Memory-level parallelism — or MLP is a term in computer architecture referring to the ability to have pending multiple memory operations, in particular cache misses or translation lookaside buffer misses, at the same time. In a single processor, MLP may be considered a… … Wikipedia
Memory level parallelism — or MLP is a term in computer architecture referring to the ability to have pending multiple memory operations, in particular cache misses, at the same time.MLP may be considered a form of ILP, instruction level parallelism. However, ILP is often… … Wikipedia
Memory disambiguation — is a set of techniques employed by high performance out of order execution microprocessors that execute memory access instructions (loads and stores) out of program order. The mechanisms for performing memory disambiguation, implemented using… … Wikipedia
Memory coherence — is an issue that affects the design of computer systems in which two or more processors or cores share a common area of memory.[1][2][3][4] In a uniprocessor system (whereby, in today s terms, there exists only one core), there is only one… … Wikipedia
Memory architecture — describes the methods used to implement electronic computer data storage in a manner that is a combination of the fastest, most reliable, most durable, and least expensive way to store and retrieve information. Depending on the specific… … Wikipedia
Memory management unit — This 68451 MMU could be used with the Motorola 68010 A memory management unit (MMU), sometimes called paged memory management unit (PMMU), is a computer hardware component responsible for handling accesses to memory requested by the CPU. Its… … Wikipedia
Instruction level parallelism — (ILP) is a measure of how many of the operations in a computer program can be performed simultaneously. Consider the following program: 1. e = a + b 2. f = c + d 3. g = e * fOperation 3 depends on the results of operations 1 and 2, so it cannot… … Wikipedia
Data parallelism — (also known as loop level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. Data parallelism focuses on distributing the data across different parallel computing nodes. It… … Wikipedia
Task parallelism — (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors in parallel computing environments. Task parallelism focuses on distributing execution processes (threads)… … Wikipedia
Non-Uniform Memory Access — (NUMA) is a computer memory design used in Multiprocessing, where the memory access time depends on the memory location relative to a processor. Under NUMA, a processor can access its own local memory faster than non local memory, that is, memory … Wikipedia
Distributed memory — An illustration of a distributed memory system of three computers In computer science, distributed memory refers to a multiple processor computer system in which each processor has its own private memory. Computational tasks can only operate on… … Wikipedia