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Past Training Workshops

Past Training Workshops: 25
SDSC Summer Institute 2014 HPC Meets Big Data
 
Event Date: Aug 04, 2014 to Aug 08, 2014
IPP Webinar: Benchmarking the Xeon Phi Coprocessor Dr. David Nadeau presents a clear and accessible overview of methods and results for the Xeon Phi Coprocessor.
Register for this webinar.

 
Event Date: May 14, 2014
IPP Webinar: From Games to Science:
Building A Raspberry Pi Cluster
for Visualization and Teaching
Dr. Rick Wagner is pioneering low-cost high-tech ways to make science more accessible through gaming and the Raspberry Pi.
Register for this webinar.

 
Event Date: Jan 15, 2014
IPP Webinar: Demystifying the Data Scientist Dr. Natasha Balac provides insights into methods for exploring data mining and predictive analytics and shows how easy it is to get started.
Register for this webinar.

 
Event Date: Nov 12, 2013
Hadoop Essentials Developed in partnership with UC San Diego Extension, this two-day, hands-on training course is designed for data analysts, business intelligence specialists, developers, administrators or anyone who wants to quickly process massive and complex data directly in Hadoop.
Register for this workshop.

 
Event Date: Nov 07, 2013 to Nov 08, 2013
2-Day GPU Computing Event On behalf of the CUDA Teaching Center at the San Diego Supercomputer Center, University California San Diego and NVIDIA, you are cordially invited to register for a special 2-Day GPU Computing Event. A full day of GPU Related Sessions and Presentations, followed by a day of Hands-On Parallel Programming in a Workshop setting.
Register for this workshop.

 
Event Date: Nov 05, 2013 to Nov 06, 2013
Data Mining Boot Camp 2 - October 2013 Dates: October 17-18, 2013. Predicting future trends and behaviors – from the epic to the everyday – allows for proactive, knowledge-driven decisions. According to the Harvard Business Journal and Fortune magazine a career as a data scientist is “the” job to have in the 21st century. At the same time, it underscores the high demand for a talented, qualified STEM (science, technology, engineering, & mathematics) workforce. The San Diego Supercomputer Center (SDSC) at UC San Diego launched the Predictive Analytics Center of Excellence (PACE) to leverage SDSC’s data-intensive expertise and resources to help create the 21st century workforce of data researchers by leading a collaborative, nationwide education and training effort among academia, industry, and government.
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Event Date: Oct 17, 2013 to Oct 18, 2013
Data Mining Boot Camp 1 - September 2013 Dates: September 12-13, 2013. Predicting future trends and behaviors – from the epic to the everyday – allows for proactive, knowledge-driven decisions. According to the Harvard Business Journal and Fortune magazine a career as a data scientist is “the” job to have in the 21st century. At the same time, it underscores the high demand for a talented, qualified STEM (science, technology, engineering, & mathematics) workforce. The San Diego Supercomputer Center (SDSC) at UC San Diego launched the Predictive Analytics Center of Excellence (PACE) to leverage SDSC’s data-intensive expertise and resources to help create the 21st century workforce of data researchers by leading a collaborative, nationwide education and training effort among academia, industry, and government.
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Event Date: Sep 12, 2013 to Sep 13, 2013
SDSC Summer Institute 2013 This year the SDSC Discover Big Data Summer Institute will focus on big data analytics, helping attendees explore their data using a wide variety of predictive data analytics tools. This week-long summer institute combines both presentations and hands-on experience to introduce attendees to the latest approaches and tools to extract meaning and new insights from very large data sets. Participants will use SDSC’s Gordon data-intensive supercomputer as well as other computational resources at SDSC. An agenda and schedule will be posted in the coming months, but please hold the date now so you can attend! We also welcome expressions of interest by individuals and companies who would like to lecture, sponsor student attendees, or provide other forms of support for the institute.
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Event Date: Aug 05, 2013 to Aug 09, 2013
SDSC 2013 Industry Partners Program Meeting First annual SDSC 2013 Industry Partners Program Meeting.
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Event Date: Jun 12, 2013
Data Mining Boot Camp 1 - May 2013 Dates: May 2-3, 2013. Predicting future trends and behaviors – from the epic to the everyday – allows for proactive, knowledge-driven decisions. According to the Harvard Business Journal and Fortune magazine a career as a data scientist is “the” job to have in the 21st century. At the same time, it underscores the high demand for a talented, qualified STEM (science, technology, engineering, & mathematics) workforce. The San Diego Supercomputer Center (SDSC) at UC San Diego launched the Predictive Analytics Center of Excellence (PACE) to leverage SDSC’s data-intensive expertise and resources to help create the 21st century workforce of data researchers by leading a collaborative, nationwide education and training effort among academia, industry, and government.
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Event Date: May 02, 2013 to May 03, 2013
Preparing and Translating Data for use with VisIt One of the biggest hurdles in visualization is translating the data into a format that is supported by visualization applications. This tutorial focuses on getting users acquainted with the data formats supported by VisIt, shows how to write a simple custom data reader, and provides a very brief introduction to the in-situ capabilities of VisIt.
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Event Date: Feb 11, 2013
PACE Data Mining Boot Camps II SDSC’s Predictive Analytics Center of Excellence (PACE) Data Mining Boot Camps are designed to provide individuals in business enterprises and scientific communities with improved tactics to design, build, verify, and test predictive data models. These hands-on courses emphasize key learning techniques: classification, regression, association rules, and clustering. Boot Camp participants have access to a comprehensive set of data mining tools available on SDSC’s Gordon supercomputer. Registration fee is $1295; seating is limited.
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Event Date: Feb 07, 2013 to Feb 08, 2013
Introduction to using Hadoop on Gordon This workshop introduces participants to Hadoop and its use in scientific and data intensive computing. It will explain why computational and data-intensive investigators might be interested in knowing more about Hadoop and how it works on Gordon. SDSC’s introduction will be geared for researchers seeking to use Hadoop on XSEDE’s Gordon data intensive cluster at SDSC. During the 2-hour workshop, participants will get an introduction on the various options available for running hadoop within Gordon’s normal production environment . The configuration is based on using SSD storage on each compute node (available via iSER) to construct the Hadoop filesystem (HDFS) and the IPoIB interface for the network communication.
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Event Date: Jan 31, 2013
PACE Data Mining Boot Camps I SDSC’s Predictive Analytics Center of Excellence (PACE) Data Mining Boot Camps are designed to provide individuals in business enterprises and scientific communities with improved tactics to design, build, verify, and test predictive data models. These hands-on courses emphasize key learning techniques: classification, regression, association rules, and clustering. Boot Camp participants have access to a comprehensive set of data mining tools available on SDSC’s Gordon supercomputer. Registration fee is $1295; seating is limited.
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Event Date: Jan 23, 2013 to Jan 24, 2013
Introduction to Predictive Analytics for Big Data San Diego Supercomputer Center offers an introduction for researchers seeking to extract meaningful predictive information from within massive volumes of data. During the 2-hour workshop, participants will get an introduction to the field of predictive analytics and learn to use a variety of data analysis tools to discover patterns and relationships in data that can contribute to building valid predictions. This is the first in a series of workshops in Predictive Data Analytics presented by the SDSC Predictive Analytics Center of Excellence.
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Event Date: Dec 11, 2012
Intro to Scientific and Remote Visualization on Gordon Visualization is largely understood and utilized as an excellent communication tool by researchers. This narrow view often keeps scientists from using and developing visualization skill sets. This tutorial will provide a grounds-up understanding of visualization and its utility in error diagnostic and exploration of data for scientific insight. When used effectively, visualization can provide a complementary and effective toolset for data analysis, which is one of the most challenging problems in computational domains. In this tutorial, we plan to bridge these gaps by providing end users with fundamental visualization concepts, execution tools, and usage examples.
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Event Date: Oct 24, 2012
Gordon 101: Intro to SDSC's Appro Gordon Compute Cluster This three-hour workshop provides all of the basics for getting started with the Gordon Compute Cluster. We begin with a description of the Gordon architecture covering the Intel Sandy Bridge processors and 710 Series Solid-State drives, compute nodes, I/O nodes, dual-rail 3D torus interconnect and Data Oasis, SDSC's Lustre based parallel file system. We then discuss how ScaleMP's vSMP foundation software is used to aggregate multiple physical compute nodes to provide users with a large logical, shared memory space.

Workshop videos and slides may be found at: http://www.sdsc.edu/us/training/gordon101_workshop.html.



Event Date: May 17, 2012
Get Ready for Gordon: vSMP Workshop

In mid 2011, SDSC will deploy a unique data-intensive high performance computing system called Gordon. It will have a peak speed expected to be in excess of 200 Teraflops and feature very large shared memory nodes and 1/4 petabyte of flash SSD memory to vastly accelerate large database and data mining applications. Gordon will provide a balanced system for data intensive computing with the ratio of total memory (including flash) to flops > 1. Dash is a prototype of Gordon and in production available on TeraGrid for allocations right now. This workshop will use hands on examples to introduce the main architectural features of Dash. Key features include flash memory and the virtualized SMP (vSMP) system. Flash memory can accelerate latency bound I/O and hence improve performance of applications with random I/O access patterns. The vSMP Foundation allows aggregation of compute and data resources from several nodes and allows for use of shared memory programming. Users see a single coherent system with a single OS. vSMP Foundation maintains cache coherency between boards. This allows for a simple/flexible parallel programming. The Dash production vSMP node aggregates resources from 16 nodes and has 128 cores with 650GB of memory available to users.

The first day of the workshop will focus on accessing, compiling, and running on the Dash compute and vSMP nodes. In addition, examples using flash memory will be covered. On the second day, the focus will be on the vSMP node usage guidelines, memory coherency mechanisms, and profiling tools.

The workshop will be available to participants on-site and remotely through ReadyTalk. If participating remotely dial-in and/or links will be sent to you the week prior to event.

SDSC information and directions can be found at: http://www.sdsc.edu.



Event Date: May 10, 2011 to May 11, 2011
GEON 7th Cyberinfrastructure Summer Institute
for Geoscientists

We are pleased to announce the 7th Cyberinfrastructure Summer Institute for Geoscientists (CSIG) to be held August 9-13 at the San Diego Supercomputer Center on the University of California, San Diego campus.

General and program information, as well as online registration is available at http://www.geongrid.org/csig10.

The broad theme for CSIG'10 will be emergent Geoinformatics approaches to 3D and 4D integration of geoscience data. Given the diverse interests of past CSIG participants, and based on feedback that they have provided, CSIG'10 will feature two "tracks" of instruction:

  • Build Track: technologies related to building Geoinformatics systems
  • Education Track: use of Geoinformatics resources in education

Interested applicants at all levels are encouraged to apply, including graduate students, postdocs, faculty, and professionals in earth science and related disciplines. You will have the option to choose the track of interest at the time of application.

Course registration and accommodations are paid for with support received from the National Science Foundation. However, please note that participants will be responsible for funding their own travel to San Diego for the Institute.

The Registration Deadline for the CSIG '10 is June 6th. Registration can be found at http://www.geongrid.org/csig10.

Please forward this information to anyone that may be interested in this year's CSIG. Questions should be directed to summerinstitute@geongrid.org.


 
Event Date: Aug 09, 2010 to Aug 13, 2010
Programming Techniques with MATLAB

Advanced Programming Techniques with MATLAB at the University of California San Diego

Agenda

10:30am - 12:00pm
Data Acquisition, Analysis and Visualization in MATLAB

During this session we will introduce examples to demonstrate how to acquire, analyze and visualize data through mathematical, statistical and engineering functions that support common engineering operations. This session is designed to provide an overview of the MATLAB technical computing environment and we will incorporate a number of new features from the latest version of MATLAB (7.9).

Highlights include:

  • Importing data into MATLAB
  • Performing statistical analysis and curve fitting
  • Automating analysis via automatic MATLAB code generation
  • Building GUIs and generating reports


12:00 - 12:30pm – Q&A Snacks & Refreshments

12:30pm - 2:30pm
Speeding Up Applications: Parallel Computing with MATLAB

In this session we will demonstrate how to perform parallel and distributed computing in MATLAB to boost execution speed on computationally intensive problems, including how to handle larger data sets. We will highlight our add-on tools that offer built-in ability to take advantage of parallel computing resources without requiring any extra coding. We will introduce you to parallel processing constructs such as parallel for-loops, distributed arrays, and message-passing functions that allow you to convert serial MATLAB applications to parallel MATLAB applications with few code modifications. We will highlight our add-on tools that offer built-in ability to take advantage of parallel computing resources without requiring any extra coding. We will also explore how to take advantage of common trends in computer hardware, from multiprocessor machines to computer clusters.

This session will cover:

  • Built-in support for parallel computing
  • Go faster: Task parallel processing
  • Grow larger: Data parallel processing
  • Scale up: Interactive to scheduled jobs

Register at www.mathworks.com/seminars/ucsd0510


 
Event Date: May 13, 2010
NVIDIA CUDA Workshop

Time: 12:30pm to 5:00pm

Engineers from NVIDIA (Duncan Poole, Massimiliano Fatica, and Scott LeGrande) presented a workshop on the use of CUDA and NVIDIA GPUs for scientific computing.


 
Event Date: Apr 09, 2010
StarP Industry Seminar Please see the flyer for details
 
Event Date: May 20, 2009
Integrated Performance Monitoring (IPM) tutorial Time: 2-4PM PST
 
Event Date: Apr 23, 2009
Advanced Star-P®
parallel programming for UC MATLAB® users
October 6, 2008 : 10 am - 3:00 pm
Instructor: Dr. Roope Astala, Interactive Supercomputing Inc.

Agenda:
10:00am Part 1: Recap of Star-P basics (1h)
  • What is Star-P?
  • Using distributed data in Star-P
  • Data parallel operations
  • Task parallel operations
  • Choosing the right approach for your problem
  • Hands-on examples
Questions and Answers (15 min)
11:15am Part 2: Performance optimization (1 h)
  • Profiling
  • Client-server communications
  • Vectorization
  • Programming scalable applications
  • Hardware considerations
  • Hands-on examples
  • Questions and Answers (15 min)

    12:30am Lunch break (1hr)

    1:30pm Part 3: Bringing it all together (1 h)
    Hands-on example: parallelizing and optimizing an application

    Questions and Answers (30 min)


     
    Event Date: Oct 06, 2008

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