[hpc-announce] CfP - Fall School on Efficient Architectures for Data Science (EADS 2017)

[Feinbube, Lena]

​Call-for-Participation - Fall School on Efficient Architectures for Data Science (EADS 2017)

[Apologies if you receive multiple copies of this CFP]

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                       CALL FOR PARTICIPATION

                          Fall School on
        Efficient Architectures for Data Science (EADS 2017)

                     1st Fall School of the
        HPI Future of Service-oriented Computing Laboratory,
    Hasso Plattner Institute at the University of Potsdam (HPI)

              September 18-22, 2017, Potsdam, GERMANY

                    http://hpi.de/eads2017

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Data science applications require an adept handling of underlying hardware and software resources to achieve the required scalability and efficiency. To unleash the full potential of data science technologies, the developers' understanding needs to go beyond the mere usage of third-party library interfaces.

Emerging data science applications can only benefit from improved hardware acceleration, if compute and storage resources are managed efficiently. Non-uniform memory hierarchies and heterogeneous computing architectures offer enormous opportunities but also pose new challenges for deep learning and other machine learning approaches.

The *Fall School on Efficient Architectures for Data Science* will bring together students, researchers and industry practitioners to explore these opportunities and challenges.


### Contest

The event focuses on hands-on experience and mutual exchange. It features two parts:

* There will be expert-taught classes on data science technologies, efficient resource utilization, and advanced optimization approaches.

* The majority of the time will be allocated to a practical software development and optimization contest, which will challenge participants to apply their knowledge in a real-world data science scenario.

We are looking forward to an exciting week of inspiration, learning, and hacking.


### Prerequisites

Exceptional Master students and Ph.D. candidates with research interests in data science, machine learning, parallel computing, resource optimization, or heterogeneous computing are encouraged to apply.
Programming skills in C/C++ and Python are desirable.


### Important Dates

* July 28         - End of *Early* Registration Period
* September 10    - Final Registration Deadline
* September 18-22 - Future SOC Lab Fall School
* November 15     - Award Ceremony, HPI Future SOC Lab Day - Fall 2017


### List of Topics

* Performance of data science techniques and algorithms
* Scalability and efficiency of deep learning
* Efficient resource utilization and monitoring
* Optimization for massively parallel hardware
* NUMA-aware programming
* Heterogeneous and accelerated computing


### Agenda

* September 18
  * Registration, Welcome
  * Introductory Talks: Hardware and Infrastructure of the Future SOC Lab
  * Introductory Talks: Data Science Algorithms, Frameworks, Tools
  * Exercises
* September 19
  * Advanced Talks: Resource Management and Performance Optimization
  * Challenge Details
  * Project Time
  * Social Event
* September 20
  * Invited Talks: Stories from the Industry
  * Project Time
  * Social Event
* September 21
  * Invited Talks: Current Research
  * Project Time
  * Social Event
* September 22
  * Progress Presentations
  * Project Time

* November 15
  * Future SOC Lab Day Fall/2017
  * Award Ceremony: Future SOC Lab Fall School


### Prize

The best implementations from the programming contest will be awarded special prizes backed by our sponsors.
Contestants' solutions will be evaluated regarding their efficiency, resource utilization, performance and exactness.

All participants of EADS will receive a certificate for their accomplishments.

The jury will comprise the organizers and sponsors.


### Venue

The event will take place at Hasso Plattner Institute, Potsdam, with direct access to the HPI Future SOC Lab.

The Future SOC Lab, a cooperation of HPI and the industrial partners Dell EMC, Fujitsu, SAP, and Hewlett Packard Enterprise, offers an infrastructure of powerful hardware and software, including a 1000 core cluster, multi-core servers, a variety of accelerators and coprocessors, and cutting edge storage and interconnect technologies.

The Future SOC lab enables the computational acceleration of various research projects.
For EADS, the lab provides a unique location, facilitating programming experiments on state-of-the-art and next-generation infrastructure.
For the contest, participants will be granted exclusive access to all Future SOC lab resources.

Registration fees include the lectures with accompanying material, exercises, access to the infrastructure, all social events, and refreshments.

Accommodation and travel will have to be covered by the participants.


### Registration

Please register using our registration page:
http://hpi.de/eads2017

#### Fees

| Category            | Price | Early |
|:------------------- | -----:| -----:|
| GI Member / Partner |  120€ |  100€ |
| Non-Member          |  210€ |  175€ |
| Student             |   90€ |   75€ |

Early-registration discounts are available until July, 28th.


#### Sponsored Registration

Students may apply for one of *25 admission grants* using the following page:
http://hpi.de/eads2017


### Organizing Comittee

* Frank Feinbube, Hasso Plattner Institute, Germany
* Lena Feinbube, Hasso Plattner Institute, Germany
* Daniel Richter, Hasso Plattner Institute, Germany
* Bernhard Rabe, Hasso Plattner Institute, Germany
* Andreas Polze, Hasso Plattner Institute, Germany

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