Accelerating Discovery,
Reducing Costs,
Improving Efficiency
Focuses on developing a high-performance computing data center and
AI infrastructure prototype that demonstrates the feasibility of using variable energy
for advanced computing tasks, with the goal of reducing costs and improving efficiency.
Latest Innovations
Discover Our Cutting-edge
HPC Data Center and AI Infrastructure Management Technologies
Remote Data Center Management
Effective management of data centers powered by variable energy necessitates advanced remote monitoring and control systems. REPACSS is developing sophisticated tools that enable real-time oversight and intervention, ensuring optimal performance, swift issue resolution, and seamless adaptation to the variable energy availability.
Workflow Scheduling Integration
Aligning computational workloads with fluctuating energy availability is critical for efficiency. REPACSS is creating intelligent scheduling algorithms that synchronize scientific computing tasks with energy production forecasts. This integration enhances resource utilization, minimizes downtime, and leverages periods of peak energy generation.
Checkpointing and Restore Techniques
To safeguard ongoing computations against potential energy disruptions, REPACSS is implementing advanced checkpointing and restore methods. These techniques allow scientific applications to save their current state periodically, facilitating rapid recovery and continuity in the event of power variability, thereby ensuring data integrity and computational reliability.