Green500.org: IBM Next
Gen Blue Gene Supercomputer Prototype Judged Most Efficient
July 1, 2011
IBM supercomputer is the most energy efficient supercomputer in the
world, according to the latest Supercomputing 'Green500 List' announced
by Green500.org. A prototype of IBM's next generation Blue Gene/Q
supercomputer is #1 on the list.
The list shows that 6 of the top ten most energy efficient
supercomputers in the world are built on IBM high-performance computing
technology. The list includes supercomputers from China to Germany and
the United States that are being used for a variety of applications such
as astronomy, climate prediction and life sciences. IBM also holds over
half of the top 100 positions on this list.
Energy efficiency, including performance per watt for the most
computationally demanding workloads, has long been a core design
principle in developing IBM systems. Energy efficient supercomputers can
allow IBM clients to realize critical cost savings by lowering power
consumption, reducing expenses associated with cooling and scaling to
larger systems while maintaining an acceptable power consumption bill.
For example, for every $1 spent on electricity with the largest
petascale system on the Green500 list, clients would spend less than
$0.40 cents on a system based on IBM Blue Gene/Q (1) and would be 2.5
times more energy efficient (2).
IBM Blue Gene/Q is scheduled to be deployed in 2012 by two of the U.S.
Department of Energy's (DOE) national laboratories, Argonne National
Laboratory and Lawrence Livermore National Laboratory, both of which
collaborated closely with IBM on the design of Blue Gene, influencing
many aspects of the system's software and hardware.
Columbia University and the University of Edinburgh contributed to Blue
Gene/Q's processor chip design. Both institutions plan to use the system
to advance quantum chromodynamics (QCD), which is a part of the study of
offers the broadest range of supercomputers represented on the Green500
List including Blue Gene, Power Systems, System x iDataPlex, BladeCenter
and hybrid clusters.
IBM supercomputer also topped the Graph500 list, announced last week.
Backed by a steering committee of over 30 international HPC experts from
academia, industry, and national laboratories, the Graph 500 is a set of
large-scale benchmarks for data intensive applications – an important
metric as information increases exponentially.
Argonne National Lab's Blue Gene/P supercomputer "Intrepid" is #1 on the
list after analyzing the largest graph ever on a parallel machine. Graph
algorithms are a core part of many analytics workloads. The Blue
Gene/P-based "Jugene" supercomputer at the Juelich Supercomputing Centre
is #2 on the Graph500.