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Cache-Optimize a Graph-Analytics Kernel for a Social Platform

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

You will cache-optimize a C++ graph kernel via reordering, blocking, and prefetching. Benchmark each step. You get a verifiable certificate.

The scenario

The platform (planning a US + South-East-Asia expansion in Q2, growing recommendation load 30 percent QoQ) cannot keep adding cores — the math is bandwidth, not parallelism.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

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

Re-design a friend-of-friend graph kernel for cache locality (reordering + blocking + prefetching) and prove 6-10x speedup with result equivalence.

Earning criteria — what you'll demonstrate

  • Distinguish bandwidth-bound vs. latency-bound kernels with perf + likwid
  • Apply vertex reordering (Gorder, RCM) to graph workloads
  • Tune cache-blocking and software prefetching for a real CPU
  • Validate optimization equivalence honestly on sampled queries

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Performance Engineering of Software Systems

Master · Systems

Strong alignment

This challenge maps to Performance Engineering of Software Systems 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.