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As the power of computational resources continues to grow, researchers at Princeton University rely more heavily on research computing. The TIGRESS High Performance Computing Center is a collaborative collection of four major HPC resources, storage, and programmers designed to facilitate computational science and engineering on campus. Following a brief overview of the TIGRESS systems, their capabilities, and the application process for using them, several faculty will discuss their research using these systems and other HPC resources on campus.
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As the power of computational resources continues to grow, researchers at Princeton University rely more heavily on research computing. The TIGRESS High Performance Computing Center is a collaborative collection of four major HPC resources, storage, and programmers designed to facilitate computational science and engineering on campus. Following a brief overview of the TIGRESS systems, their capabilities, and the application process for using them, several faculty will discuss their research using these systems and other HPC resources on campus.
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As the power of computational resources continues to grow, researchers at Princeton University rely more heavily on research computing. The TIGRESS High Performance Computing Center is a collaborative collection of four major HPC resources, storage, and programmers designed to facilitate computational science and engineering on campus. Following a brief overview of the TIGRESS systems, their capabilities, and the application process for using them, several faculty will discuss their research using these systems and other HPC resources on campus.
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As the power of computational resources continues to grow, researchers at Princeton University rely more heavily on research computing. The TIGRESS High Performance Computing Center is a collaborative collection of four major HPC resources, storage, and programmers designed to facilitate computational science and engineering on campus. Following a brief overview of the TIGRESS systems, their capabilities, and the application process for using them, several faculty will discuss their research using these systems and other HPC resources on campus.
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Princeton Autonomous Vehicle Engineering (PAVE) is an undergraduate research group that is currently focused on the challenges of machine vision for autonomous navigation of ground vehicle. Student from the group, along with faculty advisor Professor Alain Kornhauser (ORFE), talk about their experiences in the 2005 and 2007 DARPA Grand Challenge and the technology they have developed.
More info:http://blogs.princeton.edu/itsacademic/2007/12/computers_driving_down_nassau_street.html
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Lunch 'n Learn presentation: RSS (Really Simple Syndication) technology enables anyone to "subscribe" to content on a website and have updates "pushed" to their desktops or online feed readers automatically; it’s like Tivo, but for the Internet. ATOM/RSS feeds are most often used on sites with frequently updated content (e.g., blogs, news sites, scholarly journals, etc.).
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Moore's Law holds that, every 18 months, computing power doubles. Most of the wonders of the computer age can be directly attributed to Moore's Law. Alas, its days are numbered. What then? In this talk Dr. Chazelle argues that the years ahead will usher in the era of the "Algorithm," a notion that will prove even more disruptive and revolutionary than quantum mechanics was in the 20th century.
More info: http://blogs.princeton.edu/itsacademic/2007/12/why_your_humble_ipod_may_...
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Princeton Autonomous Vehicle Engineering (PAVE) is an undergraduate research group that is currently focused on the challenges of machine vision for autonomous navigation of ground vehicle. Student from the group, along with faculty advisor Professor Alain Kornhauser (ORFE), talk about their experiences in the 2005 and 2007 DARPA Grand Challenge and the technology they have developed.
More info:http://blogs.princeton.edu/itsacademic/2007/12/computers_driving_down_nassau_street.html
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Moore's Law holds that, every 18 months, computing power doubles. Most of the wonders of the computer age can be directly attributed to Moore's Law. Alas, its days are numbered. What then? In this talk Dr. Chazelle argues that the years ahead will usher in the era of the "Algorithm," a notion that will prove even more disruptive and revolutionary than quantum mechanics was in the 20th century.
More info: http://blogs.princeton.edu/itsacademic/2007/12/why_your_humble_ipod_may_...
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Randy Komisar of KPCB and Debra Dunn, previously of HP, discuss entrepreneurship during the Entrepreneurial Thought Leader lecture series.
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