1 The Good  HPC brings a wealth of parallelization experience, petaflop scaling and hybrid architectures.  Analytics brings new algorithms and new markets.

Slides:

Advertisements

Similar presentations

IMA 2.5: Software Architecture and Development Environment Roberto Olivares M.S. Electrical Engineering Vanderbilt University, Spring 2003.

Advertisements

Techniques for Visualizing Massive Data Sets

Priority Research Direction (I/O Models, Abstractions and Software) Key challenges What will you do to address the challenges? – Develop newer I/O models.

Big Data Management and Analytics Introduction Spring 2015 Dr. Latifur Khan 1.

1 / 26 CS 425/625 Software Engineering Architectural Design Based on Chapter 11 of the textbook [SE-8] Ian Sommerville, Software Engineering, 8t h Ed.,

Chapter 1 The Big Picture Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing.

WHT/ HPCC Systems Flavio Villanustre VP, Products and Infrastructure HPCC Systems Risk Solutions.

Traffic Sign Recognition Using Artificial Neural Network Radi Bekker

Chapter 1 The Big Picture Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing.

Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,

K E Y : SW Service Use Big Data Information Flow SW Tools and Algorithms Transfer Application Provider Visualization Access Analytics Curation Collection.

H ADOOP DB: A N A RCHITECTURAL H YBRID OF M AP R EDUCE AND DBMS T ECHNOLOGIES FOR A NALYTICAL W ORKLOADS By: Muhammad Mudassar MS-IT-8 1.

ICOM 5995: Performance Instrumentation and Visualization for High Performance Computer Systems Lecture 7 October 16, 2002 Nayda G. Santiago.

Extreme scale parallel and distributed systems – High performance computing systems Current No. 1 supercomputer Tianhe-2 at petaflops Pushing toward.

Chapter 1 The Big Picture.

Data Structures & Algorithms and The Internet: A different way of thinking.

Millions of points of measurement Dense spatial and temporal data Need visual analytic tools as conventional analyses are too inefficient Visualization.

NET-AUCTION This online auction project Directed by: Mr. Maxim Gurevich Submitted by: Yuri Kipnis Alex Scheotkin Alex Scheotkin.

Big Data Vs. (Traditional) HPC Gagan Agrawal Ohio State ICPP Big Data Panel (09/12/2012)

Big Data Analytics Large-Scale Data Management Big Data Analytics Data Science and Analytics How to manage very large amounts of data and extract value.

Chapter 1 The Big Picture Chapter Goals Describe the layers of a computer system Describe the concept of abstraction and its relationship to computing.

Chapter 1 Computer Abstractions and Technology. Chapter 1 — Computer Abstractions and Technology — 2 The Computer Revolution Progress in computer technology.

WHAT OUR CUSTOMERS ARE SAYING “After thorough market research and a review process, Qorus Breeze Proposals stood out from the competitors because of its.

SOFTWARE DESIGN. INTRODUCTION There are 3 distinct types of activities in design 1.External design 2.Architectural design 3.Detailed design Architectural.

K E Y : SW Service Use Big Data Information Flow SW Tools and Algorithms Transfer Transformation Provider Visualization Access Analytics Curation Collection.

FOUNDATION IN INFORMATION TECHNOLOGY (CS-T-101) TOPIC : INFORMATION SYSTEM – SOFTWARE.

1 / 26 CS 425/625 Software Engineering Architectural Design Based on Chapter 10 of the textbook [Somm00] Ian Sommerville, Software Engineering, 6 th Ed.,

CS525: Big Data Analytics MapReduce Computing Paradigm & Apache Hadoop Open Source Fall 2013 Elke A. Rundensteiner 1.

CS-303 Introduction to Programming

An Open Source GIS Architecture Connected and Linked Data

Boost Developer Productivity with a 360- Degree View of Every Software Change by Using FinditEZ, Certified Microsoft Platform Ready for SQL Azure MICROSOFT.

Quantum Programming Languages By Steve Franchak. What are QPL’s? A set of programming languages that use high- level constructs to express quantum algorithms.

Easy-to-Use RedFlag System Delivers Notifications via Phone, , Text, Social Media, and More to Improve Effectiveness of Your Communications COMPANY.

K E Y : DATA SW Service Use Big Data Information Flow SW Tools and Algorithms Transfer Hardware (Storage, Networking, etc.) Big Data Framework Scalable.

1 TCS Confidential. 2 Objective : In this session we will be able to learn:  What is Cloud Computing?  Characteristics  Cloud Flavors  Cloud Deployment.

Trajectory’s Game-Powered Apps Extend the Value of Business Training and Testing Materials with Help from the Microsoft Azure Cloud MICROSOFT AZURE ISV.

Software-defined network(SDN)

Copyright © 2016 Pearson Education, Inc. Modern Database Management 12 th Edition Jeff Hoffer, Ramesh Venkataraman, Heikki Topi CHAPTER 11: BIG DATA AND.

Overture Is a Unique Omni-channel E-commerce Platform that Leverages the Power of Microsoft Azure to Orchestrate Every Customer Transaction MICROSOFT AZURE.

CANARIE Developer’s Workshop Vancouver, BC March 2014.

The KDD Process for Extracting Useful Knowledge from Volumes of Data Fayyad, Piatetsky-Shapiro, and Smyth Ian Kim SWHIG Seminar.

What we mean by Big Data and Advanced Analytics

Organizations Are Embracing New Opportunities

Meemim's Microsoft Azure-Hosted Knowledge Management Platform Simplifies the Sharing of Information with Colleagues, Clients or the Public MICROSOFT AZURE.

Predictive Solution’s Roadmap

So, what was this course about?

Big-Data Fundamentals

Insurance Fraud Analytics in the Cloud with Saama and Microsoft Azure

Built Using the Powerful Microsoft Azure Platform, Mailytics Gives Marketers Competitor Data and Campaign Analysis to Better Develop Strategies MICROSOFT.

Take Control of Insurance Product Management: Build, Test, and Launch Any Product Globally 10x Faster, 10x More Cheaply with INSTANDA on Azure Partner.

Oscar AP by Massive Analytic: A Precognitive Analytics Platform for Effortless Data-Driven Decisions. Now Available in Azure Marketplace MICROSOFT AZURE.

Designed for Big Data Visual Analytics, Zoomdata Allows Business Users to Quickly Connect, Stream, and Visualize Data in the Microsoft Azure Platform MICROSOFT.

Using Tensorflow to Detect Objects in an Image

Yellowfin: An Azure-Compatible Business Intelligence Platform That Connects People with Their Data for Better Decision Making MICROSOFT AZURE APP BUILDER.

DeFacto Planning on the Powerful Microsoft Azure Platform Puts the Power of Intelligent and Timely Planning at Any Business Manager’s Fingertips Partner.

Accelerate Your Self-Service Data Analytics

Logical Data Warehousing and Tableau 10

CS 425/625 Software Engineering Architectural Design

 Deep Analytical Talent  Data Savvy Professionals  Technology and Data Enablers.

XtremeData on the Microsoft Azure Cloud Platform:

TEMPLATE NOTES Our datasheet and mini-case study templates are formatted specifically for consistency of branding at Microsoft. Please do not alter font.

Using Tensorflow to Detect Objects in an Image

Improve Patient Experience with Saama and Microsoft Azure

Harness the competitive advantages of Power BI and obtain business-critical insights with Adastra’s enterprise analytics platform using Microsoft Azure.

Last.Backend is a Continuous Delivery Platform for Developers and Dev Teams, Allowing Them to Manage and Deploy Applications Easier and Faster MICROSOFT.

MississaugaTalks! Saif Shaikh March 5, 2016 Code and the City

Panel on Research Challenges in Big Data

Data Analysis and R : Technology & Opportunity

V. Uddameri Texas Tech University

Presentation transcript:

1 The Good  HPC brings a wealth of parallelization experience, petaflop scaling and hybrid architectures.  Analytics brings new algorithms and new markets.  The Database world brings new paradigms, new users and… Big Data.

2 The Bad  Highly parallel HPC machines are frankly hard to program. Hybrid architectures make this worse.  Analytics, particularly over non-tabular data structures, requires users to think about their problem in an entirely new way.  Big Data brings scaling issues to every link of the analysis chain, including the user.

3 The Beautiful  The ugliness of massively parallel hybrid architectures can be hidden under layers of abstraction.  New visualization techniques can bring new ways of understanding large problems. High-level languages calling HPC subroutines make programming easier.  New levels of insight into very large and mixed datasets will bring new benefits to society.