IOWarp Core: High-performance distributed I/O and task execution runtime
Project description
IOWarp Core
High-performance distributed I/O and task execution runtime for scientific computing and HPC workloads.
Overview
IOWarp Core is a PyPI package that provides automated installation and build management for the complete IOWarp ecosystem. It orchestrates the compilation and installation of four core C++ components:
- Context Transport Primitives - High-performance shared memory library with IPC-safe containers and synchronization primitives
- Runtime - Distributed task execution runtime with microsecond-level latencies
- Context Transfer Engine - Multi-tiered, heterogeneous-aware I/O buffering system
- Context Assimilation Engine - Data ingestion and processing engine for heterogeneous storage systems
All components are built from source using CMake with minimalistic dependencies (no CUDA, ROCm, compression, or encryption by default).
Features
- Automated Build Process: Clones, builds, and installs all components in the correct dependency order
- CMake Integration: Seamlessly integrates C++ CMake projects with Python packaging
- Minimalistic Dependencies: Built without optional features (CUDA, ROCm, MPI, ZMQ) for easier deployment
- Performance-Oriented: All components optimized for HPC and scientific computing workloads
Requirements
System Requirements
- CMake ≥ 3.10
- C++17 compatible compiler (GCC ≥9, Clang ≥10, MSVC ≥2019)
- Git (for cloning component repositories)
- Python ≥ 3.8
Operating Systems
- Linux (Ubuntu 20.04+, CentOS 8+, or similar)
Installation
From PyPI
pip install iowarp-core
License
BSD License - See LICENSE file for details.
Note: Individual IOWarp components may have different licenses (typically BSD-3-Clause). Please refer to each component's repository for specific licensing information.
Links
- GitHub Organization: https://github.com/iowarp
- Issue Tracker: https://github.com/iowarp/iowarp/issues
Credits
Developed by the Gnosis Research Center at Illinois Institute of Technology and the IOWarp community.
Release history Release notifications | RSS feed
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