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One exaflop is a thousand petaflops.
Somebody should. Might as well be him.
Been reading up on this. An exaflop is a lot. Looks like the Indians are making a big investment in supercomputing. Anyways, this helped me. I didn't know the dif between my IOPS and my FLOPS:
Floating-point (real numbers). The encoding scheme for floating-point numbers is more complicated than for fixed-point (integers). The basic idea is the same as used in scientific notation, where a mantissa is multiplied by ten raised to some exponent. For instance, 5.4321 × 106, where 5.4321 is the mantissa and 6 is the exponent. Scientific notation is exceptional at representing very large and very small numbers. For example: 1.2 × 1050, the number of atoms in the earth, or 2.6 × 10−23, the distance a turtle crawls in one second compared to the diameter of our galaxy. Notice that numbers represented in scientific notation are normalized so that there is only a single nonzero digit left of the decimal point. This is achieved by adjusting the exponent as needed. Floating-point representation is similar to scientific notation, except everything is carried out in base two, rather than base ten. While several similar formats are in use, the most common is ANSI/IEEE Std. 754-1985. This standard defines the format for 32-bit numbers called single precision, as well as 64-bit numbers called double precision and longer numbers called extended precision (used for intermediate results). Floating-point representations can support a much wider range of values than fixed-point, with the ability to represent very small numbers and very large numbers.
Nice break from all the Trayvon Obama crap. Thanks.