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Articolo in evidenza: Accelerate Quantitative Finance with SYCL and Intel® oneAPI Math Kernel Library (oneMKL)
This issue explores innovative approaches to AI, data science, and high-performance computing, with insights into financial engineering, open standards, and time-series analysis.
Letter from the Editor: Susan E. Kahler – new Editor
Sommario n. 58
- Portable Data Parallel Extensions for Python*: Accelerate Computations by Leveraging GPUs
- Cluster Time Series with PCA and DBSCAN
- Implementing a Transformer-Based Time Series Predictor
- A JAX Plus OpenXLA Running Process and Underlying Logic, Part 1
- A JAX Plus OpenXLA Running Process and Underlying Logic, Part 2
