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AccelerEyes provides the fastest GPU software in the world with the most comprehensive functionality. Our products provide a level of productivity and return on investment far beyond any other development tool on the market, delivering maximum FLOPS per dollar.
From prototyping in MATLAB® with Jacket to the development of code in C, C++, Fortran, or Python with ArrayFire, AccelerEyes' products deliver the full benefit of GPU computing acceleration. Our products support CUDA from NVIDIA and OpenCL from AMD, Intel, and others.
Want help? You can avoid as much or as little GPU coding as you want by hiring us to work directly on your code!
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ArrayFire - GPU library for C, C++, Fortran, and PythonArrayFire is a software library which accelerates C, C++, Fortran, and Python code on GPUs. It provides the world's largest collection of GPU-accelerated functions. It is much easier to use than CUDA or OpenCL, and is meant to be combined with any CUDA or OpenCL code. With minimal knowledge and time, your C, C++, Fortran, or Python application can leverage the accelerated functions available in ArrayFire's vast library. Further, ArrayFire's runtime and memory manager ensure that your application gets optimal speedups on the GPU. Take the ArrayFire Tour. View ArrayFire Pricing. |
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Jacket - GPU engine for M-codeJacket accelerates MATLAB® code on GPUs. With minimal knowledge and time, single threaded M-codes are transformed to GPU-enabled applications that fully leverage hardware. Thousands of MATLAB function syntaxes are supported (see the full list). Jacket supports both CUDA and OpenCL devices. Take the Jacket Tour. View Jacket Pricing. |
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GPU Consulting - Guaranteed Code AccelerationHire us to accelerate your code. We are experienced, capable, and motivated to help you achieve faster code. With our deep GPU expertise and larger customer base, we are uniquely able to efficiently deliver fantastic results. We guarantee success on all our consulting projects, no matter how large. Over the years, we have helped thousands of organizations speedup their code. We have seen all sorts of algorithms, data sets, and challenging problems, enabling us to quickly understand your code, formulate a plan, and tackle it with world-class GPU kernels. We will deliver on schedule, providing you with continual updates along the way. Hire us and you'll sleep better! |
Technologies |
Jacket and ArrayFire support both CUDA GPUs from NVIDIA and OpenCL devices from AMD, Intel, and others. With both Jacket and ArrayFire, you can write your code once and run anywhere.
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