9th International SuperComputing Camp 2018
Da Nang, Vietnam
8th-15th of July 2018

Program

Overview

Preliminary program of SC-Camp 2018

Program

Program summary

Detailed Program



Welcoming


Registration

Meeting the staff and instructors


Welcome and Local Presentation

Speakers:

Presentation of SC-Camp and the Sponsors and the local research teams.



Introduction to High Performance Computing


Lecture: Introduction to HPC Applications, the Need for Scalable Architectures

Duration: 1h30

Speaker: Prof Carlos Jaime Barrios Hernandez (UIS - Bucaramanga, Colombia)

An introduction to the first parallel and distributed machines until today state-of-the-art. This lecture aims at presenting the key factors from the rise of parallel applications to today’s huge distributed systems. From the cluster to BigData, passing through the grid, the cloud, GPU, and much more.


Lecture: Practical Introduction to High Performance Computing

Duration: 1h

Speaker: Dr Xavier Besseron (University of Luxembourg)

Computer simulation and data processing is now a key skill for every engineer as the complexity of the problems to be solved and the amount of data to analyzed are always increasing. High Performance Computing (HPC) proposes to leverage distributed and parallel computers to execute these applications quickly and efficiently. This talk gives an overview of the HPC concepts, then, a typical HPC workflow is studied and precious advice to get your HPC simulations running efficiently are provided.

Objectives:



Using an HPC cluster


Lecture: Resource Manager & Job Scheduler

Duration: 1h30

Speaker: TBD

High Performance Computing platforms are platforms offering a large number of computing resources shared among a large of number of users. The Resource Manager and Job Scheduler are the core tools of such platform which allow to distribute the resource to the users and avoid any conflict.

This lecture proposes an overview of a typical HPC platform and defines the concept of resources. It describes and explains the role of the resource manager and job scheduler in an HPC platform, and introduce the concept of job scheduling. Then it offers an overview of the most useful features: interactive session, reservation, job submission, etc. in the main job schedulers (e.g. SLURM).

In the end, it provides all the key elements for an efficient HPC workflow.

Content:


Practical Session: Getting Started on the HPC cluster

Duration: 2h30

Speaker: TBD

The first purpose of the this session is to allow the students to configure their access to the HPC platform. In a second time, the students can experiment with the main features of the job scheduler.

Objectives:



Debugging & Profiling


Lecture: Know Your Bugs: Weapons for Efficient Debugging

Duration: 1h

Speaker: Dr Xavier Besseron (University of Luxembourg)

This presentation gives the essentials to fight and prevent the bug invasion occurring in any software. It proposes a short introduction to debugging tools, focusing mainly on GDB and Valgrind. Then the most common types of bugs are presented and explained, and a method to track them is proposed. Finally, recommendations for day-to-day software development are advised in order to keep safe from bugs (as much as possible) or at least track them efficiently.

Content:


Practical session: Debugging & Profiling

Duration: 3h

Speaker: Dr Xavier Besseron (University of Luxembourg)

During this practical session, the student will learn how to track bugs in voluntarily infested programs using the tools introduced previously.

Objective:



Data Analysis with R


Lecture: Introduction to R and Data Analysis

Duration: 1h

Speaker: Dr Xavier Besseron (University of Luxembourg)

This lecture proposes a quick introduction to R and data analysis. It gives an overview of the basic commands and data structures to get started with R and suggests a few good practices to organize and manipulate data.

Content:


Practical Session: Analyse Parallel Applications Performance with R

Duration: 3h

Speaker: Dr Xavier Besseron (University of Luxembourg)

With a good basis, let’s practice on the subject of performance evaluation of parallel applications.

Objective:



Reproducible Research


Lecture: Introduction to Reproducible Research

Duration: 1h

Speaker: Dr Filip Krikava (Czech Technical University)


Practical Session: Reproducible Research with R and Docker

Duration: 3h

Speaker: Dr Filip Krikava (Czech Technical University)



HPC Programming: Principles of Distributed and Shared Memory Models


Lecture: Introduction to Distributed Memory Models

Duration: 1h

Speaker: Ing Gilberto Díaz (UIS - Bucaramanga, Colombia)

Programming models to understand the trends when using multiple computing units.


Lecture: Distributed Computing Through Message Passing MPI

Duration: 1h

Speaker: Ing Gilberto Díaz (UIS - Bucaramanga, Colombia)

The challenges of distributed computing involve exchanging message. The MPI, message passing interface, is still THE standard for many distributed applications. Throughout this lecture we will visit many aspects of distributed programing usign MPI.


Lecture: Introduction to Shared Memory Models

Duration: 1h

Speaker: Prof Robinson Rivas (Universidad Central de Venezuela)

Todays’ HPC systems always count on multiple cores. With the goal to improve the usage on such systems knowledge of multithread programing is mandatory. This lectures shows the basis of OpenMP : a well spred environment to implement parallel applications.

Modern HPC platforms platforms are based on both Distributed and Shared memory architectures. In the case of Shared Memory, even handheld devices uses multiple processors/cores hardware, and it is usual to have up to 16 processing cores on commercial smartphones. Understanding how these architectures works is very important for Computer Scientists and programmers. In this tutorial, students will learn about some different Shared Memory models, the advantages of this approach, and the main implementations found for commercial and scientific usage.


Practical Session: Programming with MPI and OpenMP

Duration: 3h30

Speakers:

Using MPI and OpenMP, we will guide you on the implementation of a parallel and distributed application.



Leveraging Accelerators for HPC


Using CUDA to Improve Performance on Scientific Applications

Duration: 1h

Speaker: Prof Carlos Jaime Barrios Hernandez (UIS - Bucaramanga, Colombia)

Programming with CUDA we will visit projects that significantly improve their performance using CUDA.


XeonPhi to Increase Speed of Parallel Code

Duration: 1h

Speaker: Prof Carlos Jaime Barrios Hernandez (UIS - Bucaramanga, Colombia)

Programming with XeonPhi.


Practical Session: Using Accelerators to Improve Performance.

Duration: 3h

Speaker:

This practical session is the opportunity to use accelerators that will be available for the students.



Big Data


Lecture: Big Data Essentials

Duration: 1h

Speakers:


Practical Session: Big Data

Duration: 1h

Speakers:


Practical Session: Data Analysis with Spark

Duration: 3h

Speakers: Dr Filip Krikava (Czech Technical University)



Crypto-Currencies


Lectures: Crypto-Currencies

Duration: 1h

Speakers: Prof Robinson Rivas (Universidad Central de Venezuela)

Cryptocurrencies are becoming more and more popular around the world as a secure yet fast way to pay/invest. Altought the economic impact, there are many important and strong Distributed and Parallel Computing concepts and implementations in the cryptocurrencies area. In this talk, students will learn the basis of cryptocurrencies, the most important algorithms regarding distributed control and consensus, the parallel implementations for mining, and some other interesting topics about thes up-to-date area. Also, Bitcoin history and evolution will be discussed from an engineering point of view.



Contest


Contest Introduction

Speakers:

A contest will be proposed to the student to allow them to apply the knowledge they acquired. Different problems are provided and they can selected one/many categories in which they which to participate. The students are encouraged to propose parallel and distributed solutions that run on the HPC cluster.

Results are evaluated based on their correctness and performance.


Contest Supervision

The students are given time to solve the problems and are supervised by the instructors of the SC-Camp.


Contest Results and Student Awards

The best solutions of the contest are presented by the students and discussed with everybody.



Keynotes


Keynote 1

Duration: 1h

Speakers:

To be announced


Keynote 2

Duration: 1h

Speakers:

To be announced


Keynote 3

Duration: 1h

Speakers:

To be announced



Closing


Closing Session


Certificates and Final Words

Sponsors

Organizers