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This arithmetic processor was implemented by a cell-based flow and supports the basic mathematical operations, and numerical control.
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Hardware facilities include control units, arithmetic processors, storage units and input/output equipment.
As scientific computation continues to scale, it is crucial to use floating-point arithmetic processors as efficiently as possible.
Its transistors are networked to form 64-bit arithmetic processors, six of which are fit on a "multicore" chip containing, thanks to Moore's Law, 108 transistors.
Figure 12 Layout of the distributed arithmetic-based processor.
The inherent advantage of the distributed arithmetic makes our processor both area and power efficient compared with most of the existing designs.
Multiplication is an influential arithmetic operation in processor and digital signal-processing application, and thus it plays a foremost role in digital computation.
The proposed distributed arithmetic-based FFT processor results in reduced area as well as power, as the computations are distributed over many clock cycles with less hardware.
Floating point comparison is a fundamental arithmetic operation in DSP processor.
We study the performance of a lattice gas binary algorithm on a "real arithmetic" machine, a 32 processor INTEL iPSC hypercube.
The algorithms for fractal image compression impose a heavy demand on the processor's arithmetic unit and the memory interface, failing to utilize the full capabilities of a general-purpose processor.
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