With the rise of chiplet-based computing architectures, designers must navigate the growing complexity of integrated circuit and system design. To meet demanding specifications for energy efficiency, compactness, performance and heterogeneous chiplet integration, they must also consider software workloads early in the design process. CEA proposes a set of tools to answer this challenge.
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NeuroCorgi: An application-specific integrated circuit (ASIC) for embedded AI that cuts power consumption 1,000-fold
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The “VXP” is an extended precision computing accelerator developed by CEA-List that speeds up scientific computing by a factor typically ranging from 3 to 10 or even more.
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CEA-List provides strategic support to the Software Heritage Foundation, a multi-stakeholder nonprofit that is building a universal software archive.
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The CEA-List will participate in the 33rd International Conference on Software and Knowledge Engineering (SEKE 2021) which will be held online from 1 to 10 July 2021.
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