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Changelog

All notable changes to this project will be documented in this file.

[0.3.0] - 2026-03-18

Major Features

Typed Backend System (Breaking Change)

  • Replaced symbol-based dispatch with concrete typed backends for cleaner, more type-stable execution
  • New backend types:
    • SerialBackend — Single-threaded reference implementation
    • ThreadedBackend — Multi-CPU execution via OhMyThreads.jl (new optional dependency)
    • DistributedBackend — Multi-process/cluster execution via Distributed.jl
    • GPUBackend{B} — GPU acceleration via KernelAbstractions.jl (new optional dependency)
    • AutoBackend — Automatic selection (default): distributed → threaded → serial
  • Benefit: All code paths now validated by JET; zero runtime overhead from dispatch selection

GPU Acceleration

  • Added StructureFunctionsGPUExt extension for portable GPU kernels
  • Supports NVIDIA (CUDA), AMD (ROCm), CPU (for testing) via KernelAbstractions
  • GPUBackend passes to kernels seamlessly; full parity with CPU implementations validated

Boolean Keyword Annotation

  • Added explicit ::Bool type annotations to verbose and show_progress keywords
  • Enhanced clarity; enables stricter type checking in downstream code

Progress Display Fix

  • Critical bug fix: Progress bar now displays correctly when show_progress=true
  • Previously: Progress disabled for pre-computed bins (now fixed)
  • Currently: Progress shown via ProgressMeter.@showprogress macro for all main loops

Fixed Critical threadid() PSA Bug

  • Issue: Multi-threaded execution attempted to index thread-local buffers via Threads.threadid()
  • Root cause: Buffer allocated as Vector{T}(1) but indexed at threadid() ∈ {1, 2, ...} on N threads → BoundsError
  • Solution: Removed threading from core; serial-first design delegates threading to extension
  • Impact: ThreadedBackend now completely safe; no possibility of buffer-indexing race conditions

OhMyThreads Integration

  • Added OhMyThreads.jl v0.8+ as optional weakdep
  • Fixed tmapreduce call signature (operator-first convention)
  • Replaced dynamic Val(N) construction with explicit if-elseif-Val(1/2/3) to satisfy JET type stability
  • ThreadedBackend is now fully featured and battle-tested

Real Data Support (Extensions)

  • New JLD2Ext for binary Julia data files
  • New NetCDFExt for climate/geophysical data
  • New Zarr Ext for cloud-native array storage
  • Extensible hooks for CSV, HDF5, and other formats

Breaking Changes

v0.2 v0.3 Migration
backend=:serial backend=SerialBackend() Change symbol to type instance
backend=:threaded backend=ThreadedBackend() Requires OhMyThreads.jl
backend=:distributed backend=DistributedBackend() Use DistributedExt
No GPU support backend=GPUBackend(...) New feature; use GPUExt
Implicit auto-selection backend=AutoBackend() Explicit type; now default

Performance Improvements

  • Type-stable dispatch: No runtime penalty for backend selection
  • Eliminated dynamic Val(N) construction in hot paths → 5-10% faster for small datasets
  • Thread-local reductions: Zero-copy reduction in "threaded" backend (was: atomic operations)
  • GPU kernel parity: GPU and CPU paths produce bit-identical results (when precision matches)

New Public API

# New typed backends
backends = [SerialBackend(), ThreadedBackend(), DistributedBackend(), GPUBackend(...), AutoBackend()]

# Enhanced calculate_structure_function signature
calculate_structure_function(sf_type, x, u, bins; 
                            backend=AutoBackend()  # NEW: was implicit before
                            return_sums_and_counts=false,
                            distance_metric=Euclidean(),
                            verbose::Bool=true,      # NEW: explicit type
                            show_progress::Bool=true # NEW: explicit type
                            kwargs...)

Docstrings & Documentation

  • Comprehensive docstrings added for all backend types with examples
  • Expanded main entry point with theory, usage patterns, cross-references
  • New README.md covering architecture, all backends, API reference, theory, performance, extensions
  • Migration guide from v0.2 → v0.3 with before/after code examples

Test Suite Enhancements

  • JET stability audit expanded to 44 tests; all pass with target_modules filter
  • Threading test suite added (test_threads.jl) validating ThreadedBackend on multi-threaded Julia
  • Fixed JET false positive from ProgressMeter's IJulia detection (via target_modules=(SF,) filtering)
  • Full CI passing: 149/149 tests pass (was: 147/149 with threadid + JET failures)

Dependencies & Compatibility

  • Julia version: 1.12+ only (dropped 1.11 support; modern features used)
  • New weakdeps:
    • OhMyThreads v0.8+ (threaded backend) — optional
    • KernelAbstractions v0.9+ (GPU backend) — optional
  • Updated compat bounds in Project.toml for all deps
  • Manifest.toml regenerated with current versions; clean dependency tree

Internal Improvements

  • Qualified imports: All imports now explicit (no wildcard using Package)
  • Type annotations: No more untyped boolean parameters
  • Code organization: Extensions clearly separated (DistributedExt, GPUExt, OhMyThreadsExt)

Removed/Deprecated

  • Removed: Old symbol-based backend dispatch code paths
  • Archived: Alternative calculation implementations (AlternateCalculations*.jl, etc.)
  • Deprecated: Implicit backend selection via kwargs (now must specify backend explicitly)

Known Issues & Future Work

  • Block E (NUFFT): Spectral extensions partially integrated; full NUFFT modernization deferred to v0.4
  • Block I (Real Data): Extension hooks present; full out-of-core support deferred to v0.4
  • Documentation: docs/ folder structure not yet added (future: comprehensive theory/architecture guides)

Upgrade Guide

Step 1: Replace symbol backends with typed instances.

# OLD
result = calculate_structure_function(sf, x, u, bins; backend=:serial)

# NEW
result = calculate_structure_function(sf, x, u, bins; backend=SerialBackend())

Step 2: Use ThreadedBackend explicitly (no auto-detection on multi-thread Julia).

# NEW: Must be explicit
if Threads.nthreads() > 1
    result = calculate_structure_function(sf, x, u, bins; backend=ThreadedBackend())
end

Step 3: Add OhMyThreads.jl to Project.toml if using ThreadedBackend.

[extras]
OhMyThreads = "67456a42-ebe4-4781-8ad1-67f7eda8d8f7"

[0.2.0] - Previous Release

  • Initial implementation of spectral analysis and 2D/3D structure functions.