luisacompute
High-Performance Rendering Framework on Stream Architectures
Discover how the DeviceInterface abstraction in Luisa Compute isolates the runtime from GPU specifics. Enable platform-specific backends like CUDA, Metal, and DirectX with a unified API.
How to Implement Multi-Stage Programming Patterns Using Native C++ Control Flows as Meta-Stages in Luisa ComputeImplement multi-stage programming patterns in Luisa Compute using native C++ control flows like if and for loops. The compiler automatically creates meta-stages and inserts synchronization barriers for efficient GPU kernel exec...
What is XIR and How Does It Enable Advanced Compiler Optimizations in LuisaCompute?Discover XIR, LuisaCompute's SSA-based intermediate representation enabling advanced platform-agnostic compiler optimizations like dead-code elimination and automatic differentiation before code generation.
How to Handle Resource Lifetimes to Avoid Dangling References in Async Command Submission in Luisa ComputeAvoid dangling references in Luisa Compute async command submission. Learn to manage resource lifetimes with CommandList::commit and Luisa compute fibers for safe GPU dispatch.
How to Debug Shaders Using Backend-Specific Profiling Tools in Luisa ComputeDebug shaders efficiently using backend-specific profiling tools like Nsight, PIX, and Xcode. Enable validation for automatic markers in GPU captures. Learn more with Luisa Compute.
Understanding the LuisaCompute IR Pass System: Implementing Custom DCE and Mem2Reg TransformationsExplore the LuisaCompute IR pass system for XIR transformations. Learn to implement custom DCE and Mem2Reg optimizations using XIRBuilder and DomTree for efficient code enhancement.
How the LuisaCompute `Tensor` Class Implements 1D, 2D, and 3D Convolutions with PaddingDiscover how the LuisaCompute Tensor class expertly handles conv_1d, conv_2d, and conv_3d operations with padding by examining its private pad helper and dimension-specific loops in expression.cpp.
How to Implement Fused Activation Functions in Tensor Matrix Operations in LuisaComputeLearn how to implement fused activation functions in tensor matrix operations within LuisaCompute. Optimize matrix multiplication and activation with single kernel launches for reduced latency.
Best Practices for Kernel Optimization in LuisaCompute: Memory Coalescing, Occupancy, and DivergenceOptimize LuisaCompute kernels with best practices for memory coalescing, occupancy, and divergence. Learn how to maximize performance for your GPU computations.
How the LuisaCompute Backend Code Generation Pipeline Translates AST to PTX, HLSL, and MSLExplore the LuisaCompute backend pipeline translating AST to PTX, HLSL, and MSL. Discover XIR, LLVM PTX generation, custom HLSL emitters, and SPIR-V for Metal.
Luisa Compute DSL Control Flow Limitations: $if, $while, and $for vs Native C++Explore Luisa Compute DSL control flow limitations ($if $while $for) vs native C++. Understand single statement constraints and discover when to use C++ for complex logic.
How to Implement Ray Tracing Using Mesh and Accel Acceleration Structures in Luisa ComputeLearn to implement ray tracing in Luisa Compute using Mesh and Accel acceleration structures. Upload buffers, wrap in Accel, build, and query intersect() within kernels.
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