PPT-Appliance-based architectures for high performance data int

Author : jane-oiler | Published Date : 2015-12-06

Session at Silicon India Rajgopal Kishore Vice President and Global Head of BI amp Analytics HCL Technologies rkishorehclin rkishore9gmailcom State of data Challenges

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Appliance-based architectures for high performance data int: Transcript

Session at Silicon India Rajgopal Kishore Vice President and Global Head of BI amp Analytics HCL Technologies rkishorehclin rkishore9gmailcom State of data Challenges Need of the day. Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. Your Cloud Connected Disaster Recovery Solution. Infrascale. by the Numbers. 2. Introduction to your hosts: . Ken Shaw and Stephane Fymat. . Ken Shaw. Founder and CEO. Ken@infrascale.com. linkedin.com/in/kenshaw. Dimension Reduction. Student: . Seung-Hee. . Bae. Advisor: . Dr. Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Thesis Defense, Jan. 17, 2012. Software Architecture. Describe how the various software components are to be organized and how they should interact.. It describe the organization and interaction of software components.. System Architecture. Garbage Collector . Khanh Nguyen. , Lu Fang, . Guoqing. . Xu. , . Brian . Demsky. , . Sanazsadat. . Alamian. , . University of Chicago. ETH Z. ür. ich. University of California, Irvine. Shan Lu. Onur. Parallel . Architectures. . & Performance Analysis. Parallel computer: multiple-processor system supporting parallel programming.. Three principle types of architecture. Vector computers, in particular processor arrays. Confidential – Oracle Internal. Use These Wins and References With Your Customers. March 2017. Note To Sellers. Please use the following public references and anonymous customer slides with your customers. Big Data Analytics. Sang-Woo Jun. *. Ming Liu. *. . Sungjin. Lee. *. Jamey Hicks. . John . Ankcorn. . Myron King. . . Shuotao. Xu. *. Arvind. *. *. MIT Computer Science and Artificial Intelligence Laboratory. Database Accelerators. Authors: Jian Fang. 1. , Yvo T.B. Mulder. 1. ,. Kangli Huang. 1. , Yang Qiao. 1. ,. Xianwei Zeng. 1. ,. . Jan . Hidders. 2. ,. Jinho Lee. CUDA Lecture 3. Parallel Architectures and Performance Analysis. Conventional Von Neumann architecture consists of a processor executing a program stored in a (main) memory:. Each main memory location located by its address. Addresses start at zero and extend to 2. Dhabaleswar K. (DK) Panda. The Ohio State University. E-mail: panda@cse.ohio-state.edu. http://www.cse.ohio-state.edu/~panda. Keynote Talk at ISCS (2015). by. High-End Computing (HEC): ExaFlop & ExaByte. Use These Wins and References With Your Customers. October 24, 2016. Confidential – Oracle Internal. Note To Sellers. Please use the following public reference and anonymous customer slides with your customers. BigData Express Research Team . November 12, 2018. Many people’s hard work. FNAL: . Qiming. Lu, Liang Zhang, Sajith . Sasidharan. , . . Session at . Silicon India. Rajgopal Kishore. Vice President and Global Head of BI & Analytics, . HCL Technologies. rkishore@hcl.in. rkishore9@gmail.com. . State of data. Challenges. Need of the day.

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