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  2. Roofline model - Wikipedia

    en.wikipedia.org/wiki/Roofline_model

    The work denotes the number of operations performed by a given kernel or application. [1] This metric may refer to any type of operation, from number of array points updated, to number of integer operations, to number of floating point operations (FLOPs), [2] and the choice of one or another is driven by convenience.

  3. Memory footprint - Wikipedia

    en.wikipedia.org/wiki/Memory_footprint

    During the 1990s, computer memory became cheaper and programs with larger memory footprints became commonplace. This trend has been mostly due to the widespread use of computer software, from large enterprise-wide applications that consume vast amounts of memory (such as databases), to memory intensive multimedia authoring and editing software.

  4. Algorithmic efficiency - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_efficiency

    There are many ways in which the resources used by an algorithm can be measured: the two most common measures are speed and memory usage; other measures could include transmission speed, temporary disk usage, long-term disk usage, power consumption, total cost of ownership, response time to external stimuli, etc. Many of these measures depend ...

  5. Cache performance measurement and metric - Wikipedia

    en.wikipedia.org/wiki/Cache_performance...

    The gap between processor speed and main memory speed has grown exponentially. Until 2001–05, CPU speed, as measured by clock frequency, grew annually by 55%, whereas memory speed only grew by 7%. [1] This problem is known as the memory wall. The motivation for a cache and its hierarchy is to bridge this speed gap and overcome the memory wall.

  6. Computer performance by orders of magnitude - Wikipedia

    en.wikipedia.org/wiki/Computer_performance_by...

    A zettascale computer system could generate more single floating point data in one second than was stored by any digital means on Earth in the first quarter of 2011. [ citation needed ] Beyond zettascale computing (>10 21 )

  7. Flat memory model - Wikipedia

    en.wikipedia.org/wiki/Flat_memory_model

    Flat memory model or linear memory model refers to a memory addressing paradigm in which "memory appears to the program as a single contiguous address space." [ 1 ] The CPU can directly (and linearly ) address all of the available memory locations without having to resort to any sort of bank switching , memory segmentation or paging schemes.

  8. Average memory access time - Wikipedia

    en.wikipedia.org/wiki/Average_memory_access_time

    A model, called Concurrent-AMAT (C-AMAT), is introduced for more accurate analysis of current memory systems. More information on C-AMAT can be found in the external links section. AMAT's three parameters hit time (or hit latency), miss rate, and miss penalty provide a quick analysis of memory systems. Hit latency (H) is the time to hit in the ...

  9. Memory hierarchy - Wikipedia

    en.wikipedia.org/wiki/Memory_hierarchy

    The number of levels in the memory hierarchy and the performance at each level has increased over time. The type of memory or storage components also change historically. [6] For example, the memory hierarchy of an Intel Haswell Mobile [7] processor circa 2013 is: Processor registers – the fastest possible access (usually 1 CPU cycle). A few ...