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Variable instruction sizes can be used as well to avoid additional NOP operations for code optimization.
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Published studies used variable instructions, encouragement, monitoring and experience of assessors.
These studies compared the effect of two sets of instructions – variable priority instructions and fixed priority instructions – on dual-task performance following the same training.
Variable length instructions can complicate instruction cache analysis because an instruction can cross a block boundary.
The architecture uses a variable length instruction set and supports dynamic instruction dispatching.
This form of prefetching is especially important for a variable length instruction set as the x86 ISA or the bytecode instructions of the Java virtual machine (JVM).
These assumptions include the change of the variable length instructions to fixed length micro-ops [9].
Accessing both memories concurrently with a clever address calculation overcomes the boundary issue for variable-sized instruction access.
Overall, the study showed that variable-priority instruction was more effective in improving both balance and physical performance under dual-task conditions than either the single-task or the fixed-priority training approaches.
Variable priority instructions required the participant to focus on one task at a time (either the postural or the cognitive task) while the fixed priority instructions required the participant to focus on both the postural and cognitive tasks at all times.
Variable priority instructions, in which participants were asked to shift their attention back and forth between tasks, appeared to be more effective for improving performance than fixed priority instructions, in which participants focused on either the postural control task or the concurrent cognitive or motor task.
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