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Blue Gene Technology Full Seminar Report Download
#1

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Presented By:
Shikha Mulley

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 are four Blue Gene projects in development:
- Blue Gene/L,
- Blue Gene/C,
- Blue Gene/P, and
- Blue Gene/Q.
Blue Gene/L

The first computer in the Blue Gene series, is Blue Gene/L.
It is developed through a partnership with Lawrence Livermore National Laboratory (LLNL).
The term Blue Gene/L sometimes refers to the computer installed at LLNL; and sometimes refers to the architecture of that computer.
As of November 2006, there are 27 computers on the Top500 list using the Blue Gene/L architecture.
Blue Gene/L Super Computer
History of Blue gene/L
In December 1999, IBM announced a $100 million research initiative for a five-year effort to build a massively parallel computer, to be applied to the study of biomolecular phenomena.
The project has two main goals:
- to advance understanding of the biomolecular mechanisms via large-scale simulation, and
- to explore novel ideas in massively parallel machine architecture and software
History of Blue gene/L
In November 2001, Lawrence Livermore National Laboratory joined IBM as a research partner for Blue Gene.
Blue Gene/L is also the first supercomputer ever to run over 100 TFLOPS sustained on a real world application.
This achievement won the 2005 Gordon Bell Prize.
In November 2007, the LLNL Blue Gene/L remained at the number one spot as the world's fastest supercomputer.
Blue Gene/L Architecture

Each compute node has two 700MHz PowerPC 440 embedded processors
Each of the dual processors on the compute node has two "floating point units (FPU)," engines for performing mathematical calculations.
The dual FPUs give each Blue Gene/L node a theoretical peak performance of 5.6GFLOPS (gigaFLOPS).
Blue Gene/L Architecture

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.
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).
One Blue Gene/L nodeboard
Blue Gene/C (Cyclops64)
Blue Gene/C (now renamed to Cyclops64) is a sister-project to Blue Gene/L.
It is a massively parallel, supercomputer-on-a-chip cellular architecture.
The Cyclops64 project aims to create the first "supercomputer on a chip".
Blue Gene/C (Cyclops64)
Cyclops64 exposes much of the underlying hardware to the programmer, allowing the programmer to write very high performance, finely tuned software.
One negative consequence is that efficiently programming Cyclops64 is difficult.
The theoretical peak performance of a Cyclops64 chip is 80 gigaflops
Blue Gene/P
On June 26, 2007, IBM unveiled Blue Gene/P, the second generation of the Blue Gene supercomputer.
Designed to run continuously at 1PFLOPS (petaFLOPS), it can be configured to reach speeds in excess of 3 PFLOPS.
It is at least seven times more energy efficient than any other supercomputer, accomplished by using many small, low-power chips connected through five specialized networks.
Blue Gene/P Architecture
Four 850 MHz PowerPC 450 processors are integrated on each Blue Gene/P chip.
The 1-PFLOPS Blue Gene/P configuration is a 294,912-processor, 72-rack system harnessed to a high-speed, optical network.
Blue Gene/P can be scaled to an 884,736-processor, 216-rack cluster to achieve 3-PFLOPS performance.
A standard Blue Gene/P configuration will house 4,096 processors per rack.
Blue Gene/Q

The last known supercomputer design in the Blue Gene series, Blue Gene/Q is aimed to reach 20 Petaflops in the 2011 time frame.
It will continue to expand and enhance the Blue Gene/L and /P architectures with higher frequency at much improved performance per watt.
Conclusion

President Obama recognized IBM and its Blue Gene family of supercomputers with the National Medal of Technology and Innovation.
The influence of the Blue Gene supercomputer's energy-efficient design and computing model can be seen today across the Information Technology industry.
Today, 18 of the top 20 most energy efficient supercomputers in the world are built on IBM high performance computing technology.
Conclusion

Blue Gene has some unusual features, but IBM has tried as much as possible to anchor the system to more mainstream technology.
Blue Gene would influence the way in which mainstream computers of the future are built.
Staying on the beaten path is the best way to take advantage of technology that's improving fastest, and it also makes it easier to create products out of the Blue Gene research.
Thank U !!
read more
https://asc.llnl.gov/computing_resources...ftware.pdf
http://nersc.gov/news/reports/bluegene.php

please read http://seminarsprojects.net/Thread-blue-...t-download and http://seminarsprojects.net/Thread-ibm-b...ars-report for getting report and presentation of the Blue Gene Technology
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#2
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Abstract
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. The Blue Gene project has two important goals, in which understanding of biologically import processes will be advanced, as well as advancement of knowledge of cellular architectures (massively parallel system built of single chip cells that integrate processors, memory and communication), and of the software needed to exploit those effectively. This massively parallel system of 65,536 nodes is based on a new architecture that exploits system-on-a-chip technology to deliver target peak processing power of 360 teraFLOPS (trillion floating-point operations per second). The machine is scheduled to be operational in the 2004-2005 time frame, at price/performance and power consumption/performance targets unobtainable with conventional architectures.
Chapter 1: INTRODUCTION
In November 2001 IBM announced a partnership with Lawrence Livermore National Laboratory to build the Blue Gene/L (BG/L) supercomputer, a 65,536-node machine designed around embedded PowerPC processors. Through the use of system-on-a-chip integration coupled with a highly scalable cellular architecture, Blue Gene/L will deliver 180 or 360 Teraflops of peak computing power, depending on the utilization mode. Blue Gene/L represents a new level of scalability for parallel systems. Whereas existing large scale systems range in size from hundreds to a few of compute nodes, Blue Gene/L makes a jump of almost two orders of magnitude. Several techniques have been proposed for building such a powerful machine. Some of the designs call for extremely powerful (100 GFLOPS) processors based on superconducting technology. The class of designs that we focus on use current and foreseeable CMOS technology. It is reasonably clear that such machines, in the near future at least, will require a departure from the architectures of the current parallel supercomputers, which use few thousand commodity microprocessors. With the current technology, it would take around a million microprocessors to achieve a petaFLOPS performance. Clearly, power requirements and cost considerations alone preclude this option. The class of machines of interest to us use a processorsin- memory design: the basic building block is a single chip that includes multiple processors as well as memory and interconnection routing logic. On such machines, the ratio of memory-to-processors will be substantially lower than the prevalent one. As the technology is assumed to be the current generation one, the number of processors will still have to be close to a million, but the number of chips will be much lower. Using such a design, petaFLOPS performance will be reached within the next 2-3 years, especially since IBM hasannounced the Blue Gene project aimed at building such a machine. The system software for Blue Gene/L is a combination of standard and custom solutions. The software architecture for the machine is divided into three functional Entities arranged hierarchically: a computational core, a control infrastructure and a service infrastructure. The I/O nodes (part of the control infrastructure) execute a version of the Linux kernel and are the primary off-load engine for most system services. No user code directly executes on the I/O nodes.
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#3
Blue Gene Technology

Abstract :

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. The Blue Gene project has two important goals, in which understanding of biologically import processes will be advanced, as well as advancement of knowledge of cellular architectures (massively parallel system built of single chip cells that integrate processors, memory and communication), and of the software needed to exploit those effectively. This massively parallel system of 65,536 nodes is based on a new architecture that exploits system-on-a-chip technology to deliver target peak processing power of 360 teraFLOPS (trillion floating-point operations per second). The machine is scheduled to be operational in the 2004-2005 time frame, at price/performance and power consumption/performance targets unobtainable with conventional architectures.

Full Seminar Report Download
http://rapidsharefiles/189992219/Blue_Ge...nology.rar
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#4
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#5
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#6
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#7
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#8
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#9
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#10
hi we need to have information about Gene technology and also have information about daknet so please provide me today as soon as possible
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