國際多核技術與應用研討會

masonchung

隨著多核心處理器的普及，近年來多核心運算與平行軟體技術的研究日益重要。
. `" g' t( ?& U+ {本次會議特別邀請到Intel、NVIDIA、Yahoo、Google、Toshiba等國際知名大廠之專家學者，探討Multi-Core技術發展趨勢、平行處理、創新應用及雲端運算服務等議題，現場並安排相關產品與技術成果的展示。
研討會相關議程規劃如下:
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$ W6 ?( |" i# u' }時間：2009年11月2日 (一) 9：00 ~19：00
地點：臺大醫院國際會議中心301室 (台北市中正區徐州路2號)
7 K( q6 B7 Z+ E, Y/ @' _5 h+ Q指導單位：經濟部技術處
主辦單位：工業技術研究院
! d- v* _8 g# |$ t* E" O3 d協辦單位：中央研究院資訊科學研究所、國家高速網路與計算中心、台北市電腦公會、Intel、NVIDIA
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研討會議程：

8:30-9:00/報到
9:00-9:10 /開幕/詹益仁博士/工研院電光所所長
9:10-9:50 /Trends of Microprocessor Design and uArchitecture Research
, o  f3 G; X! B6 A: P# Z  z方之熙博士/Managing Director of Intel Labs-China in Beijing/Intel

8 {# r- h& J7 l7 m+ ~9 o% i$ L9:50-10:30/Transforming Computational Science with CUDA
Dr. Nathan Bell/Research Scientist/NVIDIA
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' Y, a& q- S8 h5 u0 W4 |0 O- S$ }10:30-10:50/Coffee Break
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& {0 |: N6 J# c4 ^10:50-11:30/Google’s Platform and Services in the Cloud
簡立峰博士/Google台灣區總經理
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% u$ a( R* k$ d3 n7 Y% O' D" ^7 I11:30-12:10/Cloud Computing and Open Strategy at Yahoo!
/ s7 I9 K& R% w9 h+ b丁綺萍/Yahoo奇摩技術長
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5 d8 W& Q1 A& c. S6 }3 t12:10-13:10/午餐
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  {* M1 w7 e  O13:10-13:50/Software development for the SpursEngine : A High-Performance Multi-core Stream Processor for Media Processing Acceleration
3 k  E( D3 a: Q5 ?. AKenichi Mori/Senior Specialist/ Toshiba

  V" C3 t5 P' y& _. P  M$ `0 e/ u13:50-14:20/3D Imaging & Applications on Multi-Core Platform
1 y8 H) d: O8 J* }' r; S+ P# ?劉楷哲博士/工研院電光所副理
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14:20-14:40/Coffee Break
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14:40-15:20/Parallel Programming Paradigms: How far can they get us ?
Dr. Lawrence Rauchwerger/Prof./Texas A&M Univ
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4 X: @5 y& ]6 p15:20-15:50/Support of Programming Models and Tools for Embedded Multi-core Systems
2 [9 d6 l9 b) u" V3 i5 y6 j& G3 z2 c李政崑博士/清大資工系教授
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; Q8 L0 [/ C7 Q6 T: W6 V15:50-17:00/Panel Discussion
+ I( ]' @9 n# _2 I# v8 d( i; J17:00-19:00/Cocktail Reception and Exhibition

! `7 H- I- ?- c$ I[ 本帖最後由 masonchung 於 2009-10-19 05:06 PM 編輯 ]

chip123

The discussions in today's workshop are centered around three dlfferent platfomis:
multicore platforms, clouding computing, and embedded systems.

1. For those three different platforms,

   1. What are their respective programming requirements?
   2. Do they need different programming paradigms/models?
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/ @) \# S$ P% B8 g- F, K2. What kind of programming support needed for programming on those three types of platforms?
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   1. What are available now? What will be really nice to have? And what are absolutely essential?
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3. In your crystal ball, what are the killer applications for those three platforms in the near future?