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High-Performance Computing (HPC)

Definition
AI-generated

High-Performance Computing (HPC) refers to using clusters or supercomputers to run large, compute-intensive workloads in parallel across many CPUs and/or GPUs.

Topics
Compute and Hardware Bioinformatics
Synonyms
HPC Supercomputing
Related
CPU GPU Compute Cluster

Why it matters in GWAS

Modern GWAS pipelines often process biobank-scale cohorts, whole-genome sequencing data, and large imputation or post-GWAS analyses that are too slow or memory-intensive for a single workstation.

Example usage

"We submitted the chromosome-wise association scans to the HPC cluster and aggregated the results after all jobs finished."

CPU GPU Compute Cluster Compute Unified Device Architecture (CUDA) Slurm Docker Apptainer Genome-Wide Association Study (GWAS)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Eijkhout V, van de Geijn R, Chow E. (2018). Introduction to High Performance Scientific Computing.
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