Jake Hemstad's Projects
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Reproduce segfault with nsys + Catch
CUDA C++ Core Libraries
Run compilers interactively from your web browser and interact with the assembly
Examples on how to use C-Reduce to create minimal compiler bug reproducers
Cooperative primitives for CUDA C++.
Thin C++-flavored wrappers for the CUDA Runtime API
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Benchmarks for sequential and random memory accesses to global memory
Answering "What is the faster way to return a single scalar from a kernel to host?"
Python GPU DataFrame Library
Sandbox for cudf::column design
cuGraph - RAPIDS Graph Analytics Library
cuML - RAPIDS Machine Learning Library
CUDA-accelerated GIS and spatiotemporal algorithms
CUDA Templates for Linear Algebra Subroutines
2019 Collegeville Workshop on Sustainable Scientific Software
Dask support for distributed GDF object
Template repository for CUDA enabled benchmarks using Google Benchmark
C++ Binary Fixed-Point Arithmetic
Add NVTX ranges to Python GIL
Infrastructure to set up the public Compiler Explorer instances and compilers