Persistent memory allocator for data-centric analytics

Launcher utilities for HPC resources

Optimized algorithms for distributed and dense graph neural networks.

A tool for bandwidth measurements on NVIDIA GPUs.

Kosh allows codes to store, query, share data via an easy-to-use Python API. Kosh lies on top of Sina and as a result can use any database backend supported by Sina. In adition Kosh aims to make da…

NequIP is a code for building E(3)-equivariant interatomic potentials

Persistent Robin Hood Hash Table

A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion

A benchmark suite for measuring HDF5 performance.

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Caliper is an instrumentation and performance profiling library

Fast C++ logging library.

GOTCHA is a library for wrapping function calls in shared libraries

A multi-level dataflow tracer for capturing I/O calls from workflows.

Simplified Data Exchange for HPC Simulations

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

Comprehensive benchmarks of C++ maps

Fast strong hash functions: SipHash/HighwayHash

Lightweight C++ command line option parser

Machine Learning for HPC Workflows

Livermore Big Artificial Neural Network Toolkit

OpenMP implementation of Graph Community Detection, with a number of parallel heuristics/approximate computing techniques

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Zstandard - Fast real-time compression algorithm

Benchmarks of approximate nearest neighbor libraries in Python