Ecosyste.ms sponsors
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Funding Links: https://github.com/sponsors/wsmoses
I'm Ph.D. Candidate at MIT working at intersection of computer systems and machine learning, developing systems that automatically enable non-experts to leverage the latest in high-performance computing and ML. A couple of my recent projects include Enzyme (NeurIPS '20, SC '21), an automatic differentiation tool for LLVM capable of differentiating code in a variety of languages, after optimization, and for a variety of architectures (CPU and GPU), Polygeist (PACT '21), a polyhedral C/C++ compiler for MLIR, the Tensor Comprehensions framework for synthesizing high-performance GPU kernels of ML code, the Tapir compiler for parallel programs (best paper at PPoPP '17), among other fun projects.
High-performance automatic differentiation of LLVM and MLIR.
Language: LLVM - Stars: 1290The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Language: LLVM - Stars: 29327Tapir extension to LLVM for optimizing Parallel Programs
Language: LLVM - Stars: 132Julia bindings for the Enzyme automatic differentiator
Language: Julia - Stars: 458