Ali Hassan El Moussawi

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Many embedded processors do not support floating-point arithmetic in order to comply with strict cost and power consumption constraints. But, they generally provide support for SIMD as a mean to improve performance for little cost overhead. Achieving good performance when targeting such processors requires the use of fixed-point arithmetic and efficient(More)
Newly introduced ARM-based FPGA platforms enable transparent hardware/software multithreading by providing cache-coherent memory accesses to hardware accelerators. However, the lack of support for virtual memory on the accelerator side hinders the use of off-the-shelf software stacks, such as offered by a Linux-based system, which limits their applicability(More)
Many embedded processors do not support floating-point arithmetic. But they generally provide support for SIMD as a mean to improve performance for near-zero cost overhead. Achieving good performance when targeting such processors requires the use of fixed-point arithmetic and efficient SIMDization. To reduce applications time-to-market, automatic(More)
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