Cache-Optimize a Graph-Analytics Kernel for a Social Platform
Overview
What this challenge is about.
Cache-Optimize a Graph-Analytics Kernel for a Social Platform. Expert-level challenge in code. Writing production code that solves real engineering problems,...
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.
This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
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.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Cache Optimization
Apply cache optimization to solve real industry problems and demonstrate production-level capability.
- Graph Algorithms
Apply graph algorithms to solve real industry problems and demonstrate production-level capability.
- Memory Hierarchy
Apply memory hierarchy to solve real industry problems and demonstrate production-level capability.
- Cpp
Apply cpp to solve real industry problems and demonstrate production-level capability.
- Performance Optimization
Apply performance optimization to solve real industry problems and demonstrate production-level capability.
- Benchmarking
Apply benchmarking to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: