C/C++ Performance Profiler
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Updated
Aug 1, 2024 - C++
C/C++ Performance Profiler
LightSeq: A High Performance Library for Sequence Processing and Generation
Practical volume computation and sampling in high dimensions
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Vendor-neutral library for exposing power and performance features across diverse architectures
Simulation methods for legislative redistricting.
A Constrained Resampling Strategy for Mesh Improvement - SGP 2017
Linux OTF2 Sampling - A Lightweight Node-Level Performance Monitoring Tool
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
An interactive demo application for the algorithm proposed in our SIGGRAPH Asia 2017 technical paper.
Apollo: Online Machine Learning for Performance Portability
Practical volume computation and sampling in high dimensions. R interface of volesti C++ library.
DMRITool is an open souce toolbox for reconstruction, processing and visualization of diffusion MRI data (DWI, tensor, ODF,EAP, fibers etc.).
C++ MCMC sampler for the Simplicial Configuration Model
Point cloud related algorithm repository, developed based on OpenCV. Include Voxel Grid Filter Sampling, Random Sampling, Farthest Point Sampling (FPS), Total Least Squares Plane Estimate, Random Sample Consensus (RANSAC), Multi-plane Detection/Segmentation in Point Cloud...
The program STEPToPoints converts solids contained in STEP files into point clouds by regular sampling.
An implementation of the algorithm proposed in our SIGGRAPH Asia 2021 technical paper "Multi-Class Inverted Stippling".
Memory and performance profiler
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