Hello,
Allocating multi-dimensional arrays in Javascript is only possible by
building each dimension individually. In addition to being a very
tedious job, a developer has no control over memory usage, which in
general is likely to be very high.
Seeing an array algebraically as a vector, typed arrays have already
created the ability to work more efficiently and memory-consciously with
lists of numbers. A natural extension of this is not just a matrix, but
a tensor.
I would like to suggest tensors as a native language construct in ES.
This would have the advantage that developers could write highly
parallelizable code independently of WebGL. As an API one could
introduce the following classes in analogy to typed arrays:
- IntXTensor
- UintXTensor
- FloatXTensor
Where X is one of {8, 16, 32, 64}. To make these tensor objects really
effective, it is necessary to introduce meaningful operations, maybe
similar to the features of TensorFlow. I think by introducing tensors in
the browser (but also node.js), a wide range of new applications open
up. For example, working with deep learning right in the browser or
calculating filters on images without having to write shaders for them.
The most important thing probably is having a way of storing high
dimensional data in the browser without worrying about the memory
footprint, even for complex applications.
What do you think about it?
Robert Eisele
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