Main Definition
High Performance Computing (HPC) links thousands of processors into clusters or supercomputers so that massive workloads can be split into smaller tasks and run simultaneously.
HPC exists because some problems simply will not finish on a single machine in any reasonable timeframe. Climate simulations, genomics pipelines, computational fluid dynamics, and large-scale AI training all fall into this category. By distributing work across thousands of processors, HPC systems turn months of computation into hours or days.
Getting that parallelism to work requires more than just adding servers. HPC environments depend on high core count processors, low-latency interconnects so nodes can communicate without bottlenecks, parallel file systems like Lustre and GPFS, Weka and VAST, and job schedulers that assign work across the cluster. The data these systems produce is almost entirely unstructured, often reaching petabytes or exabytes, which makes storage management, governance, and simple visibility into what exists genuinely difficult at that scale.
Starfish has been adopted by the most complex and fast changing HPC environments in the world, including Top500 supercomputers, DOE national laboratories, and major research universities, to provide near real-time visibility, data movement, storage optimization, and job automation across their environments.
Related Links
- Top500 | Top500 Project
- What is High-Performance Computing | USGS
