Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

Abstract: Today, many software applications require intensive and efficient use of available computing resources. Parallel computing is key to fully leveraging the potential of these systems. By ...

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There are two main branches of technical computing: machine learning and scientific computing. Machine learning has received a lot of hype over the last decade, with techniques such as convolutional ...

This Scientific Reports Collection welcomes original research on Distributed parallel computing. Narrative review articles are also welcomed, to our sister journal ...

Abstract: Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been a subject of continuous attention. With the gradual maturation of QC platforms, it has increasingly ...

TikTok is about as far from enterprise computing as it gets, but who isn’t watching what its fate will be in coming days? The Chinese-owned social app’s future in the U.S. still hangs in the balance.

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...

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Parallel computing continues to advance, addressing the demands of high-performance tasks such as deep learning, scientific simulations, and data-intensive computations. A fundamental operation within ...