{"id":41,"date":"2013-12-19T19:51:51","date_gmt":"2013-12-20T00:51:51","guid":{"rendered":"http:\/\/pages.charlotte.edu\/techne\/2013\/12\/19\/magic\/"},"modified":"2016-07-27T15:48:19","modified_gmt":"2016-07-27T20:48:19","slug":"magic","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/techne\/magic\/","title":{"rendered":"MAGIC"},"content":{"rendered":"
Availability:<\/strong> Free Download<\/a>
\nComparable:<\/strong>\u00a0<\/a><\/div>\n

Magic is a very large scale integration layout tool.\u00a0 The main difference between Magic and other VLSI design tools is its use of “corner-stitched” geometry, in which all layout is represented as a stack of planes, and each plane consists entirely of “tiles” (rectangles). The tiles must cover the entire plane. Each tile consists of an (X, Y) coordinate of its lower left-hand corner, and links to four tiles: the right-most neighbor on the top, the top-most neighbor on the right, the bottom-most neighbor on the left, and the left-most neighbor on the bottom. With the addition of the type of material represented by the tile, the layout geometry in the plane is exactly specified. The corner-stitched geometry representation leads to the concept of layout as “paint” to be applied to, or erased from, a canvas. This is considerably different from other tools that use the concept of layout as “objects” to be placed and manipulated separately from one another. Each concept has its own strengths and weaknesses in terms of both practical use and speed of computation. The corner-stitched representation is particularly well suited to searches within a single plane, for which it excels in speed. It is not particularly well suited to extremely large databases: The need to maintain four pointers for each tile, as well as the need to store tiles representing the space between areas of material on a layout, makes it more memory-intensive than object-based representations.<\/p>\n

Magic currently runs under Linux, although versions exist for DOS, OS\/2, and other operating systems. Magic is frequently used in conjunction with IRSIM and other simulation programs.<\/p>\n","protected":false},"excerpt":{"rendered":"

Availability: Free Download Comparable:\u00a0 Magic is a very large scale integration layout tool.\u00a0 The main difference between Magic and other VLSI design tools is its use of “corner-stitched” geometry, in which all layout is represented as a stack of planes, and each plane consists entirely of “tiles” (rectangles). The tiles must cover the entire plane. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[209,208],"class_list":["post-41","post","type-post","status-publish","format-standard","hentry","category-design-visualization","tag-layout","tag-vlsi","platform-linux","techniques-simulate","vendor-open-source"],"acf":[],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/s4bsJk-magic","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/posts\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/comments?post=41"}],"version-history":[{"count":5,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/posts\/41\/revisions"}],"predecessor-version":[{"id":1652,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/posts\/41\/revisions\/1652"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/media?parent=41"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/categories?post=41"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/techne\/wp-json\/wp\/v2\/tags?post=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}