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This paper describes a novel FPGA support system (FSS) that facilitates the execution of hardware-based tasks on a reconfigurable Xilinx 6264 FPGA connected to an ARM 7 processor.
Pipelining has been applied in many area to improve system performance by overlapping executions of hardware or software computing stages.
There are four distinct methods used for the execution of the hardware design commonly used in SoC verification.
TriBA is an object-oriented chip multi-processor that supports truly parallel execution of objects from hardware.
For a given task, hardware with different areas may provide different execution speeds due to the potential of parallel execution in hardware implementation.
SYMRT is built to accommodate the configuration of the execution environment in terms of hardware and JVM implementation.
This chapter investigates how the parallelism available in the problem structure can be mapped to that of the execution hardware of GPGPUs.
EADL does not dictate execution and interface semantics of hardware and software components while supporting flexible platform-oriented semantics instantiation.
Source-to-source translation is used to tailor the code and enable its execution on a variety of hardware.
In this paper, this relation is further explored, for the design of feasible IBWR scheduling algorithms, in terms of hardware implementation and execution time.
An efficient implementation should efficiently implement all these steps from the perspective of execution time, hardware resources, and robust performance.
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