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The FORTH words (routines) that access memory are usually some form of @ "fetch from memory" and ! "store to memory".
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Both are bit patterns strings of 0s and 1s that may be interpreted either as data or as program instructions, and both are fetched from memory by the CPU.
While one instruction is being executed, another can obtain its operands, a third can be decoded, and a fourth can be fetched from memory.
If the next instruction in the pipeline happens to be one that can be executed very quickly, the one following already is in the pipeline and need not be fetched from memory.
Data and instructions will have to be fetched from memory, resulting in memory bus usage.
This allows an entire node to be fetched from memory in one memory access, accelerating the traversal of the structure.
It should be noted that for each input sample, two consecutive LUT entries must be fetched from memory and interpolated to compute the complex-gain.
Due to the significant memory access requirement for video encoding tasks, a large amount of clock cycles is consumed by the processing core while waiting for the data fetch from local memory spaces.
We consider architectures that admit a multi-core computation fabric, having its own fast and small memory to which the data blocks to be processed are fetched from external memory using a DMA (direct memory access) engine, employing a double- or multiple-buffering scheme to avoid processor idling.
Additionally, it would not improve the performance as reading from the constant memory space requires a fetch from the off-chip memory to cache the value of the current observation (like the current fetch from the global memory to the shared memory), and the access time of the constant cache is similar to the access time of the shared memory.
Yet processing large amounts of data uses lots of energy and can be slow because the computer chips have to continually fetch data from memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com