Accelerated computing / GPUs Post: 302793751

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Special Forums UNIX and Linux Applications High Performance Computing Accelerated computing / GPUs Post 302793751 by figaro on Saturday 13th of April 2013 12:08:02 PM

04-13-2013

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Accelerated computing / GPUs

There are plenty of sources that explain the performance per watt of a computer. However, I wanted to investigate how accelerated computer components (notably GPUs) have become more efficient at a lower price over the years. I have thus defined a metric: performance per watt per price-unit, and plotted these by launch date and launch price.
The results are as follows:

Notes:

GFLOPS are single precision
Prices are in euro as they were approximately at launch date; if no launch price is known, it has not been proxied with a current price and no plot point is shown
Data taken mostly from Comparison of Nvidia graphics processing units - Wikipedia, the free encyclopedia and collection started from the advent of multi-core GPU architectures. The choice of Nvidia was made, because of our professional interest in deploying CUDA and does not constitute an endorsement.
Data is on retail components as opposed to OEM components.
Launch prices are often artificially high, because it is the feature set that appeals to the enthusiasts who are also the first movers. The price degradation over time (loosely 10% per year) has not been taken into account.
The last two plot points are the GeForce GTX Titan and GeForce GTX 650 Ti Boost.

So while performance per watt has increased more than 5-fold over the observed period, the performance per watt per price-unit has not kept up accordingly: almost 4-fold.

In fact, there is even an inverse relationship between the number of cores and the performance metric:

Perhaps the high end cards do not drop in price as much and maintain their price level at launch to finance the development of the lower end cards.

figaro

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