Understanding High‑Performance Computing (HPC): Principles, Architecture, and Applications

AMD and Intel dominate the x86 ecosystem; for background on Intel CPUs see the linked article.

High‑performance computing (HPC) accelerates scientific breakthroughs by enabling simulations and analyses that would otherwise take years, reducing drug development to days, designing new materials, and improving weather prediction.

Supercomputers represent the pinnacle of HPC, with clusters containing tens of thousands of processors and costs reaching up to $100 million.

How High‑Performance Computing Works

HPC processes information mainly in two ways:

Serial processing performed by a central processing unit (CPU), where each core handles one task at a time and runs operating systems and basic applications.

Parallel processing that leverages multiple CPUs or graphics processing units (GPUs). GPUs, originally designed for graphics, execute many arithmetic operations simultaneously on data matrices and are well‑suited for machine‑learning workloads such as video object detection.

Breaking the limits of supercomputing requires heterogeneous architectures that combine CPUs and GPUs, interconnected by ultra‑high‑bandwidth links to enable massive parallelism.

Performance is measured in FLOPS (floating‑point operations per second). As of early 2019, top‑tier supercomputers achieve 143.5 PetaFLOPS (10¹⁵ FLOPS). By comparison, high‑end gaming desktops deliver around 200 GigaFLOPS (10⁹ FLOPS), making them over a million times slower. The next milestone, exa‑FLOPS (10¹⁸ FLOPS), would be roughly 1,000 times faster than current petascale systems and would require about 5 million desktop machines each providing 200 GigaFLOPS.

Achieving such speeds demands careful system design: high memory bandwidth, efficient interconnects between nodes, and sufficient data throughput to keep processors fed.

Terminology

High‑Performance Computing (HPC): Powerful computing systems ranging from a single CPU with multiple GPUs to world‑leading supercomputers.

Supercomputer: The most advanced HPC machines, continuously pushing performance boundaries.

Heterogeneous Computing: Architectures that combine serial (CPU) and parallel (GPU) processing for optimal performance.

Memory: Fast storage within HPC systems for rapid data access.

Interconnect: Network layers that enable communication between processing nodes, critical in supercomputers.

Petascale: Systems designed to perform 10¹⁵ operations per second.

Exascale: Systems designed to perform 10¹⁸ operations per second.

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AMD chip technology architecture collection:

AMD EPYC 7003 series processor architecture

AMD EPYC evolution

AMD RDNA whitepaper

AMD high‑performance EPYC 7003 series processor

Storage‑centric AMD EPYC architecture

AMD hyper‑converged infrastructure

AMD semiconductor overview

AMD high‑performance computing (HPC)

AMD DNA architecture for data centers

Source: 智能计算芯世界 (Intelligent Computing Chip World).