Add copilot instructions

Apparently this file speeds up process of AI contributions
to this repository. It was fully generated by copilot.

Author: lukaszstolarczuk

.github/copilot-instructions.md

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+# UMF (Unified Memory Framework) - AI Coding Guide
+
+## Project Architecture
+
+UMF is a C library for constructing memory allocators and pools, built around a two-layer architecture:
+
+- **Memory Providers** (`src/provider/`): Handle coarse-grained OS-level memory allocation (mmap, CUDA, Level Zero, etc.)
+- **Memory Pools** (`src/pool/`): Handle fine-grained allocation using providers as backing store (jemalloc, scalable, disjoint)
+
+Key architectural patterns:
+- Provider/pool separation enables mixing any provider with any pool allocator
+- Operations structures (`*_ops_t`) define plugin interfaces for extensibility
+- Handle-based API (`*_handle_t`) abstracts implementation details
+- Result codes (`umf_result_t`) for consistent error handling
+
+## Development Workflows
+
+### Build System
+```bash
+# Standard build
+cmake -B build -DCMAKE_BUILD_TYPE=Release
+cmake --build build -j $(nproc)
+
+# Enable all features for development
+cmake -B build -DCMAKE_BUILD_TYPE=Debug \
+  -DUMF_BUILD_TESTS=ON -DUMF_BUILD_GPU_TESTS=ON \
+  -DUMF_BUILD_EXAMPLES=ON -DUMF_DEVELOPER_MODE=ON
+```
+
+### Version Management
+- Version determined by: 1) `git describe` (preferred), 2) `VERSION` file fallback, 3) "0.0.0" default
+- `set_version_variables()` in `cmake/helpers.cmake` handles version detection
+- For releases: create `VERSION` file with semver format (e.g., "1.0.3")
+
+### Testing Patterns
+- Use `build_umf_test()` CMake function in `test/CMakeLists.txt`
+- GPU tests require `UMF_BUILD_GPU_TESTS=ON` and hardware/drivers
+- IPC tests use producer/consumer pattern with shell scripts
+- Platform-specific tests: `.c` files for portability, `.cpp` for C++ features
+
+### CI/CD Structure
+- `pr_push.yml`: Main workflow calling reusable workflows
+- Separate workflows for different configurations: `reusable_gpu.yml`, `reusable_sanitizers.yml`
+- Provider-specific testing: Level Zero, CUDA runners with actual hardware
+
+## Coding Conventions
+
+### Naming Patterns
+- Public API: `umf*` prefix (e.g., `umfMemoryProviderCreate`)
+- Internal functions: `snake_case` without prefix
+- Structures: `*_t` suffix for types, `*_handle_t` for opaque handles
+- Constants: `UMF_*` uppercase with underscores
+
+### Memory Management Patterns
+- Always pair create/destroy functions (e.g., `umfMemoryProviderCreate`/`umfMemoryProviderDestroy`)
+- Use `umf_result_t` return codes, never throw exceptions
+- Provider params have separate create/destroy lifecycle
+- Thread-local storage (`__TLS`) for error state in providers
+
+### Provider Implementation Pattern
+```c
+// Standard provider structure
+typedef struct my_provider_t {
+    // Provider-specific state
+} my_provider_t;
+
+static umf_result_t my_initialize(const void *params, void **provider);
+static umf_result_t my_finalize(void *provider);
+static umf_result_t my_alloc(void *provider, size_t size, size_t alignment, void **ptr);
+static umf_result_t my_free(void *provider, void *ptr, size_t size);
+
+static const umf_memory_provider_ops_t MY_PROVIDER_OPS = {
+    .version = UMF_PROVIDER_OPS_VERSION_CURRENT,
+    .initialize = my_initialize,
+    .finalize = my_finalize,
+    .alloc = my_alloc,
+    .free = my_free,
+    // ... other required ops
+};
+```
+
+## Key Files and Patterns
+
+### Core APIs
+- `include/umf.h`: Main header, include this for basic usage
+- `include/umf/memory_provider_ops.h`: Provider plugin interface
+- `include/umf/memory_pool_ops.h`: Pool plugin interface
+
+### Common Utilities
+- `src/utils/`: Logging (`utils_log.h`), concurrency (`utils_concurrency.h`), assertions
+- `src/critnib/`: Concurrent radix tree for address tracking
+- `src/base_alloc/`: Base allocation utilities
+
+### Platform Abstractions
+- `libumf_linux.c`/`libumf_windows.c`: OS-specific implementations
+- `topology.c`: HWLOC integration for NUMA topology discovery
+- Provider files handle platform-specific allocation (CUDA, Level Zero, OS memory)
+
+## Integration Points
+
+### NUMA Support
+- Uses HWLOC for topology discovery (`topology.c`, `umf_hwloc.h`)
+- NUMA policies in `mempolicy.c`: bind, interleave, split modes
+- Memory spaces (`memspace.c`) and targets (`memtarget.c`) for NUMA abstraction
+
+### GPU Integration
+- Level Zero provider: `provider_level_zero.c` for Intel GPUs
+- CUDA provider: `provider_cuda.c` for NVIDIA GPUs
+- Examples in `examples/level_zero_shared_memory/` and `examples/cuda_shared_memory/`
+
+### IPC (Inter-Process Communication)
+- Linux-specific implementation using file descriptor passing
+- Requires `PTRACE_MODE_ATTACH_REALCREDS` permission
+- Uses `memfd_create()` or `memfd_secret()` for anonymous shared memory
+
+When implementing new providers or pools, follow the existing patterns in `src/provider/provider_os_memory.c` and `src/pool/pool_scalable.c` as reference implementations.