HPCsystem

HPCsystem is a term used to describe high-performance computing systems designed to run tightly coupled parallel workloads. It includes clusters, supercomputers, and large compute farms that enable large-scale simulations and data analysis by distributing work across many nodes.

Architecture: HPCsystem configurations are built from compute nodes connected by high-speed networks (Infiniband, Omni-Path, 100 Gb Ethernet). Nodes contain CPUs and often accelerators like GPUs or FPGAs. Storage uses parallel file systems (Lustre, GPFS). Power and cooling are optimized with advanced techniques.

Software: The typical software stack runs Linux, with resource managers such as Slurm or PBS, MPI libraries, and threading models like OpenMP. Accelerators use CUDA or ROCm. Portability is enhanced with container environments (Singularity). Software stacks are often managed with module systems to switch between toolchains.

Performance and benchmarks: Performance is measured in floating-point operations per second (FLOPS). Standard benchmarks include LINPACK (HPL) for peak performance and HPCG for memory- and network-limited workloads. Scalability is described as strong or weak, with metrics on network and I/O efficiency.

Use and deployment: HPCsystem supports scientific simulation, computational chemistry, physics, climate modeling, genomics, and AI workloads. They can be deployed on premises at research centers or accessed as cloud-based HPC services. Typical configurations range from a few hundred to tens of thousands of nodes.