Search Results for: boinc AND credit
In Advanced View, on the BOINC Manager, under Statistics, what do the figures on the y-axis represent?
The figures represent BOINC credits. A BOINC credit is equal to 7 Points on our website. Additional information on the BOINC Manager - Advanced view may be found here.
I have completed a result, but I have not yet received credit for it. What is going on?
BOINC does not award credit to users until the work they have performed has been successfully validated. This means that users may experience a delay in being granted credit while BOINC waits for enough results to be returned in order to perform validation.
How do I calculate my FLOPS (Floating Point Operations Per Second) based off my World Community Grid points?
BOINC provides a reference about credit and its relation to FLOPS here. However, you should know that seven (7) World Community Grid points are equal to one (1) BOINC credit.
Therefore, your total World Community Grid points divided by 700 gives you the number of GigaFLOPs and your World Community Grid points divided by 700,000 gives you the number of TeraFLOPs.
How are points calculated?
Points are calculated in a two-step process which attempts to give a consistent number of points for similar amounts of research computation. First, the computational power/speed of the computer is determined by periodically running a benchmark calculation. Then, based on the central processing unit (CPU) time spent computing the research result for a work unit, the benchmark result is used to convert the time spent on a work unit into points. This adjusts the point value so that a slow computer or a fast computer would produce about the same number of points for calculating the research result for the same work unit. This value is the number of point credits "claimed" by the client. More information about that formula is available here.
Second, research results returned to the servers are validated in a manner which depends on the research project. Then the claimed points for valid results are examined for anomalous (excessively high or low compared to other machines computing the same or equivalent work unit) values and adjusted accordingly. The servers assign the resulting adjusted point values to the member (and team) for each of the returned work units. This process eliminates the ability for malicious users to tamper with results and artificially claim higher points for their work.