﻿<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
<channel>
  	<title>NVIDIA CUDAZone 新聞</title>
	<link>http://www.nvidia.com.tw</link>
	<description>CUDAZone 的新聞與最新消息</description>
	<language>tw</language>
	<webMaster></webMaster>
	<copyright>NVIDIA Corporation</copyright>
	<image>
		<url>http://www.nvidia.com.tw/content/rss/nvidia_logo.jpg</url>
		<title>NVIDIA Logo</title>
		<link>http://www.nvidia.com.tw</link>
	</image>


<item>
		<title>NVIDIA與產學界共同展示GPU運算應用成果 打造業界最廣泛的平行運算開發產業體系</title>
		<link>http://www.nvidia.com.tw/object/io_1264407495443.html</link>
		<description></description>
		<pubDate>Fri, 22 Jan 2010 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1264407495443.html</guid>
	</item>


<item>
		<title>NVIDIA集結國內外GPU運算菁英　加速科學研究與商業應用</title>
		<link>http://www.nvidia.com.tw/object/io_1264406267576.html</link>
		<description></description>
		<pubDate>Tue, 19 Jan 2010 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1264406267576.html</guid>
	</item>
<item>
		<title>NVIDIA與國立臺灣大學攜手突破科學研究挑戰</title>
		<link>http://www.nvidia.com.tw/object/io_1261119685084.html</link>
		<description></description>
		<pubDate>Thu, 17 Dec 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1261119685084.html</guid>
	</item>

<item>
		<title>全新NVIDIA Tesla 繪圖處理器大幅降低超級運算成本</title>
		<link>http://www.nvidia.com.tw/object/io_1259771551192.html</link>
		<description></description>
		<pubDate>Tue, 1 Dec 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1259771551192.html</guid>
	</item>

<item>
		<title>2009 HPCwire 讀者與編輯推薦大獎高度肯定NVIDIA Tesla GPU運算解決方案</title>
		<link>http://www.nvidia.com.tw/object/io_1260949792916.html</link>
		<description></description>
		<pubDate>Wed, 11 Nov 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1260949792916.html</guid>
	</item>










	
	<item>
		<title>NVIDIA OptiX – 可編程的光線追蹤引擎- 現已上市</title>
		<link>http://developer.nvidia.com/object/optix-home.html?rssid=cuda_nvioptpro1104</link>
		<description></description>
		<pubDate>Wed, 04 Nov 2009 06:00:00 PST</pubDate>
		<guid>http://developer.nvidia.com/object/optix-home.html</guid>
	</item>
	<item>
		<title>NVIDIA RealityServer利用繪圖處理器大力推動雲端運算</title>
		<link>http://www.nvidia.com.tw/object/realityserver_tw.html?rssid=cuda_nvireapro1027</link>
		<description></description>
		<pubDate>Tue, 27 October 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/realityserver_tw.html</guid>
	</item>
	<item>
		<title>閱讀”Fermi”白皮書，"Fermi"為NVIDIA的下一世代CUDA架構</title>
		<link>http://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whi
tepaper.pdf#rssid?=cuda_reathewhi0913</link>
		<description></description>
		<pubDate>Wed, 13 Oct 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whi
tepaper.pdf</guid>
	</item>	
	<item>
		<title>CUDA超級英雄大賽(CUDA Superhero Challenge)公布優勝者</title>
		<link>http://www.prnewswire.com/news-releases/topcoder-and-nvidia-announce-winners-of-cuda-super
hero-challenge-at-nvidia-gpu-technology-conference-63121422.html#rssid?=cuda_cudsupcha0913</link>
		<description></description>
		<pubDate>Wed, 13 Oct 2009 06:00:00 PST</pubDate>
		<guid>http://www.prnewswire.com/news-releases/topcoder-and-nvidia-announce-winners-of-cuda-super
hero-challenge-at-nvidia-gpu-technology-conference-63121422.html</guid>
	</item>
	<item>
		<title>NVIDIA揭櫫「Fermi」次世代CUDA GPU架構</title>
		<link>http://www.nvidia.com.tw/object/io_1254466949588.html#rssid?=cuda_nviunvnex0930</link>
		<description></description>
		<pubDate>Wed, 30 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1254466949588.html</guid>
	</item>
	<item>
		<title>NVIDIA針對開發人員推出Nexus, 專為採用Microsoft Visual Studio的開發者提供業界首個整合式GPU與CPU開發環境</title>
		<link>http://www.nvidia.com.tw/object/pr_nexus_093009_tw.html#rssid?=cuda_nviintnex0930</link>
		<description></description>
		<pubDate>Wed, 30 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/pr_nexus_093009_tw.html</guid>
	</item>
		<item>
		<title>PGI的CUDA Fortran編譯器Beta版本 現已開放下載</title>
		<link>http://www.pgroup.com/support/downloads.php#rssid?=cuda_pgicudfor0930</link>
		<description></description>
		<pubDate>Wed, 30 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.pgroup.com/support/downloads.php</guid>
	</item>
	<item>
		<title>NVIDIA推出業界首款公開的OpenCL 繪圖處理器驅動程式和效能量測工</title>
		<link>http://developer.nvidia.com/object/get-opencl.html#rssid?=cuda_nvirelind0928</link>
		<description></description>
		<pubDate>Mon, 28 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://developer.nvidia.com/object/get-opencl.html</guid>
	</item>	
	<item>
		<title>NVIDIA透過現場網路廣播 呈現繪圖處理器技術大會的精彩內容</title>
		<link>http://www.nvidia.com/gtc#rssid?=cuda_nviannliv0922</link>
		<description></description>
		<pubDate>Mon, 28 Sep 2009 6:00:00 PST</pubDate>
		<guid>www.nvidia.com/gtc</guid>
	</item>
	<item>
		<title>NVIDIA與微軟攜手打造高效能GPU運算</title>
		<link>http://www.nvidia.com.tw/object/io_1254281707831.html#rssid?=cuda_nvicolwit0928</link>
		<description></description>
		<pubDate>Mon, 28 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1254281707831.html</guid>
	</item>
	<item>
		<title>CUDA專區締造全新里程碑- 應用程式與報告合計已超過560項發表</title>
		<link>http://www.nvidia.com.tw/object/cuda_home_tw.html#rssid?=cuda_cudzonhit0922</link>
		<description></description>
		<pubDate>Tue, 22 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/cuda_home_tw.html#</guid>
	</item>	
	<item>
		<title>利用繪圖處理器所打造的即時數位全像微奈米顯微鏡–CUDA專區全新發表</title>
		<link>http://www.nvidia.com.tw/object/cuda_home_tw.html#state=detailsOpen;aid=9d2fbd2e-e241-478f-90a1-f40cb04ed084rssid?=cuda_reatimdig0922</link>
		<description></description>
		<pubDate>Tue, 22 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/cuda_home_tw.html#state=detailsOpen;aid=9d2fbd2e-e241-478f-90a1-f40cb04ed084</guid>
	</item>
	<item>
		<title>大量平行繪圖處理器加速資料庫查詢過程–CUDA專區全新發表</title>
		<link>http://www.nvidia.com.tw/object/cuda_home_tw.html#state=detailsOpen;aid=ab53f652-f3d5-41b7-ab63-10bbda728871rssid?=cuda_maspargpu0909</link>
		<description></description>
		<pubDate>Wed, 16 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/cuda_home_tw.html#state=detailsOpen;aid=ab53f652-f3d5-41b7-ab63-10bbda728871</guid>
	</item>
	





	<item>
		<title>NVIDIA推出業界第一款專為繪圖處理器量身打造的OpenCL效能量測工具</title>
		<link>http://forums.nvidia.com/index.php?showtopic=106336?rssid=cuda_nvirelind0909</link>
		<description></description>
		<pubDate>Wed, 09 Sep 2009 6:00:00 PST</pubDate>
		<guid>http://forums.nvidia.com/index.php?showtopic=106336</guid>
	</item>
	<item>
		<title>NVIDIA推出全球首款互動式光跡追蹤引擎</title>
		<link>http://www.nvidia.com.tw/object/io_1249894073229.html?rssid=cuda_cudsupray0828</link>
		<description></description>
		<pubDate>Mon, 28 Aug 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1249894073229.html</guid>
	</item>
<item>
  		<title>NVIDIA發表CUDA工具套件2.3版本</title>
		<link>http://forums.nvidia.com/index.php?showtopic=102548?rssid=cuda_nvirelver0709</link>
		<description></description>
		<pubDate>Wed, 22 Jul 2009 06:00:00 PST</pubDate>
		<guid>http://forums.nvidia.com/index.php?showtopic=102548</guid>
	</item>



	<item>
		<title>NVIDIA發表CUDA C程式設計最佳實作指南</title>
		<link>http://forums.nvidia.com/index.php?showtopic=101432?rssid=cuda_nvianncud0709</link>
		<description></description>
		<pubDate>Wed, 9 Jul 2009 00:00:00 PST</pubDate>
		<guid>http://forums.nvidia.com/index.php?showtopic=101432</guid>
	</item>


	<item>
		<title>PGI和NVIDIA合作推出CUDA Fortran編譯器</title>
		<link>http://www.pgroup.com/about/news.htm#34?rssid=cuda_pgiandnvi0624</link>
		<description></description>
		<pubDate>Wed, 24 Jun 2009 00:00:00 PST</pubDate>
		<guid>http://www.pgroup.com/about/news.htm#34</guid>
	</item>
		
	<item>
		<title>Autodesk利用NVIDIA GPU運算強化Moldflow軟體效能</title>
		<link>http://news.prnewswire.com/DisplayReleaseContent.aspx?ACCT=104<![CDATA[&]]>STORY/www/story/06-23-2009/0005049137<![CDATA[&]]>EDATE=?rssid=cuda_autlevnvi0624</link>
		<description></description>
		<pubDate>Wed, 24 Jun 2009 06:00:00 PST</pubDate>
		<guid>http://news.prnewswire.com/DisplayReleaseContent.aspx?ACCT=104<![CDATA[&]]>STORY/www/story/06-23-2009/0005049137<![CDATA[&]]>EDATE=?rssid=cuda_autlevnvi0624</guid>
	</item>






	<item>
		<title>CUDA工具套件和軟體開發套件2.3 Betas現已能提供已註冊開發人員所用</title>
		<link>http://developer.nvidia.com/page/registered_developer_program.html?rssid=cuda_cudtooand0623</link>
		<description></description>
		<pubDate>Tue, 23 Jun 2009 06:00:00 PST</pubDate>
		<guid>http://developer.nvidia.com/page/registered_developer_program.html</guid>
	</item>
	<item>
		<title>國立台灣大學成為全球第一個亞太CUDA卓越中心</title>
		<link>http://www.nvidia.com.tw/object/io_1233640885942.html</link>
		<description></description>
		<pubDate>Fri, 23 January 2009 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/io_1233640885942.html</guid>
	</item>
	<item>
		<title>上YouTube聆聽開發者討論CUDA</title>
		<link>http://www.YouTube.com/nvidiatesla</link>
		<description></description>
		<pubDate>Thu, 27 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.YouTube.com/nvidiatesla</guid>
	</item>	
	<item>
		<title>NVIDIA Tesla超級個人電腦：960個核心，4兆級浮點運算，250倍的運算能力</title>
		<link>http://www.nvidia.com.tw/personal_supercomputing</link>
		<description></description>
		<pubDate>Thu, 20 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/personal_supercomputing</guid>
	</item>
	<item>
		<title>新品上架! CUDA 2.2 Beta 現在提供下載</title>
		<link>http://www.nvidia.com.tw/object/cuda_get_tw.html</link>
		<description></description>
		<pubDate>Thu, 20 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/cuda_get_tw.html</guid>
	</item>
		<item>
		<title>NVIDIA和CARY共同打造具有Tesla的CRAY CX1桌側超級電腦</title>
		<link>http://www.nvidia.com/object/io_1227095937833.html</link>
		<description></description>
		<pubDate>Wed, 19 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227095937833.html</guid>
	</item>
	<item>
		<title>DICE對NVIDIA PhysX技術深具信心，創作出Mirror's Edge</title>
		<link>http://www.nvidia.com/object/io_1227078291811.html</link>
		<description></description>
		<pubDate>Wed, 19 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227078291811.html</guid>
	</item>
	<item>
		<title>NVIDIA Tesla讓眾多客戶享有革命性的效能提升</title>
		<link>http://www.nvidia.com/object/io_1227090004199.html</link>
		<description></description>
		<pubDate>Wed, 19 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227090004199.html</guid>
	</item>
	<item>
		<title>NVIDIA和NEC攜手為HPC市場提供GPU運算解決方案</title>
		<link>http://www.nvidia.com/object/io_1227091836539.html</link>
		<description></description>
		<pubDate>Wed, 19 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227091836539.html</guid>
	</item>
	<item>
		<title>NVIDIA Tesla和HP HP Proliant伺服器讓高效能運算產業加速前進</title>
		<link>http://www.nvidia.com/object/io_1227093364644.html</link>
		<description></description>
		<pubDate>Wed, 19 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227093364644.html</guid>
	</item>	
	<item>
		<title>NVIDIA Tesla讓個人電腦擁有超級運算能力的美夢成真</title>
		<link>http://www.nvidia.com/object/io_1227008280995.html</link>
		<description></description>
		<pubDate>Wed, 18 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227008280995.html</guid>
	</item>
	<item>
		<title>Mathematica使用者能自NVIDIA CUDA獲得100倍的效能提升</title>
		<link>http://www.nvidia.com/object/io_1227010734073.html</link>
		<description></description>
		<pubDate>Wed, 18 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227010734073.html</guid>
	</item>
	<item>
		<title>在Lenovo At SC08上，NVIDIA展現強大的GPU運算解決方案</title>
		<link>http://www.nvidia.com/object/io_1227011551906.html</link>
		<description></description>
		<pubDate>Wed, 18 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1227011551906.html</guid>
	</item>
	<item>
		<title>Tokyo Tech打造首個以Tesla GPU為基礎的異質叢集(Heterogeneous Cluste)，以此晉升五百大</title>
		<link>http://www.nvidia.com/object/io_1226945999108.html</link>
		<description></description>
		<pubDate>Wed, 18 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1226945999108.html</guid>
	</item>	
	<item>
		<title>OpenGeoSolution以NVIDIA TESLA改造地震模型</title>
		<link>http://www.nvidia.com/object/io_1226399804070.html</link>
		<description></description>
		<pubDate>Wed, 18 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com/object/io_1226399804070.html</guid>
	</item>
	<item>
    		<title>新品上架! CUDA 2.0 – 立即下載完整的工具套件</title>
		<link>http://www.nvidia.com.tw/object/cuda_get_tw.html</link>
		<description></description>
		<pubDate>Fri, 22 August 2008 06:00:00 PST</pubDate>
		<guid>http://www.nvidia.com.tw/object/cuda_get_tw.html</guid>
		</item>
   
	<item>
		<title>CUDA 2.0獲得PC Magazine所頒發的第二十五屆技術卓越獎</title>
		<link>http://www.pcmag.com/article2/0,2817,2332991,00.asp</link>
		<description></description>
		<pubDate>Wed, 12 November 2008 06:00:00 PST</pubDate>
		<guid>http://www.pcmag.com/article2/0,2817,2332991,00.asp</guid>
	</item>
	
	
</channel>
</rss>