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High Performance Computing Course Introduction. High Performance computing and Big Data.

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Presentation on theme: "High Performance Computing Course Introduction. High Performance computing and Big Data."— Presentation transcript:

1 High Performance Computing Course Introduction

2 High Performance computing and Big Data

3 From the introductory video on the hpc.uva.nl Web site Learn how to use the available facilities However there is a lot to take care … Explore and analyse your data … State of art computing and support 10 years to get my results & now it takes 2 weeks Accuracy, speed, ease of use, scaling … It’s great that there is a course now, I would like to take myself, where do I sign up … That is what you are about to do in the next couple of weeks

4 What you need? Your own laptop (and a charger!) Operating system (on your laptop it does not matter): – Microsoft Windows, OSX, Linux, other... Access to edurom/UvA wireless – If you cannot  Ask Adam he will create a guest account A terminal program: – cmd, Terminal, xterm,... An ssh client. – For Windows, install putty

5 How to approach the HPC Learn by doing, hands on (except for today) Use cases This first workshop prepare you the next ones : – Introduces the basic background needed to be able to: Communicate with computer scientists/ programmers and understand what they actually mean First step to prepare a generation of Data Scientists

6 Very important for Students BSc students (excluding informatica students) can earn 6 EC by following this course MSc students needs the approval of their ExamCommicie You HAVE to submit the Assignments to validate the course

7 Very important for US Your feedback are very important to improve the course (don’t hesitate to get in touch for suggestions) If you have a specific use case you think that requires HPC don’t hesitate to discuss it with the workshop organizer

8 HPC Schedule TopicsOrganizersType/duration 1. Intro to distributed sys & BigData (Adam Belloum, UvA)Lectures/6 hours 2. Introduction to Unix (John Donners, SURFsara) Workshop / 2 hours 3. Using Lisa / Using Cartesius (Jeroen Engelbert, SURFsara) Workshop / 4 hours 4. HPC Cloud (Markus van Dijk/ Natalie Danezi, SURFsara) Workshop / 8 hours 5. Using Hadoop(Machiel Jansen/ Jeroen Schot, SURFsara) Workshop / 8 hours 6. GPU on DAS4 (Ana Varbanescu, UvA) Workshop / 4 hours 7. MPI / OpenMP(Clemens Grelck, UvA) Workshop / 4 hours 8. Local and Remote Visualisation Techniques (Rob Belleman, UvA) Workshop / 4 hours

9 s Lectures/WorkshopsDurationOrganizers 1. Intro to distributed sys & BigData Type: Lectures (4 hours) When: 05/01 -9:00-13:00 - Where: SP G2.02 (1) Type: Lectures (2 hours) When: 07/01 -13:00-15:00 - Where: SP G2.10 (1) (Adam Belloum, UvA) 2. Introduction to Unix Type: Workshop (2 hours) When: 07/01 -15:00-17:00 - Where: SP G2.10 (1) (John Donners SURF SARA) 3. Using Lisa / Using Cartesius Type: Workshop (4 hours) When: 12/01 -13:00-17::00 - Where: SP G2.10 (1) (Jeroen Engelberts, SURF SARA) 4. HPC Cloud Type: Workshop (8 hours) When: 15/01 -9:30-17:00 - Where: SP A1.16 (2) / D1.116 (3) (Markus van Dijk/ Natalie Danezi, SURF SARA) 6. Using Hadoop Type: Workshop (8 hours) When: 19/01 -9:30-17:00 - Where: SP A1.10 (2) / D1.116 (3) (Machiel Jansen/ Jeroen Schot, SURF SARA) 5. GPU on DAS4 Type: Workshop (4 hours) When: 22/01 -13:00-17:00 - Where: SP D1.114 (3) (Ana Varbanescu, UvA/VU) 8. MPI / OpenMP Type: Workshop (4 hours) When: 26/01 -9:00-13:00 - Where: SP A1.04 (2) (Clemens Grelck, UvA) 7. Local and Remote Visualisation Techniques Type: Workshop (4 hours) When: 29/01 -9:00-13:00 - Where: SP A1.04 (2) (Rob Belleman, UvA) (1) SPB G2.02, G2.10, G3.10 are located in Building G, Science Park 1098 XH Amsterdam (2) SP A1.04, A1.10, A1.16 are located in Building A, Science Park 1098 XH Amsterdam (3) SP D1.114, D1.116 are located in Building D, Science Park 1098 XH Amsterdam

10 Teaching Staff SurfSara – Machiel Jansen – Jeroen Schot – Markus van Dijk – Anatoli Danezi –Jeroen Engelbert UvA – Adam Belloum (IvI) – Robert Belleman (IvI) – Clemens Grelck (IvI)


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