Lyra2REv2 is a hashing algorithm that consists of a chain of individual hashing algorithms and it is used as a proofof-work function in several cryptocurrencies that aim to be ASICresistant. The most crucial hashing algorithm in the Lyra2REv2 chain is a specific instance of the general Lyra2 algorithm. In this work we present the first FPGA implementation of the aforementioned instance of Lyra2 and we explain how several properties of the algorithm can be exploited in order to optimize the design.
Lyra2REv2 is a hashing algorithm that consists of a chain of individual hashing algorithms, and it is used as a proofof-work function in several cryptocurrencies. The most crucial and exotic hashing algorithm in the Lyra2REv2 chain is a specific instance of the general Lyra2 algorithm. This work presents the first hardware implementation of the specific instance of Lyra2 that is used in Lyra2REv2. Several properties of the aforementioned algorithm are exploited in order to optimize the design. In addition, an FPGA-based hardware implementation of a standalone miner for Lyra2REv2 on a Xilinx Multi-Processor System on Chip is presented. The proposed Lyra2REv2 miner is shown to be significantly more energy efficient than both a GPU and a commercially available FPGA-based miner. Finally, we also explain how the simplified Lyra2 and Lyra2REv2 architectures can be modified with minimal effort to also support the recent Lyra2REv3 chained hashing algorithm.
The design of a low latency, energy-efficient selftimed L1 cache is presented. The pipeline integrates Octasic's token-based architecture and a two-phase handshake protocol derived from Click elements. Only standard flip-flops are used as state-holding elements for the pipeline control and datapath. Simulations and post-layout static timing analysis were based on a commercial 28nm bulk process. Power analysis indicates a 20% improvement in energy efficiency when compared to the previous synchronous cache for the same throughput and area.
A novel and simple algorithm capable of extracting and cancelling harmonic disturbance from signals subject to severe power line interference is presented. The key element consists of the adaptation of a filter to a deterministic harmonic reference closely correlated to the interference. The resulting signal is optimal in the mean squared error sense. Simulation results show that this carefully crafted adaptive scheme can improve by up to 30 dB the signal to interference ratio. Minimal remaining interference and fast convergence are obtained by optimisation of the algorithm's parameters.Introduction: Several filter architectures have been proposed, whether adaptive [1, 2] or not [3], in order to eliminate the narrow-band low frequency power line interference (PLI) induced by the power grid. However, few models were proposed in the literature to treat multipleodd and even -harmonic distortion and that are capable of effectively tracking its variations. Such models could be used to process magneto-inductive (MI) radio communications highly distorted signals [4] and mitigate the PLI harmonic components. This Letter presents a recently developed method capable of estimating and extracting severe PLI harmonics in an adaptive fashion using a defined harmonic reference. The proposed method's performance is demonstrated and compared to the other performing method of Ziarani and Konrad [5].
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