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Analysis

Tune OpenMP Performance on a Memory-Bound Genomics Pipeline

FreeVerified credential3 weeksAdvanced

Overview

What this challenge is about.

Profile a genomics pipeline across 1–64 threads, fix NUMA and false sharing bottlenecks, and deliver a scaling study for a verifiable certificate.

The scenario

The lab (publicly funded, processing roughly 4,000 patient samples/month for partners) has a 48-hour per-sample turnaround when it should be 18 — the bottleneck is on this single node.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Tune an OpenMP variant-calling pipeline from poor 16-thread scaling to at least 48-thread useful scaling on a dual-socket NUMA node.

Earning criteria — what you'll demonstrate

  • Profile OpenMP code with Intel VTune to identify memory bottlenecks
  • Apply NUMA-aware allocation on a multi-socket node
  • Identify and eliminate false sharing through padding + restructuring
  • Validate optimizations with before/after measurement, not intuition

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

High-Performance and Scientific Computing

Master · Systems

Strong alignment

This challenge maps to High-Performance and Scientific Computing at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.

Tune OpenMP Performance on a Memory-Bound Genomics Pipeline