Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...
Performance prediction and design space exploration have become vital methodologies in modern computer architecture, underpinning the efficient design and optimisation of microarchitectural ...
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The uncomfortable truth behind the hype around 2D semiconductor performance
For almost two decades, scientists have been trying to move beyond silicon, the material ...
Duke engineers show how a common device architecture used to test 2D transistors overstates their performance prospects in real-world devices.
The development of computing technology in the late 18th century led to a change in computer architecture from the 1960s 2D drawing age to the present-day machine learning era, which uses algorithms, ...
Lab architecture used to test 2D semiconductors artificially boosts performance metrics, making it harder to assess whether these materials can truly replace silicon.
Computer engineers have developed a new AI method for accurately predicting the power consumption of any type of computer processor more than a trillion times per second while barely using any ...
ACM, the Association for Computing Machinery, and the IEEE Computer Society have named Margaret Martonosi, the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University, as the ...
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