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—As technology continues to scale down, NAND Flash memory has been increasingly relying on error-correction codes (ECCs) to ensure the overall data storage integrity. Although advanced ECCs such as low-density parity-check (LDPC) codes can provide significantly stronger error-correction capability over BCH codes being used in current practice, their(More)
—Signal detector is a key element in a multiple-input multiple-output (MIMO) wireless communication receiver. It has been well demonstrated that nonlinear tree search MIMO detectors can achieve near-optimum detection performance, nevertheless their efficient high-speed VLSI implementations are not trivial. For example, the hardware design of hard-or(More)
Due to its great scalability potential, phase change memory has become a topic of great current interest. However, high write energy consumption appears to be one of the biggest challenges to be tackled before phase change memory can be adopted as a mainstream memory technology. This paper presents architecture level technique to reduce phase change memory(More)
Recently a novel algorithm transformation was proposed to reduce the critical path of Berlekamp-Massey algorithm implementation for errors-alone Reed-Solomon decoding. In this paper, we apply the same methodology to transform the Berlekamp-Massey algorithm for errors-and-erasures RS decoding. We present a regular hardware architecture to implement the(More)
This paper advocates a device-aware design strategy to improve various NAND flash memory system performance metrics. It is well known that NAND flash memory program/erase (PE) cycling gradually degrades memory device raw storage reliability, and sufficiently strong error correction codes (ECC) must be used to ensure the PE cycling endurance. Hence, memory(More)
—It has been recently demonstrated that digital signal processing systems may possibly leverage unconventional voltage overscaling (VOS) to reduce energy consumption while maintaining satisfactory signal processing performance. Due to the computation-intensive nature of most signal processing algorithms, the energy saving potential largely depends on the(More)