Examples of using Parallel computer in English and their translations into Portuguese
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The first StarLogo ran on a Connection Machine 2 parallel computer.
This is because parallel computers can be simulated on a sequential machine.
Access to top-of-the-range high-performance and parallel computer facilities.
Parallel computers can be roughly classified according to the level at which the hardware supports parallelism.
Depending on the nature of the problem,supercomputers or parallel computers may be used at this stage.
The parallel computer in the definition can be assumed to be a parallel, random-access machine PRAM.
GP-MIMD aims to support development of hardware and software environments for parallel computers.
The advantage to use parallel computer is to increase the simulated system¿s size without increase clock time.
The Parallel Programming lecture is outlining a series of programming paradigms in the context of modern parallel computer architectures.
That is a parallel computer with a central pool of memory, and any processor can access any bit of memory in constant time.
Students have access to the College's network of computers, which runs under Windows along with the new networking laboratory and new parallel computer lab.
This master thesis uses parallel computer technique to simulate high scale granular systems using molecular dynamics.
It is a crucial point that highly complex problems are brought to a less complex numerical approximation(on parallel computers) via an understanding of their mathematical core.
Recently, also motivated by a better use of parallel computers, more isotropic grids have been adopted in atmospheric global circulation models.
Parallel computer systems have difficulties with caches that may store the same value in more than one location, with the possibility of incorrect program execution.
The goal was to construct a dedicated parallel computer system for molecular simulations, based on a ring architecture.
Just as the class P can be thought of as the tractable problems(Cobham's thesis),so NC can be thought of as the problems that can be efficiently solved on a parallel computer.
High-performance computers are parallel computers composed of traditional ultra high-speed computers and multiple CPU.
Software=====Parallel programming languages===Concurrent programming languages, libraries, APIs, and parallel programming models(such as Algorithmic Skeletons)have been created for programming parallel computers.
The CS-2 scalable parallel computer was recently installed in the CERN Computing Centre(PR 10/94) as part of the ESPRIT funded European High Performance Computing initiative.
In complexity theory, the class NC(for"Nick's Class")is the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors.
Parallel computer programs are more difficult to write than sequential ones, because concurrency introduces several new classes of potential software bugs, of which race conditions are the most common.
Based on the Finite Element Machine's success in demonstrating Parallel Computing viability,(alongside ILLIAC IV andGoodyear MPP), commercial parallel computers soon were sold.
Main memory in a parallel computer is either shared memory(shared between all processing elements in a single address space), or distributed memory in which each processing element has its own local address space.
Shortening design cycles, lowering development costs andimproving quality are major goals of parallel computer simulation pursued by some hundred European organisations.
The class P, typically taken to consist of all the"tractable" problems for a sequential computer, contains the class NC,which consists of those problems which can be efficiently solved on a parallel computer.
As part of the DESIRE project, an SME, Mental Images,uses parallel computers in CAD applications to provide better visual feedback and photo realistic rendering and visualisation than was hitherto possible.
NCi is the class of decision problems decidable by uniform boolean circuits with a polynomial number of gates of at most two inputs and depth O(logi n), orthe class of decision problems solvable in time O(logi n) on a parallel computer with a polynomial number of processors.
Parallel computer programs are more difficult to write than sequential ones, because concurrency introduces several new classes of potential software bugs, of which race conditions are the most common.
He led the hardware, software and applications teams' successful development of one of NASA's 1st parallel computers, the Finite element machine and developed rapid matrix equation algorithms tailored to high-performance computers(even harnessing FPGA accelerators) to solve science and engineering applications.