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Hello, I'm jrhemstad 👋

About Me

  • 🔭 I'm currently the Engineering Manager for the team that maintains the CUDA C++ Core Libraries at NVIDIA.
  • 🌱 Previously, I was deeply involved in the RAPIDS ecosystem, where I was a primary maintainer and designer for the libcudf and RMM libraries.
  • 🚀 I helped kickstart and maintain the cuCollections project for GPU-acelerated data structures like hash tables.
  • 💡 I'm passionate about building high-quality, high-performance CUDA C++ software.
  • 🎯 My mission is to make CUDA C++ more delightful for developers.

Publications & Presentations

Connect with Me

jrhemstad's GitHub stats

Jake Hemstad's Projects

cccl icon cccl

CUDA C++ Core Libraries

compiler-explorer icon compiler-explorer

Run compilers interactively from your web browser and interact with the assembly

creduce-example icon creduce-example

Examples on how to use C-Reduce to create minimal compiler bug reproducers

cub icon cub

Cooperative primitives for CUDA C++.

cuda-quantum icon cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cuda_scalar_result icon cuda_scalar_result

Answering "What is the faster way to return a single scalar from a kernel to host?"

cudf icon cudf

Python GPU DataFrame Library

cugraph icon cugraph

cuGraph - RAPIDS Graph Analytics Library

cuml icon cuml

cuML - RAPIDS Machine Learning Library

cuspatial icon cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

cw3s19 icon cw3s19

2019 Collegeville Workshop on Sustainable Scientific Software

dask_gdf icon dask_gdf

Dask support for distributed GDF object

infra icon infra

Infrastructure to set up the public Compiler Explorer instances and compilers

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