Tensorium_lang: compiler-visible tensor calculus for numerical relativity
A web version of the Tensorium_lang paper: an experimental MLIR-based DSL for preserving tensor structure through compiler lowering and generated numerical kernels.
I write about low-level programming, C/C++ systems work, compiler tooling, Tensorium_lib, MLIR experiments, and numerical relativity workflows that connect tensor calculus with high-performance computation.
Notes around memory layout, runtime behavior, low-level performance constraints, and code that stays close to the hardware boundary.
Experiments around compiler infrastructure for tensor calculus, lowering pipelines, vectorization, and backend design.
A web version of the Tensorium_lang paper: an experimental MLIR-based DSL for preserving tensor structure through compiler lowering and generated numerical kernels.
High-performance C++ tensor, linear algebra, and numerical relativity library with SIMD, OpenMP/MPI-oriented design, and compiler experimentation.
Experimental compiler infrastructure for tensor calculus, elliptic systems, spectral methods, and numerical relativity workflows.
Experiments around MLIR dialects, lowering pipelines, vectorization, and compiler backends.
Experiments around cache-aware kernels, vectorization, OpenMP/MPI-oriented execution, and performance constraints in numerical code.