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IMAGEMAGICK OPENCL BENCHMARK SOFTWARE
IMAGEMAGICK OPENCL BENCHMARK DOWNLOAD
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pixels from two different images (e.g.an arbitrary region of pixels from the image (e.g.a single column or columns of pixels (e.g.In addition, some image pixels may require attenuation, some formats permit more than one frame, and some formats contain vector graphics that must first be rasterized (converted from vector to pixels).Īn efficient implementation of an image processing algorithm may require we get or set:

colorspace (e.g sRGB, linear RGB, linear GRAY, CMYK, YUV, Lab, etc.).Within these formats we find differences in: However, there are hundreds of image formats such JPEG, TIFF, PNG, GIF, etc., that makes it difficult to access pixels on demand. And in the case of an image sequence, we need access to any pixel of any region of any image in the sequence. To convert, edit, or compose an image in an efficient manner, we need convenient access to any pixel anywhere within the region (and sometimes outside the region). Architecture OverviewĪn image typically consists of a rectangular region of pixels and metadata. To fully benefit from this discussion, you should be comfortable with image nomenclature and be familiar with computer programming.

IMAGEMAGICK OPENCL BENCHMARK SOFTWARE

However, if you want to know more about the software and algorithms behind ImageMagick, read on.

IMAGEMAGICK OPENCL BENCHMARK FREE

Like the citizens of Oz, if you feel comfortable that ImageMagick can help you convert, edit, or compose your images without knowing what goes on behind the curtain, feel free to skip this section. They accepted his wisdom and benevolence without ever questioning the who, why, and where of his power.

IMAGEMAGICK OPENCL BENCHMARK DOWNLOAD

If you’d like to try the benchmark out for yourself, you can either download the “Lite” version or purchase commercial versions of Sandra 2010 from this page.The citizens of Oz were quite content with their benefactor, the all-powerful Wizard. Nevertheless, AMD has put out a press release saying it worked with SiSoftware to “ the performance of the OpenCL benchmarks for its GPU implementations.” Purportedly, some tests run 2.7 times faster on the Radeon HD 5870 than on the dual-GPU GeForce GTX 295. SiSoftware notes that its support for AMD’s OpenCL 1.0 implementation is “available as Beta at this time,” and performance “cannot be guaranteed.” No such warning applies to the benchmark’s Nvidia OpenCL support. No matter how fast the processing, ultimately the end result will be affected by memory performance.

Memory performance: this analyses how fast data can be transferred to and from the GPGPU.

This allows the user to see the power of the GPGPU in solving a workload thus far exclusively performed on a CPU. It follows the same style as the CPU Multi-Media benchmark using fractal generation as its workload.

Computational performance: in simple terms how fast it can crunch numbers.

The new test probes GPU compute performance from two angles: For now, SiSoftware has released a new version of its Sandra analysis, diagnostic, and benchmarking suite that includes a specially crafted OpenCL benchmark.Īccording to SiSoftware, Sandra 2010’s OpenCL synthetic benchmark is a port of the Nvidia CUDA and ATI Stream benchmarks from Sandra 2009, the previous version of the suite. OpenCL should herald a brave new world of vendor-agnostic GPU compute applications… when those applications start coming out, that is.