
ArrayFire
@arrayfire
Open software and services for AI & GPU computing. Expert in technical computing projects, especially deep learning and code acceleration! (e.g. CUDA, oneAPI)
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Reading through the @arrayfire source code to learn how to juggle between multiple compute backends and I'm having a blast. Code is well-formatted and well-documented and it's quite easy to just 'follow along'. Bravo @arrayfire team!
Today, we are celebrating 10 years of open source! Thank you to all the ArrayFire developers and users over the years. It's been an incredible ride. And we're working on our best release yet, coming soon :-)
GPU-accelerated blockchain with ArrayFire in Rust. 🔥
QF Foundation's first paper explores GPU acceleration for primitive operations in Substrate-based blockchains, marking the completion of phase 1 for team 2's roadmap. Key findings: -Implemented GPU acceleration using WebAssembly and arrayfire-rust -Achieved 2-3x speedup for…

With over 500 papers on Google Scholar using ArrayFire, here are some of the amazing things you have built because GPU programming is a little easier with a higher-level array API, arrayfire.com/blog/category/…
If GPU programming was easier — what would you hack on them? Share even if half-baked ideas.
Talk to Emacs with a GPT4 Co-Worker A fun blog post about upgrading your dev loop with conversational AI. Enjoy! arrayfire.com/blog/talk-to-e…
An exciting step towards open standards and ecosystems in GPU computing. Download ArrayFire v3.9 today, which includes a new SYCL (oneAPI) backend, arrayfire.com/download
We are thrilled to announce the launch of the UXL Foundation, a cross-industry group committed to delivering an open standard accelerator programming model that simplifies development of performant, cross-platform applications. Announcement: hubs.la/Q022FpF30 #uxl #oneapi

**New ArrayFire v3.9.0 Release** We are excited to announce a major release to ArrayFire, including a new oneAPI backend for greater flexibility and commitment to open GPU and XPU computing standards. Binaries and source code are available for download. arrayfire.com/blog/arrayfire…
Very cool.
With big data comes big resource usage. Natan Biesmans & G²CPU bring high-performance computing directly to your #LabVIEW environment and GPU or CPU. Learn all about the parallel might of @arrayfire, #CUDA and #OpenCL at #GDevCon next month in Glasgow! bit.ly/GDev4Tickets

*New Blog Post* "Reconstruction of 3D Phase Contrast Atomic Electron Tomography using ArrayFire" by researchers from UC Berkeley and Lawrence Berkeley National Laboratory. Enjoy! arrayfire.com/blog/reconstru…
The excitement around GPU computing has never been greater. Nice article here by @HPCwire. hpcwire.com/2023/07/13/the…
Getting an update on #G2GPU from Natan Biesmans at the Dutch LabVIEW User Group meeting today. A library in the making to make using ArrayFire in #LabVIEW a breeze! #dutlug #labviewfriends

*New Blog Post* Parallelization of FOAGDD (First-order Anisotropic Gaussian Direction Derivative) Point of Interest Extraction by Gustavo Stahl from São Paulo State University in Brazil. Enjoy! arrayfire.com/blog/paralleli…
*New Quarterly Newsletter* The Torch by ArrayFire: Q1 GPU Updates Enjoy! arrayfire.com/blog/the-torch…
Check out Shumai by Facebook Research, built with ArrayFire and Flashlight. It is a fast differentiable tensor library in JavaScript and TypeScript. Benchmarks show this ArrayFire-based project beating TensorFlow by 2-8X for many different cases. Enjoy! github.com/facebookresear…
New Blog Post from our series on the ArrayFire Quantum Simulator: Quantum States vs Classical States Enjoy! arrayfire.com/blog/quantum-s…
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