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2. 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.

3. CPU cache - Wikipedia

   en.wikipedia.org/wiki/CPU_cache

   A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory. [1] A cache is a smaller, faster memory, located closer to a processor core , which stores copies of the data from frequently used main memory locations .

4. Pipeline burst cache - Wikipedia

   en.wikipedia.org/wiki/Pipeline_burst_cache

   A cache memory is basically developed to increase the efficiency of the system and to maximise the utilisation of the entire computational speed of the processor. [2] The performance of the processor is highly influenced by the methods employed to transfer data and instructions to and from the processor.

5. C dynamic memory allocation - Wikipedia

   en.wikipedia.org/wiki/C_dynamic_memory_allocation

   If there is no free space left to satisfy the request, dlmalloc tries to increase the size of the heap, usually via the brk system call. This feature was introduced way after ptmalloc was created (from v2.7.x), and as a result is not a part of glibc, which inherits the old best-fit allocator.

6. Computer performance - Wikipedia

   en.wikipedia.org/wiki/Computer_performance

   A CPU designer is often required to implement a particular instruction set, and so cannot change N. Sometimes a designer focuses on improving performance by making significant improvements in f (with techniques such as deeper pipelines and faster caches), while (hopefully) not sacrificing too much C—leading to a speed-demon CPU design.

7. Space–time tradeoff - Wikipedia

   en.wikipedia.org/wiki/Space–time_tradeoff

   A space–time trade off can be applied to the problem of data storage. If data is stored uncompressed, it takes more space but access takes less time than if the data were stored compressed (since compressing the data reduces the amount of space it takes, but it takes time to run the decompression algorithm). Depending on the particular ...