Compute kernel and Cross-platform

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Compute kernel and Cross-platform

Compute kernel vs. Cross-platform

In computing, a compute kernel is a routine compiled for high throughput accelerators (such as GPUs, DSPs or FPGAs), separate from (but used by) a main program. In computing, cross-platform software (also multi-platform software or platform-independent software) is computer software that is implemented on multiple computing platforms.

Similarities between Compute kernel and Cross-platform

Compute kernel and Cross-platform have 3 things in common (in Unionpedia): Computing, OpenGL, Programming language.

Computing

Computing is any goal-oriented activity requiring, benefiting from, or creating computers.

Compute kernel and Computing · Computing and Cross-platform · See more »

OpenGL

Open Graphics Library (OpenGL) is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics.

Compute kernel and OpenGL · Cross-platform and OpenGL · See more »

Programming language

A programming language is a formal language that specifies a set of instructions that can be used to produce various kinds of output.

Compute kernel and Programming language · Cross-platform and Programming language · See more »

The list above answers the following questions

What Compute kernel and Cross-platform have in common
What are the similarities between Compute kernel and Cross-platform

Compute kernel and Cross-platform Comparison

Compute kernel has 37 relations, while Cross-platform has 220. As they have in common 3, the Jaccard index is 1.17% = 3 / (37 + 220).

References

This article shows the relationship between Compute kernel and Cross-platform. To access each article from which the information was extracted, please visit:

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