We’re excited to announce the release of ArrayFire v3.10, a major update packed with improvements across the board. But that’s not all… 🔥 We’re also officially introducing Python support (WIP)!Now you can harness the power of ArrayFire’s high-performance GPU acceleration right from Python. This release supports the Data API Standard, allowing for drop-in replacement of popular NumPy functions (try the beta release). Whether you’re accelerating deep learning models on GPUs, performing signal processing, or working with sparse data structures, this release provides enhanced tools and improved reliability for your numerical computing workflows. 🚀 What’s New in v3.10.0 🧠 Expanded Type Support ⚙️ Compatibility Updates 🛠️ Fixes and Stability Improvements For more information on these and other changes, you may visit this …
ArrayFire v3.9.0 Release
We are pleased to announce a new release of the ArrayFire library, v3.9.0. This release makes it easier than ever to target new devices without sacrificing performance. This post describes four of these new features, including: oneAPI Backend This release is the first time since v3.0 that introduces a new backend. The new backend is built with the oneAPI specification on top of the SYCL language. oneAPI is an open specification providing a full framework for high-performance computing applications without vendor lock-in. While this has been possible with OpenCL, the oneAPI specification includes libraries like BLAS and FFT significantly reducing the burden on the developers to maintain math functions and increasing the performance of these common operations. Here is a …