High Performance Computing Course Introduction High Performance computing

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High Performance Computing Course Introduction

High Performance Computing Course Introduction

High Performance computing and Big Data Object Simplified HPC for Everyone stop the Jargon…

High Performance computing and Big Data Object Simplified HPC for Everyone stop the Jargon… How Learn by doing Lectures & Workshops Facilities Access to the State of Art computing facilities provided by the National Super Computer Centre SURF SARA More info 6 C E Ø Web site: www. hpc. uva. nl Ø studiegids: http: //studiegids. uva. nl/web/uva/sgs/nl/c/14797. html

From the introductory video on the hpc. uva. nl Web site • • •

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 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

What you need? • Your own laptop (and a charger!) • Operating system (on

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/Uv. A 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 http: //www. putty. org/

How to approach the HPC • Learn by doing, hands on (except for today)

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

Very important for Students • BSc students (excluding informatica students) can earn 6 EC

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

Very important for US • Your feedback are very important to improve the course

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 •

HPC Schedule e m Type/duration i Lectures/6 hours t t u d o (John

HPC Schedule e m Type/duration i Lectures/6 hours t t u d o (John Donners, SURFsara) Workshop/2 hours n b u a o n f (Jeroen Engelbert, SURFsara) Workshop/4 hours o it e b a n (Markus van Dijk/ Natalie Workshop/8 hours m a l r c Danezi, SURFsara) n o. f n a Workshop/8 hours n(Machiel Jansen/ o v i i Jeroen Schot, SURFsara) t u d. a c e 6. GPU on DAS 4 (Ana Varbanescu, Uv. A) Workshop/4 hours c l p i o l a h t d e 7. MPI / Open. MP Workshop/4 hours n D a (Clemens Grelck, Uv. A) Topics 1. Intro to distributed sys & Big. Data 2. Introduction to Unix 3. Using Lisa / Using Cartesius 4. HPC Cloud 5. Using Hadoop Organizers (Adam Belloum, Uv. A) 8. Local and Remote Visualisation Techniques (Rob Belleman, Uv. A) Workshop/4 hours

Lectures/Workshops Duration Organizers 1. Intro to distributed sys & Big. Data Type: Lectures (4

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

Teaching Staff • Surf. Sara – – – Machiel Jansen machiel. jansen@surfsara. nl Jeroen

Teaching Staff • Surf. Sara – – – Machiel Jansen machiel. jansen@surfsara. nl Jeroen Schot jeroen. schot@surfsara. nl Markus van Dijk markus. vandijk@surfsara. nl Anatoli Danezi anatoli. danezi@surfsara. nl Jeroen Engelbert jeroen. engelbert@sara. nl • Uv. A – Adam Belloum (Iv. I) A. S. Z. Belloum@uva. nl – Robert Belleman (Iv. I) R. G. Belleman@uva. nl – Clemens Grelck (Iv. I) c. grelck@uva. nl