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@BenWeber42 BenWeber42 released this 13 Jun 20:26
v0.16
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What's Changed

CI/CD pipeline for NOAA & NASA weather and climate model by @FlorianDeconinck & @BenWeber42 in #1460, #1478 & #1575

Our collaborators NOAA & NASA have successfully used DaCe as an optimization framework and back-end for some of the components of their climate and weather model. Particularly, the FV3 dycore and GFS physics parametrization have been ported to a combination of GT4Py Python DSL and DaCe. DaCe is used within their stack as a stencil backend and as a full-program optimizer integrating stencils and glue-code together.

With this CI/CD pipeline, we run various checks for those components on every change to DaCe. This is an important step for DaCe to ensure stability for real-world applications that utilize DaCe. We are very grateful for this contribution and the collaboration with NOAA & NASA.

Changed default of serialize_all_fields to False by @BenWeber42 in #1564

This feature was already implemented in the previous 0.15.1 release in #1452, but not enabled by default. In this release, we are changing the default so that only fields with non-default values are serialized. This generally leads to a reduction in file size for SDFGs.

Since each DaCe version stores the default values of each field, it is still possible to recover these missing values. Default values should rarely change across different DaCe versions. Nevertheless, we want to caution users & developers when using SDFG files with different DaCe versions.

Analysis passes for access range analysis by @tbennun in #1484

Adds two analysis passes to help with analyzing data access sets: access ranges and Reference sources. To enable constructing sets of memlets, this PR also reintroduces data descriptor names to memlet hashes.

Reference-to-View pass and comprehensive reference test suite by @tbennun in #1485

Implements a reference-to-view pass (converting references to views if they are only set to one particular subset). Also improves the simplify pipeline in the presence of Reference data descriptors and adds multiple tests that use references.

Ndarray strides by @alexnick83 in #1506

The PR adds support for custom strides to dace.ndarray. Furthermore, the stride unit is number of elements, in contrast to NumPy/CuPy, where it is number of bytes. Custom strides are not supported for numpy.ndarray and cupy.ndarray.

Structure Support to NestedSDFGs and Python Frontend by @alexnick83 in #1366

Adds basic support for nested data (Structures) to the Python frontend. It also resolves issues with the use of Structures in nested SDFG scopes (mostly code generation).

Generalize StructArrays to ContainerArrays and refactor View class structure by @tbennun in #1504

This PR enables the use of an array data descriptor that contains a nested data descriptor (e.g., ContainerArray of Arrays). Its contents can then be viewed normally with View or StructureView.
With this, concepts such as jagged arrays are natively supported in DaCe (see test for example).
Also adds support for using ctypes pointers and arrays as arguments to SDFGs.

This PR also refactors the notion of views to a View interface, and provides views to arrays, structures, and container arrays. It also adds a syntactic-sugar/helper API to define a view of an existing data descriptor.

Add support for distributed compilation in DaceProgram by @kotsaloscv in #1551 & #1555

Adds configurable support for distributed compilation (MPI) to the Python front-end (via mpi4py). Distributed compilation can be enabled with the distributed_compilation parameter in the dace.program decorator.

Fixes and other improvements:

New Contributors

Full Changelog: v0.15.1...v0.16

Contributors

tim0s, FlorianDeconinck, and 14 other contributors
Assets 2
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