Building trusted systems on top of leaky abstractions (Virtual)
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Computing systems are required to achieve continued performance growth with a focus on security and privacy while increasing energy efficiency. To achieve this goal, we need to revisit old abstractions that exist between applications, system software, and hardware. These old abstractions have enabled independent development and optimizations within each layer. However, to achieve performance and energy efficiency required by future applications, computing systems need to unlock new opportunities for optimizations.
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Neural processing applications are widely used in many fields like vision, speech recognition and language processing to realize artificial intelligence, but they are very computationally challenging given the large scale of data. The demand for high-performance, low-power computing of these applications has led to their implementation through specialized accelerators.
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Optoelectronic devices operating in the infrared region are of utmost importance, crosscutting different fields with applications in energy harvesting, gas sensing, night vision, and medical diagnosis. Present-day infrared technologies rely on high-quality epitaxially grown semiconductors, such as III-V materials. This materials platform is incompatible with CMOS technology that underpins modern consumer electronics. Alternatives to conventional materials are expected to bring new functionalities to the consumer market.
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Just as integrated circuit technology provided a concrete basis for the microelectronics revolution, it is now poised to usher disruptive advances in photonics. Integrated photonic systems have the potential to revolutionize metrology, communication, molecular sensing, computing and atomic-photonic interfaces.
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