Examples of using Multiprocessor in English and their translations into Serbian
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Stockfish can use up to 512 CPU threads in multiprocessor systems.
Multiprocessor support was later backported to Team Fortress 2 and Day of Defeat: Source.
Another limitation that Slot 2 overcame was the dual-SMP(symmetric multiprocessor) limit.
In contrast, a Shared Memory multiprocessor offers a single memory space used by all processors.
This increases the complexity of the CPU design but offers greater throughput as well as superior scaling in multiprocessor systems.
A modern desktop computer is often a multiprocessor MIMD computer where each processor can execute short-vector SIMD instructions.
On today's machines, the layout of processors and memory, the layout of data in memory,the communication load on the various elements of the multiprocessor architecture all influence performance.
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.
In a multiprocessor system executing a single set of instructions(SIMD), data parallelism is achieved when each processor performs the same task on different distributed data.
Manufacturers typically integrate the cores onto a single integrated circuitdie(known as a chip multiprocessor or CMP), or onto multiple dies in a single chip package.
In a multiprocessor system where each one is executing a single set of instructions, data parallelism is achieved when each processor performs the same task on different pieces of distributed data.
This simulation model, being DEVSbased, is natively object-oriented, open for communication with other models andis suitable for parallel execution in multiprocessor and distributed environments.
Nevertheless, as a rule of thumb, high-performance parallel computation in a shared-memory multiprocessor uses parallel algorithms while the coordination of a large-scale distributed system uses distributed algorithms.
In a shared memory multiprocessor system with a separate cache memory for each processor, it is possible to have many copies of shared data: one copy in the main memory and one in the local cache of each processor that requested it.
One advantage of strictly inclusive caches is thatwhen external devices or other processors in a multiprocessor system wish to remove a cache line from the processor, they need only have the processor check the L2 cache.
In computer hardware, shared memory refers to a(typically large) block of random access memory(RAM)that can be accessed by several different central processing units(CPUs) in a multiprocessor computer system.
To run safely on multiprocessor machines, access to shared resources(files, data structures etc.) must be serialized so that threads or processes do not attempt to modify the same resource at the same time.
But merely processing multiple instructions concurrently does not make an architecture superscalar,since pipelined, multiprocessor or multi-core architectures also achieve that, but with different methods.
J2 implements instructions for dynamic shift(using the SH-3 and later instruction patterns), extended atomic operations(used for threading primitives) andlocking/interfaces for symmetric multiprocessor support.
In order to run safely on multiprocessor machines, access to shared resources(like files, data structures) must be serialized so that threads or processes do not attempt to modify the same resource at the same time.
To support such agreement, concurrent data structures are implemented using special primitive synchronization operations(see synchronization primitives)available on modern multiprocessor machines that allow multiple threads to reach consensus.
The inability to run multiprocessor Pentium II systems with more than two CPUs had been the main reason for the Pentium Pro's survival in the high-end server sector, where multiple processor configurations were often required.
In 2002, gridMathematica was introduced to allow user level parallel programming on heterogeneous clusters and multiprocessor systems and in 2008 parallel computing technology was included in all Mathematica licenses including support for grid technology such as Windows HPC Server 2008, Microsoft Compute Cluster Server and Sun Grid.
The inability to run multiprocessor Pentium II systems with more than two CPUs had been the main reason for the Pentium Pro's survival in the high-end server sector, where multiple processor configurations were often required.