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Parallel Virtual Machine (PVM) is a software tool for parallel networking of computers. It is designed to allow a network of heterogeneous Unix and/or Windows machines to be used as a single distributed parallel processor. [2] Thus large computational problems can be solved more cost effectively by using the aggregate power and memory of many ...
emmtrix Parallel Studio is a source-to-source parallelization tool combined with an interactive GUI developed by emmtrix Technologies GmbH. It takes C, MATLAB, Simulink, Scilab or Xcos source code as input and generates parallel C code as output. It relies on static schedule and a message passing API for the parallel program.
Diagram of a symmetric multiprocessing system. Symmetric multiprocessing or shared-memory multiprocessing [1] (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all ...
Explicitly parallel instruction computing (EPIC) is like VLIW with extra cache prefetching instructions. Simultaneous multithreading (SMT) is a technique for improving the overall efficiency of superscalar processors. SMT permits multiple independent threads of execution to better utilize the resources provided by modern processor architectures.
Atanasoff–Berry computer, the first computer with parallel processing [1] Instruction-level parallelism (ILP) is the parallel or simultaneous execution of a sequence of instructions in a computer program. More specifically, ILP refers to the average number of instructions run per step of this parallel execution. [2]: 5
Exploitation of the concept of data parallelism started in 1960s with the development of the Solomon machine. [1] The Solomon machine, also called a vector processor, was developed to expedite the performance of mathematical operations by working on a large data array (operating on multiple data in consecutive time steps).
The concept of parallel computing can be applied to mD-DSP applications to exploit the fact that if a problem can be expressed in a parallel algorithmic form, then parallel programming and multiprocessing can be used in an attempt to increase the computational throughput of the mD-DSP procedure on a given hardware platform.
In parallel computing, execution occurs at the same physical instant: for example, on separate processors of a multi-processor machine, with the goal of speeding up computations—parallel computing is impossible on a single processor, as only one computation can occur at any instant (during any single clock cycle).