Fast and approximate stream mining of quantiles and frequencies using graphics processors

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How researchers see this paper

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8-bit Optimizers via Block-wise Quantization (2021, methodology): “Thus, 8-bit optimizers maintain performance and improve accessibility to the finetuning of large models for those that cannot afford GPUs with large memory buffers.”
Accelerating fully homomorphic encryption using GPU (2012, background): “Among the examples of the general purpose GPU computing (GPGPU) initiative are FFT [5], data processing [6] and many other science and engineering applications [7].”
GPUTeraSort: high performance graphics co-processor sorting for large database management (2006, methodology): “We implemented three prior GPU-based sorting algorithms [20, 22, 35] and compared their performance to GPUTeraSort.”
Relational joins on graphics processors (2008, background): “Recent research has shown that they can significantly speed up database query processing [5][14][15][16][36].”
Exploring the Feasibility of Fully Homomorphic Encryption (2015, background): “examples of the general purpose GPU (GPGPU) computing initiative are FFT [5], data processing [6], and many other science and engineering applications [7].”