Examples of using Distributed memory in English and their translations into Serbian
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Multiprocessor systems with distributed memory.
Distributed memory uses message passing.
Redis when we need more than a distributed memory cache.
Distributed memory systems have non-uniform memory access.
SPMD usually refers to message passing programming on distributed memory computer architectures.
Distributed memory machines may have hypercube or mesh interconnection schemes.
MIMD machines can be of either shared memory or distributed memory categories.
Since we are on a distributed memory machine, each processor has a different address space.
From a programmer's point of view,this memory model is better understood than the distributed memory model.
A distributed memory computer consists of a collection of independent computers, called nodes.
In distributed computing,each processor has its own private memory( distributed memory).
In distributed memory MIMD machines, each processor has its own individual memory location.
The world's fastest machine in 2011 was the K computer which has a distributed memory, cluster architecture.[9].
The key issue in programming distributed memory systems is how to distribute the data over the memories. .
When implemented in the operating system, such systems are transparent to the developer;which means that the underlying distributed memory is completely hidden from the users.
In an MIMD distributed memory machine with a mesh interconnection network, processors are placed in a two-dimensional grid.
The most common are based on shared memory, distributed memory with message passing, or a hybrid of the two.
Distributed memory is the programming style used on parallel supercomputers from homegrown Beowulf clusters to the largest clusters on the Teragrid.
The particular configuration discussed here consists of a distributed memory system where each processor has its own private local memory space.
Distributed memory refers to the fact that the memory is logically distributed, but often implies that it is physically distributed as well.
The alternatives to shared memory are distributed memory and distributed shared memory, each having a similar set of issues.
Two known disadvantages are: scalability beyond thirty-two processors is difficult, andthe shared memory model is less flexible than the distributed memory model.
The advantage of distributed memory is that it excludes race conditions, and that it forces the programmer to think about data distribution.
These can generally be divided into classes based on the assumptions they make about the underlying memory architecture-shared memory, distributed memory, or shared distributed memory.
In computer science, distributed memory refers to a multiple-processor computer system in which each processor has its own private memory. .
The TOP500 organization's semiannual list of the 500 fastest supercomputers often includes many clusters,e.g. the world's fastest machine in 2011 was the K computer which has a distributed memory, cluster architecture.
Unlike sparse distributed memory which operates on 1000-bit addresses, semantic hashing works on 32 or 64-bit addresses found in a conventional computer architecture.
As an example, if a problem can be described as a pipeline where data x is processed subsequently through functions f, g, h, etc.(the result is h( g( f( x)))),then this can be expressed as a distributed memory problem where the data is transmitted first to the node that performs f that passes the result onto the second node that computes g, and finally to the third node that computes h.
In a distributed memory system there is typically a processor, a memory, and some form of interconnection that allows programs on each processor to interact with each other.
A distributed computer(also known as a distributed memory multiprocessor) is a distributed memory computer system in which the processing elements are connected by a network.