The World's First Petaflop SuperComputer

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Japan has developed a supercomputer that, while not officially the fastest, is expected to rank highly in the next list of the world's top 500 supercomputers. The current record for supercomputing performance is approximately 4.1 petaflops, with a recent American military supercomputer achieving over 1.026 quadrillion calculations per second. Discussions highlight the evolution of computing power, referencing the transition from teraflops to petaflops, and the implications of Moore's Law on technology advancements. The conversation also touches on the complexities of finding the largest prime number and the theoretical limits of computation, suggesting that a computer more complex than the universe may be needed for such tasks. Additionally, there are humorous remarks about the capabilities of supercomputers in everyday scenarios, reflecting on the rapid pace of technological development and its impact on computing.
  • #31
jimmysnyder said:
The largest prime is a function of time. Setting the current time to t_0, we get \epsilon(t_0) = 2^{43112609} - 1, where \epsilon > 0 is the largest prime. Now apply A. Einstein's speed limit of 300 km/s to get a upper limit for the current time (which is no longer what the current time was when I began this post), in terms of the current space. We find that for each \epsilon, there is a \delta > 0 such that |f(x) - f(y)| < \epsilon. (See Introduction to Elementary Quantum Field Theory for Poets, by Gumm, page 486257). Now we use the standard mathematician's subterfuge of allowing zero to approach \delta from behind. This sneak attack will insure that \delta is circumspect while we let \epsilon \rightarrow 0. Thus the largest prime is zero.

Fortunately the adoption of the "one,two,many,lots" counting system allows to simply state that the largest prime has the value "lots" - in fact all primes except "many" have the value "lots"
 
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  • #32
mgb_phys said:
The switching time is more a question of the capacitance of the junction which fortunately drops with feature size. Even desktop PCs now have <45nm features.

MosFets are more widely used, aren't they? There must be a rough way to characterize delay time with feature size. Something like t = f(RC+t_drift), using lumped values. What to do with power disipation--hold it constant with die area? And is there a lower bound on bias voltage for mosfets? It hadn't occurred to me to ask if there were a lower limit on flipping channel. Deposition thinkness would effect both R and C. Has it remained fairly constant as of late?
 
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