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Hermes

Heterogeneous-aware multi-tiered distributed I/O buffering system for optimizing data movement in HPC environments.

Overview​

Hermes is a distributed I/O buffering system that intelligently manages data across multiple storage tiers. It provides intelligent buffering for HPC workloads, improving I/O performance through adaptive prefetching and caching strategies.

Key Features​

  • Multi-Tiered Storage: Intelligent data placement across heterogeneous storage hierarchies
  • Distributed Architecture: Coordinate I/O buffering across multiple nodes
  • Adaptive Prefetching: Learn access patterns and prefetch data proactively
  • Performance Optimization: Minimize I/O bottlenecks in scientific simulations
  • Transparent Integration: Works with existing HPC applications

Technology Stack​

  • Language: C++
  • Tags: HPC, I/O Optimization, Distributed Storage, Performance, MPI
  • Source Organization: GRC

Repository​

📦 GitHub: grc-iit/hermes

Use Cases​

  • Accelerating I/O-intensive scientific simulations
  • Optimizing data movement in multi-tier storage systems
  • Improving performance of data-intensive HPC applications
  • Reducing data movement costs in large-scale computing

Getting Started​

Visit the Hermes GitHub repository for installation, documentation, and performance tuning guides.

Publications & Resources​

Hermes is actively used in production HPC environments. Check the repository for research papers, benchmarks, and case studies.

Status​

Production - Mature and actively maintained