NOTE: The calculator is incomplete and additional features will be added later on. Please report any bugs or erroneous results. The true position calculator is a tool to calculate the true position of the center axis after actual measured dimensional data is entered about a manufactured feature: either a hole or a shaft. It is compared to a theoretically exact target feature as described on a technical drawing document. Please note that not all possible combination of control frame features are supported by this calculator.

The position control frame found on technical drawing documents are used to allocate an acceptable deviation to a hole or a shaft feature. One basic function of the true position tolerance is to prevent a component from forcing another component out of alignment at assembly time. It takes into consideration the allowable deviation of sizes of the relevant features of an assembly. For example: a screw that binds multiple components together. The position control frame can also be seen as a way to ensure exact positioning, within acceptable deviation limits, of multiple components of an assembly.

For example; dowel pins that slide into positioning holes. Recommended Usage Flow. • Select the type of feature; hole or shaft. • Define the feature diameter basic size and deviation. • Fill control frame data, positional diameter, boundary condition, whether the target is projected and the projected distance. • Define the primary, secondary and tertiary datum plane label identifiers.

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• Enter the target distances of the feature to the secondary and tertiary datum planes. • Select the type of measurement type that is most appropriate. • Enter the measured dimensional data. • Compute all the data entered and evaluate results. Target Feature Box.

This section is where the type, size, position and deviation allowances of the feature are defined. Feature Type: Select the type of feature that will be evaluated.

It can be a hole or a shaft. Size of the feature: 3 ways are offered to define the minimum and maximum size of the feature. These values will affect the boundary condition of the positional tolerance.

The bonus value if it applies. This is the where the actual measured size and position dimensions of the feature are entered. There are 3 ways to describe the actual size and position of the manufactured feature. 1- Basic position: - NOTE: All the dimensions are located on the primary datum plane. A) The actual diameter of the feature b) The actual distance of the center of the feature to the secondary datum plane c) The actual distance of the center of the feature to the tertiary datum plane - NOTE: The projected distance is not considered.

2- Position and feature height - 2 sets of dimensions must be entered. The first set of measurements must be taken at the primary datum plane.

The second set of dimension must be taken AT the 'feature height' distance from the primary datum. A) Feature height: The distance that the second set of measurements will be taken, and positional calculations will be applied or from which the calculated projected position will be evaluated. Measurements located on the primary datum plane. This is where all the calculated results are displayed. They are filtered depending on a combination of the target control frame inputs and the type of measurements entered. Compute button: - Evaluate entered data and update results. Results are synced with controls: Yes/No ( IMPORTANT information ) - This gives a feedback on the state if the results that are showed.

- If the result displays a ' Yes'. This means that the calculated values displayed were calculated using the unmodified values in the input fields above. - If the result displays a ' No'. This means that the values in the input fields were modified. The results displayed shows values that were calculated using a prior set of input values. NOTE Projected position are only evaluated if the type of measurements input entered are. A) Position and Feature Height b) Position and Compensated Height The results are summarized in three different value sets.

- Datum data ( this set of values is always displayed.) - Feature height data ( this set of values is not always displayed and can appear grayed out, and in such a case, are for reference only.) - Projected data ( this set of values only appears when a projected distance is selected in the target control frame.) -Datum data results a) Feature within tolerance: Yes/ No - Is the hole or shaft within tolerance. B) feature within position: Yes / No (Position + Bonus allowance) - Does the position of the center axis of the hole or shaft lie within the target position diameter including the bonus value if applicable. C) Tolerance bonus: decimal value / No bonus - Displays the amount of the bonus allowed or No bonus if not applicable.

D) actual true position: decimal value - displays the actual diameter the center axis of the hole or shaft lies on. This is a deviation from perfect 0 ( zero) position. - NOTE: (only displayed if Position and compensated height inputs were entered) e) calculated distance from primary datum plane f) calculated distance from secondary datum plane - Feature height data results: - same as 'Datum data' with the exception that the results are displayed in the reverse order. - NOTE: values grayed out ( For reference only) - The values are grayed out when a Projected target position was evaluated. These values were used to calculate the projected position. These values are not to be considered when evaluating a projected position and are for reference only. - Projected data results: a) Projection height - displays the minimum height of the projected position value.

This is the same value that was entered in the target feature control frame. B) Projection within position: Yes/ No - Is the calculated position of the calculated projection within the target position and the bonus value (if applicable).

C) Projection true position: decimal value - displays the actual diameter the center axis of the projected position lies on. This is a deviation from perfect 0 ( zero) position. D) Calculated distance from primary datum plane e) Calculated distance from secondary datum plane Further explanation on this subject will be available at later date. Mechanical Drafting & 3D Modeling SIZE.

Running independent serial calculations • • • • • Some data analyses require running a lot of similar independent serial calculations. Due to logistics in setting up these calculations, and to CHPC cluster scheduling policies, it is adviseable not to run each single calculation as a separate job. Depending on the characteristics of the calculations, strategies on how to implement them may differ.

In this page we list and detail available strategies. If the calculations take about the same time, there are many ways how to pack them into a single job. If the job runs on a single node, we can combine. On multiple nodes, similar thing may be achieved with, however, calculation distribution is easier with SLURM's option. Cee Lo Green The Lady Killer Deluxe Zip Up Waist. If the calculations have variable runtime, they need to be somehow scheduled inside of the job in order to efficiently use all available CPU cores on the allocated nodes. We have developed a mini-scheduler, called, for this purpose.

If the number of calculations is larger (>~100), we recommend to either split the into multiple jobs, or chain the calculations one after another using. The reason for this is that it takes longer to allocate a larger job, and, in case of using owner-guest queue, the chances of preemption increase as well. Finally, if there are a lot of serial calculations and unless they are very short, the (OSG) may be the best choice due to the vast amount resources the OSG provides. Below is a table that summarizes the best strategies for different types of serial calculations: About the same runtime Variable runtime Single calculation runtime ~100 calculations Single calculation runtime >15 min, multiple jobs if >~100 calculations If the calculation is thread-parallelized, it is also possible to use to submit multiple jobs at once, each occupying one full node. Independent serial calculations with similar run time Multiple calculations in the background This is the simplest way to run multiple programs within a single job, however, it works only on a single node. If we only run on a single node, the process is very simple, e.g.

In bash: #!/bin/bash for (( i=0; i. Srun multiple program configuration The --multi-prog option allows to assign each task in the job a different option. This allows to differentiate serial runs from each other and run them inside a single parallel Slurm job. This is our preferred way to launch independent serial calculations that take about the same time. A basic Slurm job script can look like this: #!/bin/sh #SBATCH -n 16 #SBATCH -N 1 #SBATCH -t 1-03:00:00 # 1 day and 3 hours #SBATCH -p CLUSTER # partition name #SBATCH -A chpc # account name #SBATCH -J my_job_name # job name srun --multi-prog my.conf Here we submit a job on one node with 16 tasks, and then run the srun with the --multi-prog option, which is followed by configuration file for the multiple programs. This file has the following three fields per line, separated by spaces: • task number • executable file • arguments to the executable file The executable arguments may be augmented by expression '%t' which gets replaced by the task number, and '%o' which gets replaced with task's offset within this range.

Please, note that if the executable is not in the default PATH (as defined when new shell is opened), the full path to this executable has to be specified. The same is true if the executable is a script that is then calling a program. Due to our modules setup, running this script will reset the module environment and as such program modules need to be loaded again inside of this script.

For example, to run quantum chemistry program Mopac, we have mopac.conf as follows: 0-11./example.sh%t Where example.sh script contains: #!/bin/tcsh module load mopac mopac example-$1.mop A complete example for using --multi-prog is described on our R documentation page. We have also developed a simpler multiple serial program launch script which can be obtained.

This script runs as many serial tasks as specified in the #SLURM -n line, each of which uses one entry from the WORKDIR and PROGRAM arrays listed, copies data from WORKDIR to unique scratch directory for each serial task and runs PROGRAM which can be the same or unique for each serial task. Independent serial calculations with variable run time submit mini-scheduler The submit program allows to run many serial calculations inside of a parallel cluster job using master-worker model.

The program is a simple MPI based scheduler which reads a list of calculations to do from a file, one per line, and runs them in parallel, filling as many calculations as there are parallel tasks. Once one calculation is finished, the worker asks for another calculation, which keeps repeating until all calculations are done. This is our preferred way to run independent serial calculations that may take different amount of time to finish, as long as there are many more calculations than job tasks, as this allows to chain the calculations one after another and fill in the resources better.

If one roughly knows the runtime of each calculation, listing them with respect to the calculation time in the descending order, the longest first, will provide the best packing of the calculations on the job tasks. For the basic documentation, example and source code see the. The submit program reads in input file called job.list, which syntax is as follows: first line - # of serial jobs to run other lines - command line for these serial jobs (including program arguments).

Make sure there is only single space between the program arguments - more that single space will break the command line. For example (for testing purpose), you can make job.list as: 4 /bin/hostname -i /bin/hostname -i /bin/hostname -i /bin/hostname -i This will run 4 serial jobs, executing the hostname command - which returns name of the node this command ran on. NOTE - since submit launches the items in job.list directly, it does not use the environment. Therefore we need to specify full path to the command, or, run a shell script (with a full path to the shell script in job.list, where the shell script initializes a new shell session with user default environment). The differentiation between different calculations can be built into the job.list through program arguments, as shown in the example below. Wojna Domowa Serial Dvd Region. A complete example using SLURM and a set of serial R calculations, similar to the srun --multi-prog example shown above, can be found on the or at /uufs/chpc.utah.edu/sys/installdir/submit/std/examples/R.