=\"has-inline-color has-vivid-red-color\">Parallel Computing<\/span><\/em><\/strong><\/td><td><strong><em><span class=\"has-inline-color has-vivid-red-color\">Distributed Computing<\/span><\/em><\/strong><\/td><\/tr><tr><td>Operations are done simultaneously.<\/td><td>System components are available at different locations.<\/td><\/tr><tr><td>Single computer<\/td><td>Multiple computer<\/td><\/tr><tr><td>Improves system performance<\/td><td>Improves system scalability<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>In conclusion, we have learnt that in Parallel Computing, multiple processors communicate with each other using a shared memory. Firstly, it saves time and money. Parallel helps in solving complex problems easily.As resources works simultaneously, it reduces time.<\/p>\n\n\n\n<p>Types of parallelism include bit level, instruction level, data level and task parallelism.<\/p>\n\n\n\n<p>Moreover, in distributed computing, multiple processors are in connection by a communication network. The distributed data storage is done using data replication and data fragmentation. It improves system scalability.<\/p>\n\n\n\n<p>We have learnt some of its advantages, its significance. Lastly, we have seen the difference between parallel computing and distributed computing. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Firstly, in Parallel Computing, multiple processors communicate with each other using a shared memory. Secondly, in distributed computing, multiple processors are in connection by a communication network. Let us take a look at both of them in brief. Certainly, in this computing system, multiple processors perform tasks simultaneously. Moreover, memory is share and it provides [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":1676,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[453],"tags":[611,608,560,610,559,605,609],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding Parallel Computing and Distributed Computing - Datacyper<\/title>\n<meta name=\"description\" content=\"In Parallel Computing, multiple processors communicate with each other using a shared memory. 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