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Concurrent engineering (CE) or concurrent design and manufacturing is a work methodology emphasizing the parallelization of tasks (i.e. performing tasks concurrently), which is sometimes called simultaneous engineering or integrated product development (IPD) using an integrated product team approach.
Modify the manufacturing process so that steps that were previously performed in a sequence can be completed at the same time. This will help reduce manufacturing lead time, lower inventory costs through improved forecasting, and reduce safety stock requirements, among other benefits.
In digital signal processing (DSP), parallel processing is a technique duplicating function units to operate different tasks (signals) simultaneously. [1] Accordingly, we can perform the same processing for different signals on the corresponding duplicated function units.
Parallel processing may refer to: Parallel computing. Parallel processing (DSP implementation) – Parallel processing in digital signal processing;
Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .
Parallel computers can be roughly classified according to the level at which the hardware supports parallelism, with multi-core and multi-processor computers having multiple processing elements within a single machine, while clusters, MPPs, and grids use multiple computers to work on the same task. Specialized parallel computer architectures ...
Examples of distributed memory (multiple computers) include MPP (massively parallel processors), COW (clusters of workstations) and NUMA (non-uniform memory access). The former is complex and expensive: Many super-computers coupled by broad-band networks. Examples include hypercube and mesh interconnections.
In addition to the Thor master and slave nodes, additional auxiliary and common components are needed to implement a complete HPCC processing environment. Figure 3. Roxie processing cluster. The second of the parallel data processing platforms is called Roxie and functions as a rapid data delivery engine. This platform is designed as an online ...