Esteban Hernandez is a PhD candidate researching heterogeneous parallel programming for weather forecasting. He has 12 years of experience in software architecture, including Linux clusters, distributed file systems, and high performance computing (HPC). HPC involves using the most efficient algorithms on high-performance computers to solve demanding problems. It is used for applications like weather prediction, fluid dynamics simulations, protein folding, and bioinformatics. Performance is often measured in floating point operations per second. Parallel computing using techniques like OpenMP, MPI, and GPUs is key to HPC. HPC systems are used across industries for applications like supply chain optimization, seismic data processing, and drug development.
Technical computing (high-performance computing) used to be the domain of specialists using expensive, proprietary equipment. Today, technical computing is going mainstream, becoming the absolutely irreplaceable competitive tool for research scientists and businesses alike.
Here's a look at Dell’s pioneering role in the evolution of technical computing, with a focus on the key industry trends and technologies that will bring the next generation of tools and functionality to research and development organizations around the world.
High performance computing tutorial, with checklist and tips to optimize clus...Pradeep Redddy Raamana
Introduction to high performance computing, what is it, how to use it and when to use what. Provides a detailed checklist how to build pipelines and tips to optimize cluster usage and reduce waiting time in queue. It also provides a quick overview of resources available in Compute Canada.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
Cluster computing is a type of computing where a group of several computers are linked together, allowing the entire group of computers to behave as if it were a single entity. There are a wide variety of different reasons why people might use cluster computing for various computer tasks. It s also used to make sure that a computing system will always be available. It is unknown when this cluster computing concept was first developed, and several different organizations have claimed to have invented it.
Technical computing (high-performance computing) used to be the domain of specialists using expensive, proprietary equipment. Today, technical computing is going mainstream, becoming the absolutely irreplaceable competitive tool for research scientists and businesses alike.
Here's a look at Dell’s pioneering role in the evolution of technical computing, with a focus on the key industry trends and technologies that will bring the next generation of tools and functionality to research and development organizations around the world.
High performance computing tutorial, with checklist and tips to optimize clus...Pradeep Redddy Raamana
Introduction to high performance computing, what is it, how to use it and when to use what. Provides a detailed checklist how to build pipelines and tips to optimize cluster usage and reduce waiting time in queue. It also provides a quick overview of resources available in Compute Canada.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
Cluster computing is a type of computing where a group of several computers are linked together, allowing the entire group of computers to behave as if it were a single entity. There are a wide variety of different reasons why people might use cluster computing for various computer tasks. It s also used to make sure that a computing system will always be available. It is unknown when this cluster computing concept was first developed, and several different organizations have claimed to have invented it.
Those who out-compute can many times out-compete. The cloud gives you access to a massive amount of compute power when you need it. This talk will present an introduction to HPC in the cloud, including, the benefits of HPC in the cloud, how to get started, some tools to use, and how you can manage data. We will showcase several examples of HPC in the cloud by a number of public sector and commercial customers.
Created by: Dr. Jeff Layton, Principal, Solutions Architect
HA/DR options with SQL Server in Azure and hybridJames Serra
What are all the high availability (HA) and disaster recovery (DR) options for SQL Server in a Azure VM (IaaS)? Which of these options can be used in a hybrid combination (Azure VM and on-prem)? I will cover features such as AlwaysOn AG, Failover cluster, Azure SQL Data Sync, Log Shipping, SQL Server data files in Azure, Mirroring, Azure Site Recovery, and Azure Backup.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
On demand delivery of IT resources through the internet with payment depending on the use of the service is known as cloud computing.
The term cloud refers to a network or the internet.
It gives a solution for infrastructure at low cost.
Cloud computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud computing is both a combination of software and hardware based computing resources delivered as a network service.
This PPT presentation gives you detail introduction to cloud computing. In this ppt we have covered different types of cloud computing and different services cloud computing provides, benefits of it and challenges it faces.
Cloud Computing :Technologies for Network-Based Systems - System Models for Distributed and Cloud Computing - Implementation Levels of Virtualization - Virtualization Structures/Tools and Mechanisms - Virtualization of CPU, Memory, and I/O Devices - Virtual Clusters and Resource Management - Virtualization for Data-Center Automation.
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
Those who out-compute can many times out-compete. The cloud gives you access to a massive amount of compute power when you need it. This talk will present an introduction to HPC in the cloud, including, the benefits of HPC in the cloud, how to get started, some tools to use, and how you can manage data. We will showcase several examples of HPC in the cloud by a number of public sector and commercial customers.
Created by: Dr. Jeff Layton, Principal, Solutions Architect
HA/DR options with SQL Server in Azure and hybridJames Serra
What are all the high availability (HA) and disaster recovery (DR) options for SQL Server in a Azure VM (IaaS)? Which of these options can be used in a hybrid combination (Azure VM and on-prem)? I will cover features such as AlwaysOn AG, Failover cluster, Azure SQL Data Sync, Log Shipping, SQL Server data files in Azure, Mirroring, Azure Site Recovery, and Azure Backup.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
On demand delivery of IT resources through the internet with payment depending on the use of the service is known as cloud computing.
The term cloud refers to a network or the internet.
It gives a solution for infrastructure at low cost.
Cloud computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud computing is both a combination of software and hardware based computing resources delivered as a network service.
This PPT presentation gives you detail introduction to cloud computing. In this ppt we have covered different types of cloud computing and different services cloud computing provides, benefits of it and challenges it faces.
Cloud Computing :Technologies for Network-Based Systems - System Models for Distributed and Cloud Computing - Implementation Levels of Virtualization - Virtualization Structures/Tools and Mechanisms - Virtualization of CPU, Memory, and I/O Devices - Virtual Clusters and Resource Management - Virtualization for Data-Center Automation.
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
OpenPOWER Acceleration of HPCC SystemsHPCC Systems
JT Kellington, IBM and Allan Cantle, Nallatech present at the 2015 HPCC Systems Engineering Summit Community Day about porting HPCC Systems to the POWER8-based ppc64el architecture.
Presentació a càrrec d'Adrián Macía (tècnic líder d'Aplicacions al CSUC) duta a terme a la jornada de formació "Com usar el servei de càlcul del CSUC" celebrada el 8 d'octubre de 2019 al CSUC.
Application Profiling at the HPCAC High Performance Centerinside-BigData.com
Pak Lui from the HPC Advisory Council presented this deck at the 2017 Stanford HPC Conference.
"To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload though performing profile analysis, and comparing behaviors of using different hardware which pinpoint bottlenecks in different areas of the HPC cluster. In this session, a selection of HPC applications will be shown to demonstrate various methods of profiling and analysis to determine the bottleneck, and the effectiveness of the tuning to improve on the application performance from tests conducted at the HPC Advisory Council High Performance Center."
Watch the video presentation: http://wp.me/p3RLHQ-gpY
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
High Performance Computing Presentationomar altayyan
The Presentation Delivered on 3-6-2018 in the Data Mining Course, AI Specialization, at the Faculty of Information Technology Engineering Damascus University
Paper Link:
https://shamra.sy/academia/show/5b0c790de9fc6
Presentació a càrrec d'Adrián Macía, cap de Càlcul Científic del CSUC, duta a terme a la "3a Jornada de formació sobre l'ús del servei de càlcul" celebrada el 29 d'octubre de 2020 en format virtual.
Presentació a càrrec d'Adrián Macía (tècnic líder d'Aplicacions al CSUC) duta a terme a la "2a Jornada de formació sobre l'ús del servei de càlcul" celebrada el 19 de febrer de 2020 al CSUC.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/luxoft/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Alexey Rybakov, Senior Director at LUXOFT, presents the "Making Computer Vision Software Run Fast on Your Embedded Platform" tutorial at the May 2016 Embedded Vision Summit.
Many computer vision algorithms perform well on desktop class systems, but struggle on resource constrained embedded platforms. This how-to talk provides a comprehensive overview of various optimization methods that make vision software run fast on low power, small footprint hardware that is widely used in automotive, surveillance, and mobile devices. The presentation explores practical aspects of deep algorithm and software optimization such as thinning of input data, using dynamic regions of interest, mastering data pipelines and memory access, overcoming compiler inefficiencies, and more.
OpenCL & the Future of Desktop High Performance Computing in CADDesign World
Modern desktop computers have more compute capabilities than ever before. Most of these systems include both a central processing unit (CPU) and a graphics processing unit (GPU), each consisting of multiple computing cores providing tremendous processing power. To date, harnessing the total processing power of a desktop workstation, fully utilizing both the CPU and GPU, has proven difficult for software developers. CPUs and GPUs have few similarities in both design and programming models. OpenCL is the tool that bridges the gap for software developers and enables them to fully tap into the power of both processors with a single software programming interface.
This presentation will examine the details of CPUs and GPUs, explore their differences and similarities, and highlight the computing power they can provide. We will also take a look OpenCL, what it is, what it does, and how this new computing interface will change the way software developers create software and help end users fully realize the compute power contained within today’s modern desktop computers.
Introduction to HPC & Supercomputing in AITyrone Systems
Catch up with our live webinar on Natural Language Processing! Learn about how it works and how it applies to you. We have provided all the information in our video recording you would not miss out on.
Watch the Natural Language Processing webinar here!
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
2. About me …
• PhD (c) on Engineering *Heterogeneous Parallel
Programming for Weather Forecasting using WRF
• Bsc, Msc on Computer Sciences focus on performance
Analyzing of multicore system using PAPI.
• Minor on applied maths and Network programming
• 12 years experience on Software architecture including
Linux kernel, Linux cluster, Distributed FileSystems and
High Availability systems.
• Consultant for IBM, Cray Computing and HP.
• 4 year of research using GPUs for Cryptography, BigData
and DataSciences.
3. What is HPC?
• “The use of the most efficient
algorithms on computers capable of
the highest performance to solve the
most demanding problems” Brown
University
• “Computational facilities
substantially more powerful than
current desktop computers”.
Valencia University
• More powerful system scheduled
to first available system(s), using
multiple systems simultaneously.
TACC.Texas University
• In some cases similar to
SuperComputing style top500.org
4. When I need HPC?
• Large problems – spatially/temporally
• 10,000 x 10,000 x 10,000 grid 10^12 grid points 4x10^12 double
variables 32x10^12 bytes = 32 Tera-Bytes.
• Usually need to simulate tens of millions of time steps.
• On-demand/urgent computing; real-time computing;
• If your problems is
• Weather forecasting; protein folding; turbulence simulations/CFD;
aerospace structures; Full-body simulation/ Digital human
• Simulation using Computational Fluid Dynamics.
• Astrophysics, when my actual commodity cluster don’t offer the
power required.
• Bioinformatics simulation, Genome sequences process: I’d rather
have the result in 5 minutes than in 5 days
5. Where HPC is used ?
• Numerical Simulation and Optimization
• PDE, Finite Elements Methods,
• Weather Prediction Models
• COCOMO, WRF
• Visualization
• Medial Imaging Improving, Remote Access
• Oil and Gas
• Bioscience
• DataSciences and BigData
• Aerodynamics and aerospace engineering
• Nuclear physics and Computational
• Computational Dynamic Fluids
• Digital Signal Processing.
• Biomedical Engineering
• Information Security and Cryptography
6. How to measure performance?
• FLOPS
• Float Point Operation
Per Second using
LINKPACK
• 1GFlops, 1TeraFlop,
1Petaflop **
7. Parallel Computing, the Key
Parallel ProcessingSerial Processing
9/8/2015 Introduction to HPC
All Images was taken of https://computing.llnl.gov/tutorials/parallel_comp/
8. Parallel computing architecture
• Shared Memory
• All cores/processors
access the same
memory region
• Support of OpenMP
• Distributed Memory
• Every cores per node
has local memory, and
all memory has available
via messaging
• Support MPI
11. Design Parallel Programs
(Communications problems)
• Measuring High-Performance Computing with Real Applications. Journal Computing in Science and Engineering.
Purde University. 2008
12. Communications for HPC.
• Torus and Geminy
• Torus 3D Connection
(x,y,z)/6D Connection
• Very Low Latency (89
ns/hop) vs 1G Ethernet
(70-150 µs).
• 1.4, 1.8 y 2.5 Gbs/link
• Inifiniband
• Industry Standard with
25Gbits per Link and
300Gbits/ 12x on EDR
13. Design Parallel Programs
• Understand the Problem and the Program
• Identify the program's hotspots
• Identify bottlenecks in the program
• Apply Parallel Patterns
• Domain Decomposition
• (Data Decomposition)
Functional
Decomposition (Task
Decomposition)
14. How to develop software for HPC?
• Choose a scientific (or commercial) problem(s).
• Think in parallel
• Use decomposition (functional or domain)
• Choose a model of computation
• Shared or Distributed Memory
• Take advantage of SuperComputing center
• ** Plans for supercomputing center on this University
• Choose a technology and Frameworks.
• OpenMP, MPI
• Pure Multicore Solution, Heterogeneous Computing (GPUs, Vector)
• Gain experience with language programming and compiler
• Intel MKL, PGI, Chapel, CUDA, MPI implementations, Python
*numpy*, Fortran, Intel Xeon API, OpenAcc, OpenCL and other
specific by area.
15. Examples of Software
• Compilers with support to Mathematical routines:
PGI, Intel MKL, Cray Chapel, HP, compiler.
• Mathematical libraries: Matlab FFT, MKL, fftw
(Dft), Lapack Implementations (Linear Algebra
Pack), BLAS.
• Performance Analyzing tools ( Tau, Total Viewed ,
OpenSource Performance Tools).
• Profiling, Memory trace and debugging.
• In some cases Distributed File System (Luster,
GFS, DFS, etc)
• And much more Please review
http://www.ncsu.edu/itd/hpc/Software/Software.php
16. Current Trends in HPC
• GPUs (Specially nvidia
CUDA Capable)
• Tesla Solutions with
Kepler or Fermi *CUDA
technology*
• Intel MIC Accelerator
• X86 full Support
• Pure Multicore
Solutions
• 8 Core on Intel, 16 cores
on AMD, 8 Cores IBM
Power 7
17. Hardware Vendor of HPC
• Cray
• XE6,CX7
• IBM
• BlueGene P/Q
• IDataplex
• HP
• DL/SL/BL
Solutions
18. HPC Industry Application
• Wal-Mart uses HPC modelling to optimise its supply chain, including performing
daily stock analysis across its entire worldwide shop network
• Fed-Ex uses HPC systems to simulate and plan the delivery of millions of items
around the world each day through its fleet of 600+ aircraft and 75,000 vehicles
• The NASDAQ Stock Exchange uses HPC to process over two billion
transactions daily at rates of more than 200,000 transactions per second.
Technology costs were reduced by 70% in the last three years using commodity
HPC hardware.
• Motorola uses HPC to produce models and simulations of wireless devices and
radio links needed to develop global telecommunications services. The effects of
buildings and geographical features on wireless signals can be accurately
predicted using HPC enabling potential problems to be designed out
• Texaco uses HPC technology to process vast amounts of seismic data, enabling
deposits of oil and natural gas to be identified in sand layers.
• DreamWorks Animation SKG produces all its animated movies using HPC
graphic technology.
• Whirlpool Corporation uses HPC to carry out fluid dynamics simulations for its
dishwashers and washing machines – it has reduced he number of prototypes
that need to be built and tested, reduced design and manufacturing costs and
enhanced product quality.
19. HPC Industry Application
• Caterpillar Inc uses HPC virtual reality to improve the efficiency of heavy earth
moving equipment. Design changes that once took up to nine months to
implement can be made in less than one month.
• GE Aviation and Energy has advanced its product line using HPC processing in
the design process to produce engines that are quieter, more efficient and
produce les emissions than previously possible.
• Goodyear Tyres use HPC to increase the speed of their design and modelling.
Tread wear tests that previously took months can be carried out in minutes,
reducing the cost of testing from 40% of their R&D budget to just 15%
• Portland Cement Association has developed a virtual testing system using HPC
that reduces the need for costly and time-consuming physical testing of cement.
• Proctor & Gamble used HPC analysis to design the right geometric shape for
Pringles crisps to facilitate more efficient production and packaging.
• Bayer Schering Pharmaceutical used HPC simulations to design a device that
would speed up the treatment of stroke victims. By using simulation instead of
traditional bench testing the device could be utilised 10 months ahead of
schedule.
22. HPC on Colombia ?
Projected HPC Solution
Active HPC Solution
City University Name
Bogotá Distrital CECAD
Bogotá Javeriana ZINE
Bogotá Andes UNGrid
Bucaramanga UIS GUANE I
Manizales Caldas BIOS
Medellín Eafit Purde-Eafit
http://prezi.com/7kw64jhxrsqx/centr
os-de-supercomputacion/
23. Does the HPC only cluster?
• HPC Not Equal to Commodity Cluster
• Need Specialized architecture
• Need Some special IT skills:
• Linux + MPI + OpenMP + Tunning + debugger + parallel
paradigms
• Some tips
• “The whole is greater than the sum of its parts.”
• Researchers can shared elements
• The IT Department + Research Group = Great Team
• Link with other Success Experiences (Universities and Research
groups).
25. Good Books
• Introduction to Parallel
Computing, Second Edition.
Ananth Grama, Anshul Gupta, George Karypis,
Vipin Kumar
• An Introduction to Parallel
Programming
• High Performance Computing
Programming and Applications.
Jhon Levesque
• Parallel Programming in
OpenMP
• MPI: The Complete Reference