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Over the past few years, the powerful computation rates and high memory bandwidth of GPUs have attracted efforts to run raytracing on GPUs.
The computation rates available in hardware have been outpacing the memory access rates, and texture systems are becoming constrained by memory bandwidth and latency.
Linear complexity, fast computation rates, and parallel scalability are achieved using recently developed fast multipole methods for difference equations.
Due to the growing computation rates of intensive signal processing applications, using Multiprocessor System on Chip (MPSoC) becomes an incontrovertible solution to meet the functional requirements.
In such systems, multi-core processors (CPU) provide high computation rates while the reconfigurable logic (FPGA) offers high performance and adaptability to the application real-time constraints.
However, certain applications require the use of dedicated hardware to achieve high computation rates and low power.
Similar(53)
The system employs CUDA Computing Unified Device Architecturee) parallel computing for the improvement of computation rate, uses NetCDF (Network Common Data Form) file format for data access and applies GPU programming technology to realize fast volume rendering of marine water environmental factors.
Sophisticated parallel computing system necessitates solving the bus contention in a most efficient manner with high computation rate.
Artificial neural network (ANN) has become very popular in many control applications due to their high computation rate and ability to handle nonlinear functions.
SRD-CP framework is empirically evaluated using the dataset and is shown to be significantly more efficient in terms of document association level computation rate, processing time and user result retrieval rate.
At this point, the CUDA SDK algorithm was a limiting factor and subsequently in order to achieve the highest computation rate, a new algorithm was developed.
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