Auflistung nach Schlagwort "In-Memory Computing"
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- TextdokumentPattern based decision tree analysis for risk detection in smart cities(INFORMATIK 2017, 2017) Scholz, Matthias; Piller:, GuntherIncreasing amounts of data on living environments and human interactions are becoming available. Their potential for valuable services improving the wellbeing of individuals is large and growing. This calls for an investigation of algorithms and system architectures that support possible use cases. In this paper we outline how pattern based decision tree analyses can be applied to the identification of risks caused by time-dependent effects from multiple influencing factors. For this purpose we apply the method to open data on car accidents and weather conditions. We also show how such systems can take advantage from up-to-date in-memory technology.
- ZeitschriftenartikelUnlocking approximation for in-memory computing with Cartesian genetic programming and computer algebra for arithmetic circuits(it - Information Technology: Vol. 64, No. 3, 2022) Froehlich, Saman; Drechsler, RolfWith ReRAM being a non-volative memory technology, which features low power consumption, high scalability and allows for in-memory computing, it is a promising candidate for future computer architectures. Approximate computing is a design paradigm, which aims at reducing the complexity of hardware by trading off accuracy for area and/or delay. In this article, we introduce approximate computing techniques to in-memory computing. We extend existing compilation techniques for the Programmable Logic in-Memory (PLiM) computer architecture, by adapting state-of-the-art approximate computing techniques for arithmetic circuits. We use Cartesian Genetic Programming for the generation of approximate circuits and evaluate them using a Symbolic Computer Algebra-based technique with respect to error-metrics. In our experiments, we show that we can outperform state-of-the-art handcrafted approximate adder designs.