Posts tagged Time Series
Plug-and-Play CuPy on ROCm: Data Analytics Acceleration Made Simple
- 14 November 2025
AMD is committed to ensuring that CuPy works seamlessly on AMD Instinct GPUs through ROCm and has worked to support the latest features in upstream CuPy on ROCm. In this blog, you will learn about the enhancements in the current and upcoming AMD CuPy releases that will supercharge your analytics and data science projects. In an earlier blog on CuPy and hipDF, it was demonstrated that CuPy and hipDF can be applied to complex analytics tasks with large datasets on ROCm using AMD GPUs. That blog used a PyPI wheel forked from earlier versions of CuPy and cuDF, and both CuPy and ROCm have advanced since then. In the latest AMD CuPy release, you will find many exciting improvements from the upstream CuPy library as well as ROCm 7.
Using AMD GPUs for Enhanced Time Series Forecasting with Transformers
- 19 August 2024
Time series forecasting (TSF) is a key concept in fields such as signal processing, data science, and machine learning (ML). TSF involves predicting future behavior of a system by analyzing its past temporal patterns, using historical data to forecast future data points. Classical approaches to TSF relied on a variety of statistical methods. Recently, machine learning techniques have been increasingly used for TSF, generating discussions within the community about whether these modern approaches outperform the classical statistical ones (see: Are Transformers Effective for Time Series Forecasting? and Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer)).