{"id":2267,"date":"2009-04-01T12:08:37","date_gmt":"2009-04-01T19:08:37","guid":{"rendered":"http:\/\/dabacon.org\/pontiff\/?p=2267"},"modified":"2009-04-01T12:08:37","modified_gmt":"2009-04-01T19:08:37","slug":"reducing-computer-power-consumption","status":"publish","type":"post","link":"https:\/\/dabacon.org\/pontiff\/2009\/04\/01\/reducing-computer-power-consumption\/","title":{"rendered":"Reducing Computer Power Consumption"},"content":{"rendered":"<p>Wow, <a href=\"https:\/\/accounts.google.com\/ServiceLogin?service=mail&amp;passive=true&amp;rm=false&amp;continue=https:\/\/mail.google.com\/mail\/&amp;ss=1&amp;scc=1&amp;ltmpl=default&amp;ltmplcache=2&amp;emr=1&amp;osid=1\">this<\/a> is a very cool result:<\/p>\n<blockquote><p>Researchers at IBM&#8217;s Thomas J. Watson Research Center in Yorkstown, NY have announced a breakthrough which they feel could revolutionize power consumption in computers.  Today&#8217;s computers are power hungry: a typical computer consumes hundreds of watts of power.  Not only does this power consumption add up to a lot of wasted power, but increasingly the amount of heat generated by the machines is a significant barrier to building faster more powerful computers.  The researchers at IBM say they&#8217;ve made a breakthrough in how computers consume power which will dramatically lower power consumption at the cost of only slightly longer time to perform computations.<br \/>\n&#8220;Computation is inherently a power consuming process.  Every time a transistor performs a calculation in your computer, you generate a little bit of heat.  Want to add two plus two?  That will cost you some energy,&#8221; said lead researcher Charlie Tennett in explaining the teams new approach.  &#8220;But what we realized was, that this is a two way street.  What happens if, instead of adding two plus two, you take four and break it up into two twos?&#8221;<br \/>\nThe heart of the IBM researchers breakthrough is the observation that if &#8220;computing&#8221; costs energy then &#8220;uncomputing&#8221; can be used to generate energy.  &#8220;By performing a computation, copying the answer, and then unperforming the computation, we only consume power during the copying procees&#8221; says Dr. Tennett.  &#8220;Since that copying doesn&#8217;t consume much energy we get huge efficiencies in power consumption.&#8221;<br \/>\nAs a demonstration of this breakthrough, Dr. Tennett showed a prototype computer built by team members John Swolin and Barbara Shareal.  &#8220;We took an ordinary laptop and changed its programming.  Every time we execute a program on the computer, the program copies over the answer and then does the same program, but running backward.  We then hooked up our laptop to a power meter, and watched, in amazement, as almost all of the power consumed by the program was fed back into the electrical system when we ran the program backward!&#8221;<br \/>\nThe team believes that there is a great potential for the use of their technology even in fields outside of computation.  &#8220;Think of all the vast amounts of computation that has been performed over the last few decades,&#8221; dreams Dr. Tennett, &#8220;if we could just undo all of those computations, we could easily ween America off of its oil addition.&#8221;<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Wow, this is a very cool result: Researchers at IBM&#8217;s Thomas J. Watson Research Center in Yorkstown, NY have announced a breakthrough which they feel could revolutionize power consumption in computers. Today&#8217;s computers are power hungry: a typical computer consumes hundreds of watts of power. Not only does this power consumption add up to a &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/dabacon.org\/pontiff\/2009\/04\/01\/reducing-computer-power-consumption\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Reducing Computer Power Consumption&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[20,84],"tags":[],"class_list":["post-2267","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-technology"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/posts\/2267","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/comments?post=2267"}],"version-history":[{"count":0,"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/posts\/2267\/revisions"}],"wp:attachment":[{"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/media?parent=2267"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/categories?post=2267"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dabacon.org\/pontiff\/wp-json\/wp\/v2\/tags?post=2267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}