Add details on native packaging requirements exposed by mobile platforms

docs/glossary.md

@@ -6,6 +6,8 @@
 |---|---|---|
 | ABI | Application Binary Interface | See [here](./background/binary_interface.md) |
 | API | Application Programming Interface | The sum total of available functions, classes, etc. of a given program |
+| AAB | Android Application Bundle | A distributable unit containing an Android application |
+| APK | Android application Package | A "binary" unit for Android, installed on a device |
 | ARM | Advanced RISC Machines | Family of RISC architectures, second-most widely used processor family after x86 |
 | AVX | Advanced Vector eXtensions | Various extensions to the x86 instruction set (AVX, AVX2, AVX512), evolution after SSE |
 | BLAS | Basic Linear Algebra Subprograms | Specification resp. implementation for low-level linear algebra routines |
@@ -29,13 +31,15 @@
 | LAPACK | Linear Algebra PACKage | Standard software library for numerical linear algebra |
 | ISA | Instruction Set Architecture | Specification of an instruction set for a CPU; e.g. x86-64, arm64, ... |
 | JIT | Just-in-time Compilation | Compiling code just before execution; used in CUDA, PyTorch, PyPy, Numba etc. |
+| JNI | Java Native Interface | The bridge API allowing access of Java runtime objects from native code (and vice versa) |
 | LLVM | - | Cross-platform compiler framework, home of Clang, MLIR, BOLT etc. |
 | LTO | Link-Time Optimization | See [here](./background/compilation_concepts.md#link-time-optimization-lto)|
 | LTS | Long-Term Support | Version of a given software/library/distribution designated for long-term support |
 | musl | - | An alternative implementation of the C standard library |
 | MPI | Message Passing Interface | Standard for message-passing in parallel computing |
 | MLIR | Multi-Level IR | Higher-level IR within LLVM; used i.a. in machine learning frameworks |
 | MSVC | Microsoft Visual C++ | Main compiler on Windows |
+| NDK | Native Development Kit | The Android toolchain supporting compilation of binary modules |
 | NEP | Numpy Enhancement Proposal | See [here](https://numpy.org/neps/) |
 | OpenMP | Open Multi Processing | Multi-platform API for enabling multi-processing in C/C++/Fortran |
 | OS | Operating System | E.g. Linux, MacOS, Windows |

docs/index.md

@@ -68,6 +68,7 @@ workarounds for.
 5. [Distributing a package containing SIMD code](key-issues/simd_support.md)
 6. [Unsuspecting users getting failing from source builds](key-issues/unexpected_fromsource_builds.md)
 7. [Cross compilation](key-issues/cross_compilation.md)
+8. [Platforms with multiple CPU architectures](key-issues/multiple_architectures.md)
 
 
 ## Contributing

docs/key-issues/cross_compilation.md

@@ -23,7 +23,7 @@ compiled for the target platform.
 
 macOS also experiences this as a result of the Apple Silicon transition. Apple
 has provided the tools to make cross compilation from x86-64 to arm64 as easy
-as possible, as well as to compile fat binaries
+as possible, as well as to compile [fat binaries](multiple_architectures.md)
 (supporting x86-64 and arm64 at the same time) on both architectures. In the
 latter case, the host platform will still be one of the outputs of the
 compilation process, and the resulting binary will run on the CI/CD system.