{"id":2856,"date":"2021-06-20T03:27:22","date_gmt":"2021-06-20T03:27:22","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/6152-parallel-processing-kl-diploma-syllabus-for-computer-hardware-6th-sem-2015-revision-sitttr\/"},"modified":"2021-06-20T03:27:22","modified_gmt":"2021-06-20T03:27:22","slug":"6152-parallel-processing-kl-diploma-syllabus-for-computer-hardware-6th-sem-2015-revision-sitttr","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/6152-parallel-processing-kl-diploma-syllabus-for-computer-hardware-6th-sem-2015-revision-sitttr\/","title":{"rendered":"6152: Parallel Processing KL Diploma Syllabus for Computer Hardware 6th Sem 2015 Revision SITTTR"},"content":{"rendered":"<p align=\"justify\">Parallel Processing detailed syllabus for Computer Hardware (Computer Hardware) for 2015 revision curriculum has been taken from the <a class=\"rank-math-link\" href=\"http:\/\/www.sitttrkerala.ac.in\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">SITTTRs<\/a> official website and presented for the Computer Hardware students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Computer Hardware 6th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/computer-hardware-computer-hardware-kl-diploma-syllabus-for-6th-sem-2015-revision-sitttr\">Computer Hardware 6th Sem 2015 revision scheme<\/a>. The detailed syllabus of parallel processing is as follows. <\/p>\n<p>  <title>Parallel Processing<\/title><\/p>\n<h4>Course General Outcomes:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.   <\/p>\n<h4>Specific Outcomes:<\/h4>\n<p align=\"justify\">\n  MODULE &#8211; I Parallel Computing<\/p>\n<ol>\n<li>To Understand Parallel Processing\n<ol type=\"i\">\n<li>Introduction to Parallel Computing<\/li>\n<li>Scope of Parallel Computing<\/li>\n<li>Parallel Programming Platforms &#8211;<\/li>\n<li>Limitations of Memory System Performance<\/li>\n<li>Physical Organization of Parallel Platforms<\/li>\n<li>Parallel Network Topologies<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>  MODULE &#8211; II Parallel Algorithm Design<\/p>\n<ol>\n<li>To Understand Parallel Algorithm Design\n<ol type=\"i\">\n<li>Discuss Decomposition, Tasks, and Dependency Graphs<\/li>\n<li>Discuss Granularity, Concurrency, and Task-Interaction<\/li>\n<li>Describe Processes and Mapping<\/li>\n<li>Compare Processes versus Processors<\/li>\n<li>Discuss different Decomposition Techniques<\/li>\n<li>Characteristics of Tasks and Interactions<\/li>\n<li>Methods for Containing Interaction Overheads<\/li>\n<li>Discuss different Parallel Algorithm Models<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>  MODULE &#8211; III Analytical Modeling of Parallel Programs<\/p>\n<ol>\n<li>To Understand Analytical Modeling of Parallel Programs\n<ol type=\"i\">\n<li>Sources of Overhead in Parallel Programs<\/li>\n<li>Discuss Performance Metrics for Parallel Systems<\/li>\n<li>Describe the Effect of Granularity on Performance<\/li>\n<li>Scalability of Parallel Systems<\/li>\n<li>Programming Using the Message-Passing Paradigm<\/li>\n<li>Principles of Message-Passing Programming<\/li>\n<li>Discuss the Message Passing Interface<\/li>\n<li>Describe Sending and Receiving Messages<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>  MODULE &#8211; IV Programming Shared Address Space Platforms<\/p>\n<ol>\n<li>Programming Shared Address Space Platforms\n<ol type=\"i\">\n<li>Programming Shared Address Space Platforms<\/li>\n<li>The POSIX Thread API<\/li>\n<li>Thread Basics: Creation and Termination<\/li>\n<li>Synchronization Primitives in Pthreads<\/li>\n<li>Controlling Thread and Synchronization Attributes<\/li>\n<li>Thread Cancellation<\/li>\n<li>Composite Synchronization Constructs<\/li>\n<li>Tips for Designing Asynchronous Programs<\/li>\n<li>OpenMP: a Standard for Directive Based Parallel Programming<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<h4>MODULE &#8211; I Parallel Computing<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.   <\/p>\n<h4>MODULE &#8211; II Parallel Algorithm Design<\/h4>\n<p align=\"justify\">\n  Principles of Parallel Algorithm Design Preliminaries &#8211; Decomposition Techniques- Recursive Decomposition, Data Decomposition ,Exploratory Decomposition, Speculative Decomposition , Hybrid Decompositions &#8211; Characteristics of Tasks and Interactions &#8211; Methods for Containing Interaction Overheads -Parallel Algorithm Models &#8211; Data-Parallel Model, Task Graph Model, Work Pool Model , Master-Slave Model, Pipeline or Producer-Consumer Model, Hybrid Models\n<\/p>\n<h4>MODULE &#8211; III Analytical Modeling of Parallel Programs<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.   <\/p>\n<h4>MODULE &#8211; IV Programming Shared Address Space Platforms<\/h4>\n<p align=\"justify\">\n  Programming Shared Address Space Platforms Thread Basics &#8211; The POSIX Thread API &#8211; Thread Basics: Creation and Termination &#8211; Synchronization Primitives in Pthreads -Controlling Thread and Synchronization Attributes &#8211; Thread Cancellation &#8211; Composite Synchronization Constructs &#8211; Tips for Designing Asynchronous Programs &#8211; OpenMP: a Standard for Directive Based Parallel Programming\n<\/p>\n<h4>Text Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.   <\/p>\n<h4>Reference Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>An Introduction to Parallel Programming Peter Pacheco (Author)<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Computer Hardware, 2015 revision curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/computer-hardware+6th-sem\">Computer Hardware 6th Sem subject syllabuses for 2015 revision<\/a>. <\/p>\n<p align=\"justify\">To see the syllabus of all other branches of diploma 2015 revision curriculum do visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/kerala-diploma-syllabus\/\">all branches of SITTTR diploma 2015 revision<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Parallel Processing detailed syllabus for Computer Hardware (Computer Hardware) for 2015 revision curriculum has been taken from the SITTTRs official website and presented for the Computer Hardware students. For course [&hellip;]<\/p>\n","protected":false},"author":2462,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[37,48],"tags":[],"class_list":["post-2856","post","type-post","status-publish","format-standard","hentry","category-6th-sem","category-computer-hardware"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/2856","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=2856"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/2856\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=2856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=2856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=2856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}