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Jürgen Sü[email protected]
Supplementary Material: http://www.fli-leibniz.de/www_bioc/3D/
- 2013 -
3D Structures of Biological MacromoleculesFloating Point Operations
and Benchmarking of Computer Performance
Leibniz Institute for Age Research, Fritz Lipmann Institute,Jena Centre for Bioinformatics
Jena / Germany
Floating Point Operation
- A Floating Point Operation is a mathematical operation with floating point numbers.
- Floating point number: 23.452 = 23452 x 10-3
significant digits x base exponent
- They cover easily extremely large number ranges between astronomy and particle physics.
- A Floating Point Unit is a part of a computer system specifically designed to carry out operations on floating point numbers.
- FLOPS is in computing to a measure of computer performance - -floating point operations per second (note plural and per second).
Floating Point Operation
Name FLOPS
yottaFLOPS 1024
zettaFLOPS 1021
exaFLOPS 1018
petaFLOPS 1015
teraFLOPS 1012
gigaFLOPS 109
megaFLOPS 106
kiloFLOPS 103
Floating Point Operation – Theoretical Peak Performance
GFLOPS = (CPU-Takt in GHz) × (Anzahl der CPU-Kerne) × (CPU-Instruktionen pro Takt) × (Anzahl der CPU im Rechnerknoten)
Beispiel: Zwei Sockel-Server mit 8 Kernen und einer Taktfrequenz von 2.6 GHzund 8 Instruktionen per Zyklus (z.B. Intel E5-2600-Reihe)
GFLOPS = 2.6 x 8 x 8 x 2 = 332.8 GFLOPS
Adjusted Peak Performance is significantly lower.
Benchmarking
LINPACK – software library for performing numerical linear algebra on computers,is now widely used for measuring computer performance
Linpack Benchmark - Java Version´- (http://www.netlib.org/benchmark/linpackjava/)
The problem solved is a dense 500x500 system of linear equations with one right hand side, Ax=b. The matrix is generated randomly and the right hand side is constructed so the solution has all components equal to one.
800 – 1100 Mflops/s
TOP500 List
Measured in Pflops.
TOP500 List
