The first example of automatic multithreading is using WaveStats where the default execution involves at least two automatic multithreading steps. They are presented in the order of increasing complexity. Here are three examples of automatic multithreading. In Igor Pro operations and functions that support automatic multithreading, we wrote the code so that Igor may perform the calculations using a single or multiple threads depending on the size of the data. In practice, the actual performance increase is usually lower than N-fold because it takes time to set up a thread (moving instructions to each core's instructions cache and moving data to each core's data cache). However, the same one-step multithreading approach can't be used to sort the wave or even to calculate any statistical moment higher than the mean. When all threads complete their execution you can combine the various segment sums into a grand sum for the whole wave. If you have a very long wave you can divide it into N segments and have each segment summed by a separate thread. A basic code snippet might look like this: Consider for example the simple task of computing the sum of wave data. It is easy to see that not all tasks lend themselves to multithreading. Note that N is at least as large as the number of cores but could be larger with hyper-threading or similar technology. Here N is the number of threads that can run concurrently on your computer. Theoretically, such distribution of processing could, at most, achieve an N-fold performance increase. Ideally, your program would split any task into multiple threads so that all available cores work simultaneously to complete the task. Each core can execute program code in an independent sequence of instructions known as a thread. Most modern computers contain two or more central processing units or cores. In this blog post I'll examine the benefits of automatic multithreading and discuss some limits of this technology. Wide-Angle Neutron Spin Echo SpectroscopyĪ number of operations in Igor Pro 7 contain code that automatically executes using multiple execution threads.Previously, the sticks were drawn one pixel wide. In Sticks to Zero and Sticks and Markers graph modes setting the line size to zero now properly hides the sticks.When deleting an object using the Data Browser fails, the Show Where Object Is Used dialog is only made available if the object that could not be deleted is a wave.Fixed problems in the Find in Multiple Windows dialog that could lead to a crash, especially if you cancelled a search that is in progress.Fixed incorrect handling of undo information for GraphWaveEdit when the graph in question is a graph subwindow.Fixed failure to properly generate recreation macro for a trace with gradient fill that has many waypoints added with ModifyGraph gradientExtra keyword.The Edit Fit Function dialog no longer eliminates the ThreadSafe keyword if you edit a threadsafe fit function.The Edit Fit Function dialog no longer inserts blank lines if you edit a function containing your own comment lines. Dragging an annotation in a Gizmo 3D plot window no longer shows the dragged annotation in the wrong place.Fixed behavior of column width control in Modify Columns dialog. The SaveData operation when saving to packed experiment files can now save waves greater than 2GB in size.In APFS, it caused long procedure file names to be truncated on save. Macintosh: Fixed a bug that became symptomatic with Apple's new APFS file system.
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