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v0.3.0: Multi-Kernel Dispatch, Memory Pools, Global Reductions

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@mivertowski mivertowski released this 19 Jan 09:34
· 157 commits to main since this release
v0.3.0
8d81824

RingKernel v0.3.0

GPU-native persistent actor model framework for Rust. This release adds multi-kernel dispatch, memory pools, global reduction primitives, and two new crates.

Highlights

  • 21 crates published to crates.io - Full workspace now available
  • 825+ tests across the workspace
  • cudarc 0.18.2 and wgpu 27.0 support

New Features

Multi-Kernel Dispatch and Persistent Message Routing

  • #[derive(PersistentMessage)] macro for GPU kernel dispatch
  • KernelDispatcher component with builder pattern and metrics
  • CUDA handler dispatch code generator (CudaDispatchTable)
  • Queue tiering system (QueueTier, QueueFactory, QueueMonitor)

Memory Pool Management

  • StratifiedMemoryPool with 5 size buckets (256B to 64KB)
  • AnalyticsContext for grouped buffer lifecycle
  • PressureHandler for memory pressure monitoring
  • CUDA ReductionBufferCache and WebGPU StagingBufferPool

Global Reduction Primitives

  • ReductionOp enum: Sum, Min, Max, And, Or, Xor, Product
  • ReductionBuffer<T> using mapped memory (zero-copy host read)
  • Multi-phase kernel execution with SyncMode (Cooperative, SoftwareBarrier, MultiLaunch)
  • PageRank example with dangling node handling

CUDA NVRTC Compilation

  • compile_ptx() function for runtime CUDA compilation
  • Downstream crates can compile CUDA without direct cudarc dependency

Domain System

  • 20 business domains with reserved type ID ranges
  • #[message(domain = "FraudDetection")] attribute
  • Domains: GraphAnalytics, FraudDetection, ProcessIntelligence, Banking, etc.

New Crates

  • ringkernel-montecarlo - Philox RNG, antithetic variates, control variates, importance sampling
  • ringkernel-graph - CSR matrix, BFS, SCC (Tarjan/Kosaraju), Union-Find, SpMV

Breaking Changes

  • cudarc API updated to 0.18.2 (module loading, kernel launch builder pattern)
  • wgpu API updated to 27.0 (Arc-based resources)

Installation

[dependencies]
ringkernel = "0.3.0"

# Optional backends
ringkernel-cuda = "0.3.0"
ringkernel-wgpu = "0.3.0"

Documentation

Full Changelog: v0.2.0...v0.3.0

Assets 2
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