30.08.2017

News

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

The Summer School on Efficient Architectures for Data Science will bring together students, researchers and industry practitioners to explore opportunities and challenges of using modern hardware resources for emerging data science applications.

When, Where, Who & What?

Hasso Plattner Institute
Potsdam | September 18 - 22, 2017

(Registration expired on September 11th; for very late bird registration please contact us)
Accomodation
CfP/Poster (PDF, ~3.5 MB)
Brochure with Agenda (PDF, ~5.8 MB)

1st Summer School of the HPI Future SOC Lab

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

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.

The target audience comprises of master students and Ph.D. students who have some experiences with data science – mainly toy examples – and little experiences with real-world challenges related to performance and scale.

Important Dates

July 28, 2017	>	End of Early Registration Period
September 10, 2017	>	Final Registration Deadline
September 18-22, 2017	>	Future SOC Lab Summer School

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

Preliminary, Subject to change.

Monday, September 18, 2017

HS 2 (Talks), H-E.11/13 (Hands-on)

09:00 – 09:30	Registration
09:30 – 09:45	Opening of the Summer School on Efficient Architectures for Data Science
	Prof. Dr. Andreas Polze, Hasso Plattner Institute, Potsdam
09:45 – 10:30	Keynote
	Prof. Dr. Felix Naumann, Hasso Plattner Institute, Potsdam Big Data Science
10:30 – 10:45	Coffee Break
10:45 – 12:30	Current Applied Research
	Christian Bartz, Hasso Plattner Institute, Potsdam End-to-End Detection and Recognition Systems for Computer Vision
	Tim Repke, Hasso Plattner Institute, Potsdam Analysing Business Communication
12:30 – 14:00	Lunch Break
14:00 – 14:45	EADS Challenge
	Bernhard Rabe, HPI Future SOC Lab, Potsdam HPI Future SOC Lab Insights
	Frank Feinbube, Chairman Projects, SAP Innovation Center, Potsdam EADS 2017 Challenge Details
14:45 – 17:00	Hands-on: Challenge, Frameworks, Tools
	Sven Köhler, Lena Feinbube, Carsten Walther, Max Plauth Getting started: Infrastructure, Framework, MPI, OpenMP, CUDA, SIMD
17:00 – 17:15	Wrap-up & Feedback
18:00	Social Event
	Barbecue at HPI

Tuesday, September 19, 2017

HS 2 (Talks), H-E.11/13 (Hands-on)

09:00 – 11:15	Hands-on: Resource Management and Performance Optimization
	Thomas Jakobs, Chemnitz University of Technology, Chemnitz Optimizations for the Future: Energy and Power Efficiency
	Sven Köhler, Hasso Plattner Institute, Potsdam Parallel Programming with MPI
	Felix Eberhardt, Hasso Plattner Institute, Potsdam Optimization Guidelines for NUMA Architectures
11:15 – 11:30	Coffee Break
11:30 – 12:30	Hands-on: Resource Management and Performance Optimization
	Sven Köhler, Hasso Plattner Institute, Potsdam Data-parallel Programming with Vector Instructions
	Max Plauth, Hasso Plattner Institute, Potsdam An Introduction to GPU Accelerated Computing
12:30 – 14:00	Lunch Break
14:00 – 17:00	Hands-on: Challenge Details & Project Time
	Max Plauth, Felix Eberhardt, Frank Feinbube, Sven Köhler, Carsten Walther
17:00 – 17:15	Wrap-up & Feedback

Wednesday, September 20, 2017

HS 2 (Talks), H-E.11/13 (Hands-on)

09:00 – 10:00	Fast Abstracts (EADS2017 Attendees)
	Laura Morgenstern Towards a NUMA-aware Task-based Fast Multipole Method
	Kate Hofmann A Framework for Evaluation of Computational Cognition
	Cristian Camilo Castellanos BDA ArchOps: An Executable Architectural Model for Big Data Analytics
	Sedigheh Eslami Privacy for Data Science: The Trade-off Between Privacy and Utility
	Paul Opuchlich Data Science for Intrusion Detection Systems
10:00 – 10:45	Stories from the Industry
	Dr. Rainer Kerth, Chief Architect, SAP Leonardo ML foundation SAP Leonardo ML Foundation: Overview of SAP’s Platform for Machine Learning
10:45 – 11:00	Coffee Break
11:00 – 12:30	Stories from the Industry
	Megha Agarwal, Data Scientist II, Pivotal Software, Inc Agile Data Science
	Dr. Fritz Schinkel, Head of Competence Center Big Data, Product Business, Fujitsu Machine Learning for Big Data Analysis
12:30 – 14:00	Lunch Break
14:00 – 17:00	Hands-on: Project Time
	Max Plauth, Felix Eberhardt, Frank Feinbube, Sven Köhler, Carsten Walther
17:00 – 17:15	Wrap-up & Feedback
17:20	Social Event
	Barbecue at Innovation Center Potsdam

Thursday, September 21, 2017

HS 2 (Talks), H-E.11/13 (Hands-on)

09:00 – 12:30	Hands-on: Project Time
	Max Plauth, Felix Eberhardt, Frank Feinbube, Sven Köhler, Carsten Walther
12:30 – 14:00	Lunch Break
14:00 – 17:00	Hands-on: Project Time
	Max Plauth, Felix Eberhardt, Frank Feinbube, Sven Köhler, Carsten Walther
17:00 – 17:15	Wrap-up & Feedback
17:15 – 21:45	Project Time
22:00	Deadline Contest Submission

Friday, September 22, 2017

HS 2 (Talks), H-E.11/13 (Hands-on)

09:00 – 10:00	Presentation Preparation
	EADS2017 Attendees
10:00 – 12:00	Project Presentations
	EADS2017 Attendees
12:00 – 13:00	Lunch & Jury Meeting
13:00 – 13:30	Reception
13:30 – 14:00	Award Ceremony & Closing Remarks
	Prof. Dr. Andreas Polze, Hasso Plattner Institute, Potsdam

Prize

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

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 DellEMC, Fujitsu, SAP and Hewlett Packard Enterprise (HPE), 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 the 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.

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

When, Where, Who & What?

1st Summer School of the HPI Future SOC Lab

Prerequisites

Important Dates

List of Topics

Agenda

Monday, September 18, 2017

Tuesday, September 19, 2017

Wednesday, September 20, 2017

Thursday, September 21, 2017

Friday, September 22, 2017

Prize

Venue

Date & Location

Poster

Industry Partners

Contact Us | Organization

Short URL

Future SOC Lab

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20.04.2021 | Future SOC Lab Day - Spring 2021