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Full Discussion: Accelerated computing / GPUs
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
Old 04-13-2013
Data 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:

Image

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:

Image

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.
 

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create link(1m) 														   create link(1m)

NAME
create link - Creates a soft link and optionally specifies an expiration time and an extension time SYNOPSIS
cdscp create link link-name CDS_LinkTarget = target-name [CDS_LinkTimeout = (expiration-time extension-time)] ARGUMENTS
The full name of the soft link. The full name of the entry to which the soft link points. A date and time after which CDS checks for existence of the soft link's target and either extends or deletes the soft link. The value is specified as yyyy-mm-dd-hh:mm:ss (year- month-day-hour:minute:second). You can abbreviate this value. A period of time by which to extend the soft link's expiration time (if the server has validated that the target still exists). The value is specified as ddd-hh:mm:ss (days-hour:minute:second). You can abbreviate ths value. DESCRIPTION
The create link command creates a soft link. If you specify the CDS_LinkTimeout attribute, you must specify an expiration time and an extension time. If you omit the CDS_LinkTimeout attribute, the soft link is permanent and must be explicitly deleted. Privilege Required You must have insert permission to the directory in which you intend to create the soft link. NOTE
This command is replaced at Revision 1.1 by the dcecp command and may not be provided in future releases of DCE. EXAMPLE
The following command creates a permanent soft link named /.:/sales/tokyo/price-server that points to an object entry named /.:/sales/east/price-server. The expiration value indicates that CDS will check that the destination name /.:/sales/east/price-server still exists on June 25,1995, at 12:00 p.m. If the destination name still exists, the soft link remains in effect another 90 days. There- after, CDS will check that the destination name exists every 90 days. cdscp> create link /.:/sales/tokyo/price-server CDS_LinkTarget > = /.:/sales/east/price-server CDS_LinkTimeout =(1995-06-25-12:00:00 > = 90-00:00:00) RELATED INFORMATION
Commands: delete link(1m), list link(1m), set link(1m), show link(1m) create link(1m)
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