Performance Analysis
If you like applying Performance Analysis, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisAdvancedNew
Tune OpenMP Performance on a Memory-Bound Genomics Pipeline
Profile the existing pipeline at 1, 4, 8, 16, 32, 48, 64 threads using Intel VTune + Linux perf. Identify the bottlenecks (likely candidates: NUMA-unaware memory allocation, fal…
- Openmp
- Numa Awareness
- False Sharing
High-Performance and Scientific Computing - DesignAdvancedNew
Design Parallel I/O for a Climate-Simulation Data Pipeline
Analyze the current I/O pattern: each MPI rank writes its own file via serial HDF5 (the classic anti-pattern). Design a single shared file using parallel HDF5 + MPI-IO with coll…
- Mpi Io
- Parallel Hdf5
- Lustre Filesystem
High-Performance and Scientific Computing - AnalysisAdvancedNew
Tune Consistency Levels for a Global Ride-Hailing Platform
Receive an anonymized topology export (3 regions, RF=3 per region) plus 7 days of query traces tagged by class. Reproduce the matching anomaly in a Kubernetes-based test cluster…
- Consistency Models
- Cassandra
- Distributed Tracing
Distributed Systems - AnalysisAdvancedNew
Debug Latency Tail With Distributed Tracing on a Logistics SaaS
Receive 7 days of anonymized trace data in Tempo, the service map (12 services), and the customer complaint log. Investigate: filter the slowest 1 percent of traces, identify th…
- Distributed Tracing
- Performance Analysis
- Tempo
Software Observability Practice your coursework on real scenarios.
Every challenge is shaped from real industry context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisExpertNew
Diagnose Clock Skew in a HFT Order Matching System
Receive anonymized PTP grandmaster + slave logs (nanosecond resolution, 30 days, 3 cabinets) plus a synthetic order-flow generator. Identify the drift pattern (likely candidate:…
- Logical Clocks
- Ptp Time Sync
- Cpp Programming
Distributed Systems - AnalysisAdvancedNew
Design a Custom Page-Replacement Policy for a Tier-1 Cloud Provider Simulator
Use the provided simulator (Python harness wrapping a C++ page-cache model) and the team's 3 anonymized workload traces (web-cache, key-value store, batch analytics). Implement …
- Memory Management
- Page Replacement
- Benchmarking
Operating Systems
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
Hiring from this pool?
Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.