-
Multidimensional query processing algorithm by dimension transformation | Scientific Reports
Multidimensional query processing is an important access pattern for multidimensional scientific data. We propose an in-memory multidimensional query processing algorithm for dense data using a higher-dimensional array. We developed a new array system namely a Converted two-dimensional Array (C2A) of a multidimensional array of dimension n ( $$n > 2$$ ) where the n dimensions are transformed into 2 dimensions. Using the C2A, we design and analyze less complex algorithms that show improve perform
넶0 2025-02-24 -
处理器的并行总结_空间并行-CSDN博客
文章浏览阅读3.4k次。本文探讨了处理器性能提升的主要方法——并行计算，包括时间并行和空间并行。空间并行的三种形式——指令并行、数据并行和线程并行中，指令并行和数据并行主要由硬件和编译器实现，而线程并行则更多依赖程序员。随着处理器设计和程序设计的发展，线程并行因其更大的并行空间成为未来重点。
넶0 2025-02-24 -
What drives progress in AI? Trends in Compute
In this article, we provide a high-level overview of another key trend in AI models: that progress in hardware underpins further improvements in AI systems. This is the third in a series of articles on AI trends.
넶1 2025-02-24
