The document discusses IBM's Blue Gene supercomputer project. The Blue Gene project aimed to build a massively parallel supercomputer to simulate protein folding through large-scale simulations. Blue Gene/L was the first computer in the Blue Gene series, designed to deliver high performance using low power. It had 65,536 compute nodes and overtook the fastest supercomputer in 2004. The Blue Gene architecture used a 3D torus network and low-power application-specific integrated circuits.
Blue Gene is a massively parallel computer being developed at the IBM Thomas J. Watson Research Center .Blue Gene represents a hundred-fold improvement on performance compared with the fastest supercomputers of today. It will achieve 1 PetaFLOP /sec through unprecedented levels of parallelism in excess of 4,0000,000 threads of execution.
Blue Gene_SM
Introduction
The word "supercomputer" entered the mainstream lexicon in 1996 and 1997 when IBM's Deep Blue supercomputer challenged the world chess champion in two tournaments broadcast around the world.
Since then, IBM has been busy improving its supercomputer technology and tackling much deeper problems.
Their latest project, code named Blue Gene, is poised to shatter all records for computer and network performance.
What is a Super Computer
A supercomputer is a computer that is at the frontline of current processing capacity, particularly speed of calculation.
Today, supercomputers are typically one-of-a-kind custom designs produced by "traditional" companies such as Cray, IBM and Hewlett-Packard, who had purchased many of the 1980s companies to gain their experience.
Why we need Super Computers
Supercomputers are very useful in highly calculation-intensive tasks such as
Problems involving quantum physics,
Weather forecasting,
Climate research,
Molecular modeling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals),
Physical simulations (such as simulation of airplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research into nuclear fusion).
Why we need Super Computers
Also, they are useful for a particular class of problems, known as Grand Challenge problems, full solution for such problems require semi-infinite computing resources.
NASA™s Linux-based Super Computer
Why Supercomputers are Fast
Several elements of a supercomputer contribute to its high level of performance:
Numerous high-performance processors (CPUs) for parallel processing
Specially-designed high-speed internal networks
Specially-designed or tuned operating systems
What is Blue gene
Blue Gene is a computer architecture project designed to produce several supercomputers that are designed to reach operating speeds in the PFLOPS (petaFLOPS = 1015) range, and currently reaching sustained speeds of nearly 500 TFLOPS (teraFLOPS = 1012).
It is a cooperative project among IBM(particularly IBM Rochester and the Thomas J. Watson Research Center), the Lawrence Livermore National Laboratory, the United States Department of Energy (which is partially funding the project), and academia.
Why Blue Gene
Blue Gene is an IBM Research project dedicated to exploring the
frontiers in supercomputing:
in computer architecture,
in the software required to program and control massively parallel systems, and
in the use of computation to advance the understanding of important biological processes such as protein folding.
Learning more about biomolecular mechanisms is expected to give medical researchers better understanding of diseases, as well as potential cures.
Why the name Blue gene
Blue - The corporate color of IBM
Gene - The intended use of the Blue Gene clusters was for Computational biology.
Blue Gene Projects
There
Blue Gene is a massively parallel computer being developed at the IBM Thomas J. Watson Research Center .Blue Gene represents a hundred-fold improvement on performance compared with the fastest supercomputers of today. It will achieve 1 PetaFLOP /sec through unprecedented levels of parallelism in excess of 4,0000,000 threads of execution.
Blue Gene_SM
Introduction
The word "supercomputer" entered the mainstream lexicon in 1996 and 1997 when IBM's Deep Blue supercomputer challenged the world chess champion in two tournaments broadcast around the world.
Since then, IBM has been busy improving its supercomputer technology and tackling much deeper problems.
Their latest project, code named Blue Gene, is poised to shatter all records for computer and network performance.
What is a Super Computer
A supercomputer is a computer that is at the frontline of current processing capacity, particularly speed of calculation.
Today, supercomputers are typically one-of-a-kind custom designs produced by "traditional" companies such as Cray, IBM and Hewlett-Packard, who had purchased many of the 1980s companies to gain their experience.
Why we need Super Computers
Supercomputers are very useful in highly calculation-intensive tasks such as
Problems involving quantum physics,
Weather forecasting,
Climate research,
Molecular modeling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals),
Physical simulations (such as simulation of airplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research into nuclear fusion).
Why we need Super Computers
Also, they are useful for a particular class of problems, known as Grand Challenge problems, full solution for such problems require semi-infinite computing resources.
NASA™s Linux-based Super Computer
Why Supercomputers are Fast
Several elements of a supercomputer contribute to its high level of performance:
Numerous high-performance processors (CPUs) for parallel processing
Specially-designed high-speed internal networks
Specially-designed or tuned operating systems
What is Blue gene
Blue Gene is a computer architecture project designed to produce several supercomputers that are designed to reach operating speeds in the PFLOPS (petaFLOPS = 1015) range, and currently reaching sustained speeds of nearly 500 TFLOPS (teraFLOPS = 1012).
It is a cooperative project among IBM(particularly IBM Rochester and the Thomas J. Watson Research Center), the Lawrence Livermore National Laboratory, the United States Department of Energy (which is partially funding the project), and academia.
Why Blue Gene
Blue Gene is an IBM Research project dedicated to exploring the
frontiers in supercomputing:
in computer architecture,
in the software required to program and control massively parallel systems, and
in the use of computation to advance the understanding of important biological processes such as protein folding.
Learning more about biomolecular mechanisms is expected to give medical researchers better understanding of diseases, as well as potential cures.
Why the name Blue gene
Blue - The corporate color of IBM
Gene - The intended use of the Blue Gene clusters was for Computational biology.
Blue Gene Projects
There
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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Content:
Introduction to green computing
Need for green computing
role of government in green computing
approaches of green computing
To be continued in my next ppt on green computing
EC8791-Embedded and Real Time Systems #7th Sem ECE #Embedded System Introduction # Embedded System Real Time Examples #Career opportunity in Embedded System Filed #Growth of Embedded System
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
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.
↓↓↓↓ Read More:
Watch my videos on snack here: --> --> http://sck.io/x-B1f0Iy
@ Kindly Follow my Instagram Page to discuss about your mental health problems-
-----> https://instagram.com/mentality_streak?utm_medium=copy_link
@ Appreciate my work:
-----> behance.net/burhanahmed1
Thank-you !
Content:
Introduction to green computing
Need for green computing
role of government in green computing
approaches of green computing
To be continued in my next ppt on green computing
EC8791-Embedded and Real Time Systems #7th Sem ECE #Embedded System Introduction # Embedded System Real Time Examples #Career opportunity in Embedded System Filed #Growth of Embedded System
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
This is a presentation on Blue Gene Technology prepared by Mohammed Talha Tabrez, CSE IVth year student at St. Martin's Engineering College, Hyderabad.
This presentation focuses mainly on three aspects of BGT, Blue Gene/L, Blue Gene/P, Blue Gene/Q.
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2. INTRODUCTION
The word "supercomputer" entered the mainstream lexicon in
1996 and 1997 when IBM's Deep Blue supercomputer challenged
the world chess champion in two tournaments broadcast around
the world.
Since then, IBM has been busy improving its
supercomputer technology and tackling much
deeper problems.
BLUE GENE is an IBM project aimed at designing
supercomputers with very high operating
speeds, with low power consumption.
3. WHAT IS A SUPERCOMPUTER?
A supercomputer is a computer that is at the frontline of current
processing capacity, particularly speed of calculation.
The history of supercomputing goes back to the 1960s
The CDC 6600, released in 1964, is generally considered the first
supercomputer.
As of June 2013, China's Tianhe-2 supercomputer is the fastest in
the world at 33.86 petaFLOPS.
4. THE BLUE GENE PROJECT
In December 1999, IBM announced a US $100 million research initiative
for a five year effort to build a massively parallel computer to be applied
in the study of biomolecular phenomena.
The project had two main goals:
to advance our understanding of the mechanism behind protein
folding via large scale simulation.
to explore novel ideas in massively parallel machine architecture
and software.
5. Major areas of investigation included:
The use of this novel platform to meet scientific goals
Making of parallel machines more usable
Achieving performance targets at reasonable cost through a novel
machine architecture.
Developed through a partnership with Lawrence Livermore National
Laboratory
6. WHY THE NAME “BLUE GENE”?
“Blue”: The corporate color of IBM
“Gene”: The intended use of the Blue Gene clusters – Computational
biology, specifically, protein folding
7. BLUE GENE/L
It is the first computer in the blue gene series.
Designed to deliver the most performance per kilowatt of power
consumed.
Intended to scale to speeds in the hundreds of TFLOPS.
In june 2004 it overtook NEC’s earth simulator as the fastest
supercomputer.
9. Blue Gene/L Architecture
Built using System on a Chip technology in which all functions of a node
(except main memory) are integrated onto a single ASIC.
Has 65,536 compute or I/O nodes, with 131,072 processors
Each node is an ASIC and each ASIC has two 700 MHz IBM PowerPC(440)
processors
Each PPC has 2 64 bit FPUs.
10. Blue Gene/L Architecture contd..
Compute nodes are packaged two per compute card, with 16 compute cards
plus up to 2 I/O nodes per node board.
There are 32 node boards per cabinet/rack.
The final configuration of BG/L had 64 such racks.
By integration of all essential sub-systems on a single chip, each Compute or
I/O node dissipates low power (about 17 watts, including DRAMs).
14. 3D TORUS NETWORK contd..
Torus n/w connects all the 65,536 compute nodes
Provides high bandwidth nearest neighbour connectivity.
Also preferred for its scalability, cost and packing consideration.
Does not require long cables, no separate switch required.
15. Torus packets – 32 bytes to 256 bytes(in increments of 32 bytes)
For routing, header includes six hint bits
Torus router consists of three major units – a processor interface,
a send unit and a receive unit.
17. PROS
Low power consumption- twice the performance per watt of a high
frequency processor
Scalable- Scalability from 1 to 64 racks (2048 to 131072 rocessors)
High processing capacity
Low cooling requirements enable extreme scale up
Centralized system management
18. CONS
Costlier – $2m per single rack
Complicated design
Maintenance is not easy
Special kind of linux kernel is required to operate
19. ACHIEVEMENTS
First supercomputer ever to run over 100 TFLOPS sustained on a
real world application, won the 2005 Gordon Bell Prize.
Till November 2007, the LLNL Blue Gene/L remained at the number
one spot as the world's fastest supercomputer.
In September 2009 president Obama recognized the blue gene
family with the National Medal of Technology and Innovation(USA)
for breakthroughs in science, energy efficiency and analytics.
20. CONCLUSION
BG/L showed that a cell architecture is feasible.
Higher performance with less power requirements
No limits to scalability of a blue gene system.
Influenced the way in which mainstream computers of the future
will be built.
Today most of the energy efficient computers in the world are built
on IBM’s supercomputer technology.