Parallel computing and its applicationsBurhan Ahmed
Parallel computing is a type of computing architecture in which several processors execute or process an application or computation simultaneously. Parallel computing helps in performing large computations by dividing the workload between more than one processor, all of which work through the computation at the same time. Most supercomputers employ parallel computing principles to operate. Parallel computing is also known as parallel processing.
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Parallel computing is computing architecture paradigm ., in which processing required to solve a problem is done in more than one processor parallel way.
Parallel computing and its applicationsBurhan Ahmed
Parallel computing is a type of computing architecture in which several processors execute or process an application or computation simultaneously. Parallel computing helps in performing large computations by dividing the workload between more than one processor, all of which work through the computation at the same time. Most supercomputers employ parallel computing principles to operate. Parallel computing is also known as parallel processing.
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@ Kindly Follow my Instagram Page to discuss about your mental health problems-
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Thank-you !
Parallel computing is computing architecture paradigm ., in which processing required to solve a problem is done in more than one processor parallel way.
Please contact me to download this pres.A comprehensive presentation on the field of Parallel Computing.It's applications are only growing exponentially day by days.A useful seminar covering basics,its classification and implementation thoroughly.
Visit www.ameyawaghmare.wordpress.com for more info
Please contact me to download this pres.A comprehensive presentation on the field of Parallel Computing.It's applications are only growing exponentially day by days.A useful seminar covering basics,its classification and implementation thoroughly.
Visit www.ameyawaghmare.wordpress.com for more info
This slide contain the description about the various technique related to parallel Processing(vector Processing and array processor), Arithmetic pipeline, Instruction Pipeline, SIMD processor, Attached array processor
pipelining is the concept of decomposing the sequential process into number of small stages in which each stage execute individual parts of instruction life cycle inside the processor.
Embarrassingly Parallel Computation for Occlusion Cullingjasinb
One of the key challenges of modern 3D game rendering engines powering the next-generation of console games is to minimize resources spent on assets that do not actually contribute to the user experience. More specifically, determining which surfaces are hidden behind (occluded by) other surfaces can be a very hard problem to solve in real-time, but will typically yield significant performance gains.
Real-time occlusion culling typically requires either a vast amount of manual labor or a computationally intensive pre-processing step. In this talk, I will show how the occluder generation step can actually be considered embarrassingly parallel, and distributed across multiple nodes accordingly. I will also discuss how this model can be further improved.
Presentation on the Data Cube vocabulary to support Linked Data publication of statistics and measurement data sets. Given at SemTech 2011, San Francisco.
The primary reasons for using parallel computing:
Save time - wall clock time
Solve larger problems
Provide concurrency (do multiple things at the same time)
Modern Computing: Cloud, Distributed, & High Performanceinside-BigData.com
In this video, Dr. Umit Catalyurek from Georgia Institute of Technology presents: Modern Computing: Cloud, Distributed, & High Performance.
Ümit V. Çatalyürek is a Professor in the School of Computational Science and Engineering in the College of Computing at the Georgia Institute of Technology. He received his Ph.D. in 2000 from Bilkent University. He is a recipient of an NSF CAREER award and is the primary investigator of several awards from the Department of Energy, the National Institute of Health, and the National Science Foundation. He currently serves as an Associate Editor for Parallel Computing, and as an editorial board member for IEEE Transactions on Parallel and Distributed Computing, and the Journal of Parallel and Distributed Computing.
Learn more: http://www.bigdatau.org/data-science-seminars
Watch the video presentation: http://wp.me/p3RLHQ-ghU
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this video from ChefConf 2014 in San Francisco, Cycle Computing CEO Jason Stowe outlines the biggest challenge facing us today, Climate Change, and suggests how Cloud HPC can help find a solution, including ideas around Climate Engineering, and Renewable Energy.
"As proof points, Jason uses three use cases from Cycle Computing customers, including from companies like HGST (a Western Digital Company), Aerospace Corporation, Novartis, and the University of Southern California. It’s clear that with these new tools that leverage both Cloud Computing, and HPC – the power of Cloud HPC enables researchers, and designers to ask the right questions, to help them find better answers, faster. This all delivers a more powerful future, and means to solving these really difficult problems."
Watch the video presentation: http://insidehpc.com/2014/09/video-hpc-cluster-computing-64-156000-cores/
Microsoft has embraced OSS by placing a big bet on Apache YARN to govern the resources of our computing clusters, and we did so by working with the community and adding many new capabilities in YARN. We now look to undertake a similar journey and build the next generation of our job execution engine on top of Apache Tez. We will be building a common platform for executing batch, interactive, ML, and streaming queries at exabyte scale for Microsoft's BigData system called Cosmos. This requires us to push the limits of Tez API to support new graph models, change the executing DAG by dynamically adding new vertices, scheduling for interactive and streaming workloads, squeeze out all the computing power in the cluster by integrating Tez with opportunistic containers in YARN, and scaling a DAG across tens of thousands of machines. We have started out on this journey and want to share our progress, lessons learned, seek help from the community to add these new capabilities, and push Apache Tez to new levels.
SPEAKERS
Hitesh Sharma, Principal Software Engineering Manager, Microsoft Engineering manager in the Big Data team at Microsoft.
Anupam, Senior Software Engineer, Microsoft
Simulation of Heterogeneous Cloud InfrastructuresCloudLightning
During the last years, except from the traditional CPU based hardware servers, hardware accelerators are widely used in various HPC application areas. More specifically, Graphics Processing Units (GPUs), Many Integrated Cores (MICs) and Field-Programmable Gate Arrays (FPGAs) have shown a great potential in HPC and have been widely mobilised in supercomputing and in HPC-Clouds. This presentation focuses on the development of a cloud simulation framework that supports hardware accelerators. The design and implementation of the framework are also discussed.
This presentation was given by Dr. Konstantinos Giannoutakis (CERTH) at the CloudLightning Conference on 11th April 2017.
This chapter discusses various classification attributed to parallel architectures. It also introduces related parallel programming models and presents the actions of these models on parallel architectures. Notions such as Data parallelism Task parallelism, Tighty and Coupled system, UMA/NUMA, Multicore computing, Symmetric multiprocessing, Distributed Computing, Cluster computing, Shared memory without thread/Thread, etc..
Policy for Tabulation of Marks for Class X Board Exams 2021 - 01/05/2021
Due to the cancellation of the Board examinations, the assessment of 80 marks will be done by the school
- based on the marks scored by the candidate in the different tests/exams conducted by the school during the year, and
- the marks should be in consonance with the past performance of the school in Class X Board examinations.
The CBSE will consider the following exams for awarding the marks to candidate
Category of Tests/Exams Maximum Marks
Periodic Test/ Unit Test 10 Marks
Half Yearly/ Mid-term
Examinations 30 Marks
Pre-Board Examinations 40 Marks
Internal assessment 20 Marks
Total 100 Marks
In case schools have conducted more than one test/exam within each category, the result committee may fix the
weightage to be given to each test/exam within the category subject to the overall maximum marks for that category.
For example, if a school has conducted two or three pre-board exams it may decide to take an average of the three
exams, take the best performance in the three tests or give a weightage to each exam as considered suitable.
CBSE Class X Result 2021: Schedule
S. No. Activity Last Date
1 Formation of Result Committee by school May 5, 2021
2 Provision of subject wise, school wise
distribution of marks as per previous Board
exams by CBSE
May 5, 2021
3 Finalization of Rationale Document May 10, 2021
4 Conduct of assessment, if any May 15, 2021
5 Finalization of result by schools May 25, 2021
6 Checking & moderation of marks by
schools
May 28, 2021
7 Submission of Marks to CBSE June 5, 2021
8 Submission of internal assessment marks June 11, 2021
9 Declaration of result by CBSE June 20, 2021
The board has asked schools to form a 8-member result committee consisting of principal and seven teachers for
finalizing the results. Five teachers from the school should be from Mathematics, Social Science, Science and two
languages, and two teachers from neighbouring schools should be co-opted by the school as the external members of the
committee.
Source: Internet
Online Examination Series (OLES) is a Multiple Choice Questions (MCQ) based
examination system. It provides an easy to use environment for both Test Conductors
and Students appearing for Examination. The main objective of OLES is to provide
all the features that an Examination System must have, with the "interfaces that don't
Scare it's Users!".
Multiprocessor system is an interconnection of two or more CPUs with memory and input-output equipment
The components that forms multiprocessor are CPUs IOPs connected to input –output devices , and memory unit that may be partitioned into a number of separate modules.
Multiprocessor are classified as multiple instruction stream, multiple data stream (MIMD) system.
Plastic bottles are certainly ubiquitous--they bring us everything from household cleaners to soft drinks to things so readily available as water. These bottles, while convenient, do have disadvantages when used on as wide a scale.
P-ISM was first featured at the 2003 ITU Telecom world held in Geneva, Switzerland
The P-ISM system was based on "low-cost electronic perception technology" produced by the San Jose, California, firm of Canesta
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
The Art Pastor's Guide to Sabbath | Steve Thomason
Parallel Computing
1. Parallel Computing
by
Vikram Singh Slathia
Dept. Computer Science
Central University of Rajasthan
2. Parallel Processing is a term used to denote a
large class of techniques that are used to
provide simultaneous data processing tasks for
the purpose of
• Save time and/or money
• Solve larger problems
Parallel computing is the simultaneous
use of multiple compute resources to solve a
computational problem
3. The Universe is Parallel
• Galaxy formation
• Planetary movement
• Weather and ocean patterns
• Tectonic plate drift
• Rush hour traffic
• Automobile assembly line
• Building a jet
• Ordering a hamburger
at the drive through.
4. Areas of Parallel Computing
• Physics – applied, nuclear, particle, condensed matter, high
pressure, fusion, photonics
• Bioscience, Biotechnology, Genetics
• Chemistry, Molecular Sciences
• Geology, Seismology
• Mechanical Engineering - from prosthetics to spacecraft
• Electrical Engineering, Circuit Design, Microelectronics
• Computer Science, Mathematics
5. Why Use Parallel
Computing?
• Save time and/or money: In theory, throwing more resources at a task
will shorten its time to completion, with potential cost savings. Parallel
computers can be built from cheap, commodity components.
• Solve larger problems: Many problems are so large and/or complex
that it is impractical or impossible to solve them on a single computer, especially
given limited computer memory.
• Better response times: As the computing tasks are engaged by a group
of processors, the tasks are completed in a smaller amount of time
6. ways to classify parallel
computers.
• One of the more widely used classifications, in
use since 1966, is called Flynn's Taxonomy
The 4 possible classifications according to Flynn’s
are :
• Single Instruction, Single Data (SISD)
• Single Instruction, Multiple Data (SIMD)
• Multiple Instruction, Single Data (MISD)
• Multiple Instruction, Multiple Data (MIMD):
7. Some basic requirements for
achieving parallel execution
• Operating system capable of managing the
multiple processors.
• Computer system/servers with built in multiple
processors and better message facilitation
among processors.
• Clustered nodes with application software,
such as Oracle RAC
9. References
Books
• The New Turing Omnibus, A. K. Dewdney, Henry Holt and Company, 1993
• Parallel Programming in C with MPI and OpenMP, Michael J. Quinn, McGraw
Hill Higher Education, 2003
• Introduction to Parallel Computing 2nd Edition , Ananth Grama , Pearson
Links
• Parallel Processing,
http://www.dba-oracle.com/real_application_clusters_rac_grid/parallel.html
• Internet Parallel Computing Archive,
• wotug.ukc.ac.uk/parallel
• Introduction to Parallel Computing,
www.llnl.gov/computing/tutorials/parallel_comp/#Whatis
