High-Perf Computing
Definition
Use of parallel processing and specialized hardware to solve complex computational problems requiring significant processing power.
Use Cases
- NASA: Simulating space missions — NASA uses HPC clusters to run simulations of spacecraft trajectories and environmental conditions in space. (Improved accuracy in mission planning and reduced risk of mission failure.)
- CERN: Particle physics research — CERN employs HPC to analyze data from the Large Hadron Collider, processing petabytes of data to discover new particles. (Enabled the discovery of the Higgs boson and other significant scientific breakthroughs.)
Provider Equivalents
- AWS: AWS ParallelCluster
- Azure: Azure Batch
- GCP: Google Cloud HPC
- OCI: Oracle Cloud Infrastructure HPC
Frequently Asked Questions
- What's the difference between High-Perf Computing and cloud computing?
- High-Perf Computing focuses on processing power for complex tasks, while cloud computing provides scalable resources for various applications.
- When should I use High-Perf Computing?
- Use HPC when you need to process large datasets or run simulations that require significant computational power, such as scientific research or financial modeling.
- How much does High-Perf Computing cost?
- Costs vary based on the scale of resources used, duration, and provider. Pricing is typically based on compute hours, storage, and data transfer.
Category: compute
Difficulty: advanced
See Also