Blue Gene was an IBM project aimed at designing supercomputers that can reach operating speeds in the petaFLOPS (PFLOPS) range, with relatively low power consumption. The project created three generations of supercomputers, Blue Gene/L, Blue Gene/P, and Blue Gene/Q.

Blue Gene systems have simulated radioactive decay, replicated brain power, flown airplanes, pinpointed tumors and modeled emerging climate trends. For half a century, building a powerful computer meant constructing an enormous machine that inevitably required a …

Blue Gene/Q is the third generation of massively parallel supercomputers from IBM in the Blue Gene series. This document provides an overview of components that comprise a Blue Gene/Q system.

Cyclops64 (formerly known as Blue Gene /C) is a cellular architecture in development by IBM. The Cyclops64 project aims to create the first " supercomputer on a chip". Cyclops64 is part of the Blue Gene effort, to produce the next several generations of supercomputers.

Blue Gene/Q provides a standard programming and cross compiling environment, and supports a wide range of IBM and open source software libraries and middleware.

This paper provides an overview of the Blue Gene project at IBM Research. It includes some of the plans that have been made, the intended goals, and the anticipated challenges regarding …

The IBM Blue Gene Supercomputer is a massively parallel system based on the PowerPC processor. A Blue Gene/L system at Lawrence Livermore National Laboratory held the number 1 position in the TOP500 list of fastest computers in the …

Mar 31, 2005 · The Blue Gene®/L computer is a massively parallel supercomputer based on IBM system-on-a-chip technology. It is designed to scale to 65,536 dual-processor nodes, with a peak performance of 360 teraflops.

The Blue Gene/P system is designed to scale to at least 262,144 quad-processor nodes, with a peak performance of 3.56 petaflops. More significantly, the Blue Gene/P system enables this unprecedented scaling via architectural and design choices that maximize performance per watt, performance per square foot, and mean time between failures.

This paper provides an overview of the Blue Gene project at IBM Research. It includes some of the plans that have been made, the intended goals, and the anticipated challenges regarding the scientific work, the software application, and the hardware design.