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Intel Science & Technology Center for Big Data | Information about Big Data from the Intel Science & Technology Center for Big Data

Papers & Presentations. ISTC FOR BIG DATA BLOG. The Intel Science and Technology Center for Big Data. The Intel Science and Technology Center for Big Data is one of a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer collaboration among academic thought leaders in essential technology areas. In-Database Analytics for Large Array Data. ISTC FOR BIG DATA BLOG.

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Intel Science & Technology Center for Big Data | Information about Big Data from the Intel Science & Technology Center for Big Data | istc-bigdata.org Reviews

https://istc-bigdata.org

Papers & Presentations. ISTC FOR BIG DATA BLOG. The Intel Science and Technology Center for Big Data. The Intel Science and Technology Center for Big Data is one of a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer collaboration among academic thought leaders in essential technology areas. In-Database Analytics for Large Array Data. ISTC FOR BIG DATA BLOG.

INTERNAL PAGES

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Winning at Big Data: What’s Math Got to Do with It? (A Lot) | Intel Science & Technology Center for Big Data

http://istc-bigdata.org/index.php/winning-at-big-data-whats-math-got-to-do-with-it-a-lot

Papers & Presentations. ISTC FOR BIG DATA BLOG. ISTC for Big Data Blog. Cutting the Cost and Power Consumption of Big Data Applications, in a Flash. Big Data Research: Will Industry Solve all the Problems? Winning at Big Data: Whatâ s Math Got to Do with It? July 14, 2015. Fortunately, these diverse data sets also share common mathematical foundations that apply across a wide range of applications and technologies, according to ISTC Researcher and mathematician Jeremy Kepner. For example, recognizing mat...

2

Cutting the Cost and Power Consumption of Big Data Applications, in a Flash | Intel Science & Technology Center for Big Data

http://istc-bigdata.org/index.php/cutting-the-cost-and-power-consumption-of-big-data-applications-in-a-flash

Papers & Presentations. ISTC FOR BIG DATA BLOG. ISTC for Big Data Blog. The Changing Landscape of Data Systems. Winning at Big Data: Whatâ s Math Got to Do with It? A Lot) →. Cutting the Cost and Power Consumption of Big Data Applications, in a Flash. July 13, 2015. It’s possible to cut the cost and power consumption of Big Data applications by using flash memory as a replacement for conventional RAM, according to new research from ISTC Principal Investigator Arvind. On July 10.  In a paper. Arvind and...

3

The Changing Landscape of Data Systems | Intel Science & Technology Center for Big Data

http://istc-bigdata.org/index.php/the-changing-landscape-of-data-systems

Papers & Presentations. ISTC FOR BIG DATA BLOG. ISTC for Big Data Blog. Higher-Level Tools for Interactive Data Visualization. Cutting the Cost and Power Consumption of Big Data Applications, in a Flash →. The Changing Landscape of Data Systems. June 24, 2015. Â powerful/scalable infrastructure solutions for volume, velocity and variety problems â Â and not paying enough attention to the. The real problems that end-users face while performing their tasks. The true value of the data wonâ t be realized unt...

4

ISTC for Big Data | Tim Mattson | Intel Science & Technology Center for Big Data

http://istc-bigdata.org/index.php/istc-for-big-data-tim-mattson

Papers & Presentations. ISTC FOR BIG DATA BLOG. ISTC for Big Data Tim Mattson. Principal Engineer, Intel Corp. Tim Mattson is a principal engineer in the Parallel Computing Lab at Intel. His research focuses on technologies that help programmers write parallel applications. This includes programming languages (OpenMP and OpenCL), parallel design patterns, and parallel math libraries. ISTC for Big Data Roles. BLAS-like routines to support graphs in the language of linear algebra. OpenCL Programming Guide,.

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N-Store - Carnegie Mellon Database Group

http://db.cs.cmu.edu/projects/n-store

But emerging non-volatile memory (NVM) technologies require us to rethink this dichotomy. Such memory devices are slightly slower than DRAM, but all writes are persistent, even after power loss. These devices promise to overcome the disparity between processor performance and DRAM storage capacity limits that encumber data-centric applications. We are studying NVMs to understand their performance characteristics in the context of big data systems and build the groundwork for new DBMS architectures. 2015,...

db.cs.cmu.edu db.cs.cmu.edu

Many-Core Database Systems - Carnegie Mellon Database Group

http://db.cs.cmu.edu/projects/1000cores

The Carnegie Mellon Database Group. Is collaborating with the MIT Computation Structures Group. To develop a novel. In this work, we are experimenting with massively parallel on-chip architectures. This allows us to detect and isolate scalability bottlenecks and propose software-hardware co-designed solutions to address those limitations. We accomplish this by running a custom DBMS in the Graphite. MIT — 2013-2014). This research was funded (in part) by the Intel Science and Technology Center for Big Data.

sstore.cs.brown.edu sstore.cs.brown.edu

S-Store

http://sstore.cs.brown.edu/index.html

A streaming OLTP system for big velocity applications. Is the world's first streaming OLTP engine, which seeks to seemlessly combine online transactional processing with push-based stream processing for real-time applications.

pcl.intel-research.net pcl.intel-research.net

People

http://pcl.intel-research.net/people/narayanan.htm

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Parallel Computing Lab (Intel)

http://pcl.intel-research.net/index.html

People - Santa Clara. Rob Van der Wijngaart. Our lab focuses on highly parallel computing applications from various compute-intensive consumer and enterprise market segments. Our current focuses are:. Architecture: "Feeding the beast" (memory) challenge, domain-specific support, massively threaded machines, and unstructured accesses. Research on Key-value store with Billion RPS was selected as a Top Picks of computer architecture papers of 2015 by IEEE Micro. Fastest Time to Train on Deep Learning. Launc...

physical-sciences.uchicago.edu physical-sciences.uchicago.edu

Systematic growth-- UChicago's computer science department proliferates | Division of the Physical Sciences | The University of Chicago

http://physical-sciences.uchicago.edu/news/systematic-growth-uchicagos-computer-science-department-proliferates

Skip to main navigation. Skip to main content. The University of Chicago. Division of the Physical Sciences. Division of the Physical Sciences. Systematic growth- UChicago's computer science department proliferates. Inquiry - PSD Newsletter. Spring/Summer 2015 ( PDF. Fall/Winter 2014 ( PDF. Published on Jul 30, 2015. UChicago’s computer science department proliferates. In 2011, the Computer Science Department. But their specific areas of study and backgrounds are diverse. Joins the University as the Seym...

db.lcs.mit.edu db.lcs.mit.edu

Sam Madden's Home Page

http://db.lcs.mit.edu/madden

Email: madden AT csail DOT mit DOT edu. Assistant: Sheila Marian (sheila AT csail DOT mit DOT edu, x3-1996). Computer Science and Artificial Intelligence Laboratory (CSAIL). Cambridge, MA 02139. And co-direct the Intel Science and Technology Center (ISTC) in Big Data. PhD (Berkeley) 2003; M.Eng. (MIT) 1999; B.S. (MIT) 1999. Spring, 2016, 6.S062: Mobile and Sensor Computing. Fall, 2015, 6.830/6.814. Spring, 2015, 6.033 (sections). Fall, 2014, 6.830/6.814. Fall, 2013, 6.885: From ASCII to Answers. A system...

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Intel Science & Technology Center for Big Data | Information about Big Data from the Intel Science & Technology Center for Big Data

Papers & Presentations. ISTC FOR BIG DATA BLOG. The Intel Science and Technology Center for Big Data. The Intel Science and Technology Center for Big Data is one of a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer collaboration among academic thought leaders in essential technology areas. In-Database Analytics for Large Array Data. ISTC FOR BIG DATA BLOG.

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