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  1. Quadrants — Quadrants 1.0.3 documentation

    Quadrants # Quadrants is a high-performance parallel programming framework for GPU and CPU computing. Write Python-like code that compiles to optimized GPU kernels for CUDA, Metal, and …

  2. User guide — Quadrants 1.0.3 documentation

    Core concepts Tensor types Scalar tensors Matrix and Vector Advanced Per-thread matrix and vector operations Per-thread linear algebra Tensors Compound types BufferView qd.static Sub-functions …

  3. Getting started — Quadrants 1.0.3 documentation

    Getting started # Installation # Pre-requisites # a supported platform (MacOS ARM64, Linux x64, Windows x64), see Supported systems a supported Python version installed, see Supported systems …

  4. Algorithms — Quadrants 1.0.3 documentation

    Algorithms # Device-wide algorithms are primitives that consume and produce whole arrays, executed as one or more kernel launches under the hood. They sit one tier above block and subgroup …

  5. Automatic differentiation — Quadrants 1.1.0 documentation

    Automatic differentiation # Automatic differentiation (autodiff) computes the exact gradient of a kernel’s output with respect to its inputs, without the user writing the derivative formulas by hand. Gradient …

  6. Matrix and Vector — Quadrants 1.0.3 documentation

    Matrix and Vector # Quadrants provides qd.Matrix and qd.Vector types for small, fixed-size linear algebra inside kernels. These are stored in GPU registers and are unrolled at compile time, so they …

  7. Matrix decompositions and solvers — Quadrants 0.7.9 documentation

    Matrix decompositions and solvers # Small matrix decompositions and linear solvers — the kinds of operations a thread does on a 2×2 or 3×3 matrix held in registers. They are a different category from …

  8. Block primitives — Quadrants 1.0.1 documentation

    Block primitives # Block-level primitives operate on the threads of a single CUDA thread block (CTA) / AMDGPU workgroup / Vulkan or Metal workgroup. They include thread barriers, memory fences, …

  9. Per-thread matrix and vector operations — Quadrants 1.0.1 …

    Per-thread matrix and vector operations # Element-wise arithmetic and closed-form helpers on qd.Matrix / qd.Vector — every op below runs per thread, in registers, with no cross-thread cooperation. A …

  10. qd.init options — Quadrants 1.0.3 documentation

    Metal and Vulkan lack the assertion extension that the field-bounds check relies on; check_out_of_bound=True is silently reset to False on those backends at qd.init time and a warning …

  11. Graph — Quadrants 1.0.3 documentation

    Graph # Graphs reduce kernel launch overhead by capturing a sequence of GPU operations into a graph, then replaying it in a single launch. Backend support # Both features run on every backend. …