gpu-vsipl.gtri gatech.edu

GPU VSIPL

GPU VSIPL is an implementation of Vector Signal Image Processing Library. That targets Graphics Processing Units GPUs supporting NVIDIAs CUDA platform. By leveraging processors capable of 900 GFLOPs or more, your application may achieve considerable speedup without any specialized development for GPUs. Our range-Doppler map. Application achieved a 75x. Speedup on the GPU simply by linking it with GPU VSIPL. All releases are verified with the VSIPL Core Lite Test Suite. Windows 32- and 64-bit. Intende.

OVERVIEW

The site gpu-vsipl.gtri.gatech.edu currently has an average traffic classification of zero (the lower the better). We have parsed two pages within the website gpu-vsipl.gtri.gatech.edu and found one website associating themselves with gpu-vsipl.gtri.gatech.edu.
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LINKS TO GPU-VSIPL.GTRI.GATECH.EDU

CASL Gatech Computer Architecture and Systems Laboratory in Georgia Institute of Technology

And have been past members of the Open Core Protocol Consortium.

WHAT DOES GPU-VSIPL.GTRI.GATECH.EDU LOOK LIKE?

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GPU-VSIPL.GTRI.GATECH.EDU SERVER

We identified that a single root page on gpu-vsipl.gtri.gatech.edu took three hundred and nineteen milliseconds to load. I could not observe a SSL certificate, so therefore we consider this site not secure.
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130.207.222.95

SERVER SOFTWARE

We detected that this domain is utilizing the Apache/2.2.15 (Red Hat) operating system.

SITE TITLE

GPU VSIPL

DESCRIPTION

GPU VSIPL is an implementation of Vector Signal Image Processing Library. That targets Graphics Processing Units GPUs supporting NVIDIAs CUDA platform. By leveraging processors capable of 900 GFLOPs or more, your application may achieve considerable speedup without any specialized development for GPUs. Our range-Doppler map. Application achieved a 75x. Speedup on the GPU simply by linking it with GPU VSIPL. All releases are verified with the VSIPL Core Lite Test Suite. Windows 32- and 64-bit. Intende.

PARSED CONTENT

The site gpu-vsipl.gtri.gatech.edu states the following, "GPU VSIPL is an implementation of Vector Signal Image Processing Library." I noticed that the webpage also stated " That targets Graphics Processing Units GPUs supporting NVIDIAs CUDA platform." They also stated " By leveraging processors capable of 900 GFLOPs or more, your application may achieve considerable speedup without any specialized development for GPUs. Speedup on the GPU simply by linking it with GPU VSIPL. All releases are verified with the VSIPL Core Lite Test Suite."

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