Andy Terrel

Andy Terrel leads NVIDIA CUDA Python from the product management team. His research focused on domain-specific languages to generate high-performance code for physics simulations with the PETSc and FEniCS projects. Andy is a leader in the Python open-source software community. He's most notably a co-creator of the Dask distributed computing framework, the Conda package manager, the SymPy symbolic computing library, and NumFOCUS foundation.
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Posts by Andy Terrel

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Developer Tools & Techniques

cuTile.jl Brings NVIDIA CUDA Tile-Based Programming to Julia

NVIDIA CUDA Tile is one of the most significant additions to NVIDIA CUDA programming and unlocks automatic access to tensor cores and other specialized... 5 MIN READ
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Developer Tools & Techniques

Delivering the Missing Building Blocks for NVIDIA CUDA Kernel Fusion in Python

C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code... 5 MIN READ