Stanley Seibert
Stanley Seibert is the Senior Director of Community Innovation at Anaconda, where he manages many of Anaconda's open source project maintainers. He has been a contributor to the Numba Python compiler project for 10 years, and has worked with a wide range of technologies on past projects, including GPU computing, sparse linear algebra for graph analytics, and the MLIR compiler framework. Stanley was previously trained as a high-energy physicist, working on experimental software and hardware for the study of neutrinos and dark matter.
Sessions
Speeding up Python code traditionally involves the use of Just-In-Time (JIT) or Ahead-Of-Time (AOT) compilation. There are tradeoffs to both approaches, however. As part of the Numba project's aim to create a compiler toolkit, the PIXIE project is being developed. It offers a multiple-language consuming, extensible toolchain, that produces AOT compiled binary extension modules. These PIXIE based extension modules contain CPU-specific function dispatch for AOT use and also support something similar to Link-Time-Optimization (LTO) for use in situations such as JIT compilation and/or cross module optimization. PIXIE modules are easy to load and call from Python, and can be inlined into Numba JIT compilation, giving Python developers access to the benefits of both AOT and JIT.