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In computer architecture, frequency scaling (also known as frequency ramping) is the technique of increasing a processor's frequency so as to enhance the performance of the system containing the processor in question. Frequency ramping was the dominant force in commodity processor performance increases from the mid-1980s until roughly the end ...
By the time the x86 CPU shortage was over, AMD had developed and released revised members of the K6 family. These K6-2+ and K6-III+ variants were specifically designed as low-power mobile (laptop) CPUs, and significantly marked the transition of the K6 architecture (and foretold of AMD's future K7 project) to the new 180 nm production process.
The purpose of overclocking is to increase the operating speed of a given component. [3] Normally, on modern systems, the target of overclocking is increasing the performance of a major chip or subsystem, such as the main processor or graphics controller, but other components, such as system memory or system buses (generally on the motherboard), are commonly involved.
Turbo Core 2 performance boost to increase clock frequency up to 500 MHz with all threads active (for most workloads) and up to 1 GHz with the half of the thread active, within the TDP limit. [25] The chip operates at 0.775 to 1.425 V, achieving clock frequencies of 3.6 GHz or more [20] Min-Max TDP: 25 – 140 watts
Typically a fan can be driven between about 30% and 100% of the rated fan speed, using a signal with up to 100% duty cycle. The exact speed behavior at low control levels (linear, off until a threshold value, or a minimum speed until a threshold) is manufacturer dependent.
Amdahl's Law demonstrates the theoretical maximum speedup of an overall system and the concept of diminishing returns. Plotted here is logarithmic parallelization vs linear speedup. If exactly 50% of the work can be parallelized, the best possible speedup is 2 times.
Both dynamic voltage scaling and dynamic frequency scaling can be used to prevent computer system overheating, which can result in program or operating system crashes, and possibly hardware damage. Reducing the voltage supplied to the CPU below the manufacturer's recommended minimum setting can result in system instability.
LINPACK was designed to help users estimate the time required by their systems to solve a problem using the LINPACK package, by extrapolating the performance results obtained by 23 different computers solving a matrix problem of size 100. This matrix size was chosen due to memory and CPU limitations at that time: