Showing 3 open source projects for "expect"

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  • 1
    oneAPI.jl

    oneAPI.jl

    Julia support for the oneAPI programming toolkit.

    ...The package is verified to work with the (currently) only implementation of this interface that is part of the Intel Compute Runtime, only available on Linux. This package is still under significant development, so expect bugs and missing features.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Metal.jl

    Metal.jl

    Metal programming in Julia

    With Metal.jl it's possible to program GPUs on macOS using the Metal programming framework. The package is a work in progress. There are bugs, functionality is missing, and performance hasn't been optimized. Expect to have to make changes to this package if you want to use it. PRs are very welcome. These requirements are fairly strict, and are due to our limited development resources (manpower, hardware). Technically, they can be relaxed. If you are interested in contributing to this, see this issue for more details. In practice, Metal.jl will probably work on any macOS 10.15+, and other GPUs that are supported by Metal might also function (if only partially), but such combinations are unsupported for now.
    Downloads: 5 This Week
    Last Update:
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  • 3
    ThreadsX.jl

    ThreadsX.jl

    Parallelized Base functions

    ...All functions that exist directly under ThreadsX namespace are public API and they implement a subset of API provided by Base. Everything inside ThreadsX.Implementations is an implementation detail. The public API functions of ThreadsX expect that the data structure and function(s) passed as argument are "thread-friendly" in the sense that operating on distinct elements in the given container from multiple tasks in parallel is safe. For example, ThreadsX.sum(f, array) assumes that executing f(::eltype(array)) and accessing elements as in array[i] from multiple threads is safe.
    Downloads: 4 This Week
    Last Update:
    See Project
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