November 15, 2011
SEATTLE, Nov. 15 -- AccelerEyes announces the launch of ArrayFire, a freely-available GPU software library supporting CUDA and OpenCL devices.
ArrayFire supports C, C++, Fortran, and Python languages on AMD, Intel, and NVIDIA hardware. Learn more by visiting the ArrayFire product page.
"ArrayFire is our best software yet and anyone considering GPU computing can benefit," says James Malcolm, VP Engineering at AccelerEyes. "It is fast, simple, GPU-vendor neutral, full of functions, and free for most users."
Thousands of paying customers currently enjoy AccelerEyes’ GPU software products. With ArrayFire, everyone developing software for GPUs has an opportunity to enjoy these benefits without the upfront expense of a developer license.
Reasons to use ArrayFire
"We are excited to make ArrayFire free to most customers," says John Melonakos, CEO of AccelerEyes. "We see too many organizations frustrated by the difficulty of programming GPUs today. ArrayFire removes that frustration, enabling GPU tire-kickers to realize the true benefits of the powerful GPU hardware."
It is well-supported commercial software at open-source prices. Visit the company website to access the new software today!
Pricing and availability
ArrayFire is free for most users. To learn more about ArrayFire licensing, visit the ArrayFire licensing page.
AccelerEyes launched in 2007 to commercialize Jacket, the first software platform to deliver productivity in GPU computing. With advanced language processing and runtime technology to transform CPU applications to high performance GPU codes, Jacket extends from desktop workstation performance to also fully leverage GPU clusters. Based in Atlanta, GA., the privately held company markets Jacket for a range of defense, intelligence, biomedical, financial, research, and academic applications. Additional information is available at www.accelereyes.com.
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