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Media encoding, memory access speeds, 2D and 3D graphical tasks, everything was improved by huge margins.
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However, on the other hand, the memory size of a specific memory type is inversely proportional to its memory access speed.
Even if the data fits into the system memory, CPU can process data at a much faster rate than the memory access speed which makes memory access a bottleneck.
Like many applications in computational science, the Smith Waterman algorithm is constrained by the memory access speed and can be accelerated significantly by using graphics processors (GPUs) as the compute engine.
The global memory access speed is due to the DRAM used being off chip, so although it is still on the GPU mainboard, the latency can be up to a few hundred clock cycles.
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed processing.
It is agreed that caches are mandatory to bridge the gap between processor speed and memory access time.
The pixel data can also be accessed in a random access fashion through a parallel memory access interface at a desired speed.
The captured pixel values are then accessed by the image processor at a random fashion through a parallel memory access interface at a desired speed for further processing.
A second ANOVA with reaction times to correctly recognized old words as the dependent variable was performed to assess the speed of memory access as a function of Prosody and Sex.
If the size of layout is so large that it cannot fit entirely into available main memory, the main performance bottleneck is communication between internal memory and the external memory due to the slow access speed of external memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com