ArrayFire

AI and performance consulting for technical teams. CUDA, OpenCL, oneAPI/SYCL, C/C++, Python, edge systems, and multi-GPU workloads.

[ArrayFire @arrayfire]

ArrayFire v3.10 and its new Python Interface

Check out our latest release!

https://t.co/4Tfobq7bNT

[ArrayFire @arrayfire]

@nirw4nna Thank you for the kind words!

[Christian Gilli @nirw4nna]

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!

[ArrayFire @arrayfire]

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 :-)

[ArrayFire @arrayfire]

BREAKING: ArrayFire is now open source. http://t.co/boo8qVQsrz

[ArrayFire @arrayfire]

GPU-accelerated blockchain with ArrayFire in Rust. 🔥

[QF Network @theqfnetwork]

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 basic arithmetic on large datasets (1M float operations)
-GPU: 0.38-0.50ms vs CPU: 1.15-1.85ms average execution time

This research lays groundwork for GPU-accelerated smart contract execution and introduces potential for dynamic CPU/GPU operation balancing. It aligns with our broader goal of revolutionizing blockchain performance through advanced parallel processing.

Next steps include exploring more complex GPU-accelerated operations. Our work with PolkaVM promises even greater efficiency gains beyond WASM.

Want to explore the code or dive deeper?

Read the full study: https://t.co/pTihxqu9B3

Run the code yourself: https://t.co/GqsrDvtJFT

See what was implemented: https://t.co/frmN8kIIML

[ArrayFire @arrayfire]

New Blog Post: Raytracing a Black Hole with ArrayFire

https://t.co/LCzY82ynv2

[ArrayFire @arrayfire]

New Blog Post: Quantum Simulators and AQS

https://t.co/64SKcRJxbT

[ArrayFire @arrayfire]

New Blog Post: Applications of Quantum Algorithms

https://t.co/C4xUaEamhd

[ArrayFire @arrayfire]

@my_leg_x That's great. Let us know how it goes as you get into your project :-)

[ArrayFire @arrayfire]

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,

https://t.co/lfV7ENynOx

[Amjad Masad @amasad]

If GPU programming was easier — what would you hack on them? Share even if half-baked ideas.

[ArrayFire @arrayfire]

Talk to Emacs with a GPT4 Co-Worker

A fun blog post about upgrading your dev loop with conversational AI. Enjoy!

https://t.co/W4mwiXvEXk

[ArrayFire @arrayfire]

An exciting step towards open standards and ecosystems in GPU computing.

Download ArrayFire v3.9 today, which includes a new SYCL (oneAPI) backend, https://t.co/urRS4E3KNY

[UXLfoundation @UXLfoundation]

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: https://t.co/dHOVkkrFxC
#uxl #oneapi

[ArrayFire @arrayfire]

**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.

https://t.co/CA8C1vm7CQ

[ArrayFire @arrayfire]

Very cool.

[GDevCon @GDevConference]

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! https://t.co/tNWWYxL1u4

[ArrayFire @arrayfire]

*New Blog Post*

"Reconstruction of 3D Phase Contrast Atomic Electron Tomography using ArrayFire"

by researchers from UC Berkeley and Lawrence Berkeley National Laboratory.

Enjoy!

https://t.co/gwB5sOL1BK

[ArrayFire @arrayfire]

The excitement around GPU computing has never been greater. Nice article here by @HPCwire.

https://t.co/ulJYx3bZaT

[Jeffrey Habets @JeffreyHabets]

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

[ArrayFire @arrayfire]

*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!

https://t.co/AtBHk20X3W

[ArrayFire @arrayfire]

Previous blogs in this series include:

1) What is a Quantum Computer?
https://t.co/g9ZfhI5pHI

and

2) Quantum States vs. Classical States
https://t.co/0zUVlRQjwM

Thanks to Edwin for these posts!

[ArrayFire @arrayfire]

New blog post today from our series on quantum computing:

"How does a Quantum Computer work?"

These are related to the ArrayFire Quantum Simulator.

Enjoy!

https://t.co/IRuMNp7UdG