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Name: Jake Hemstad

Type: User

Company: @NVIDIA

Bio: @NVIDIA Lead for CUDA C++ Core Libraries (CCCL) (Thrust/CUB/libcu++). CUDA C++ at the speed-of-(de)light.

Location: Minneapolis, MN

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

Revamping llm.c with the CUDA C++ Core Libraries
GTC 2024: Mastering CUDA C++: Best Practices with the CUDA C++ Core Libraries
Using CUDA Stream-Ordered Memory Allocator (Part 1)
Using CUDA Stream-Ordered Memory Allocator (Part 2)
Maximizing Performance with Massively Parallel Hash Maps on GPUs
GTC 2019: RAPIDS CUDA DataFrame Internals for C++ Developers

Connect with Me

📄 LinkedIn

Jake Hemstad's Projects

rmm

RAPIDS Memory Manager

stdgpu

stdgpu: Efficient STL-like Data Structures on the GPU

thrust

Thrust is a C++ parallel programming library which resembles the C++ Standard Library.

thrust_debug

Debugging Thrust repros

two_largest

Adventure in profiling and optimization.

vtable_benchmark

xgboost

Fork of dmlc/xgboost for RAPIDS + XGBoost integration

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