Efficient Compilation
Efficient compilation focuses on optimizing the translation of high-level program descriptions into low-level instructions for faster and more efficient execution, addressing challenges like parallelization and resource utilization. Current research emphasizes leveraging artificial intelligence, particularly deep reinforcement learning and large language models, to automate and improve code optimization strategies across diverse domains, including parallel computing, quantum computing, and neural network acceleration. These advancements are significantly impacting the performance of various applications, from scientific simulations to machine learning, by enabling faster execution and reduced resource consumption.
Papers
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