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In fixed-point representation, memory and bus widths are smaller, leading to definitively lower cost and power consumption.
In fixed-point architectures, memory and bus widths are smaller, leading to a definitively lower cost and power consumption.
The authors of [5, 8] target the combined optimization problem of memory and bus partitioning for multi-master, multi-memory systems.
The second consists in the implementation of a proper buffer hierarchy to reduce memory and bus power consumption in the HW SW communication.
Despite efforts to speed it up, it remains a major bottleneck in the handling of data, which must travel back and forth between the memory and bus during the computing process.
It is well known that modern computer usually makes use of the so-called von Neumann architecture that consists of three main components [2], i.e. processor, main memory, and bus, as shown in Fig. 1.
Similar(53)
The computation resources (e.g., CPU clock, memory size, and bus width) are limited for the onboard data processing.
This paper studies the impact of hardware capacity, reconfiguration time, memory organisation, and bus bandwidth on the performance achieved by FPGA-based systems.
The AADL model describes also the hardware of the physical target platform: the processor, the memory, and the bus entity which are necessary to processes and threads execution.
This paper shows the importance of having a good combination of memory and peripheral bus chipset, Ethernet Interface, CPU power, good driver, and operating system designs and proper configuration to achieve and sustain gigabit transfer rates.
Such a system consists of biological parts building an input / output device, an arithmetic logic unit, a control unit, memory, and wires (busses) to interconnect these components.
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