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Implement core graph algorithms for graphics

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in core graph algorithms (topological sort, BFS/DFS, and shortest-path algorithms like Dijkstra), understanding of time/space complexity, memory layout trade-offs (CSR vs adjacency lists), and parallel traversal strategies for CPU and GPU.

  • Medium
  • NVIDIA
  • Coding & Algorithms
  • Software Engineer

Implement core graph algorithms for graphics

Company: NVIDIA

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Take-home Project

Given a scene or dependency graph, implement topological sort, BFS/DFS, and shortest path (Dijkstra). Discuss time/space complexity, memory layouts (CSR vs adjacency lists), and how you would parallelize traversals on CPU vs GPU while avoiding contention and ensuring determinism in a test framework.

Quick Answer: This question evaluates proficiency in core graph algorithms (topological sort, BFS/DFS, and shortest-path algorithms like Dijkstra), understanding of time/space complexity, memory layout trade-offs (CSR vs adjacency lists), and parallel traversal strategies for CPU and GPU.

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NVIDIA logo
NVIDIA
Aug 9, 2025, 12:00 AM
Software Engineer
Take-home Project
Coding & Algorithms
5
0

Given a scene or dependency graph, implement topological sort, BFS/DFS, and shortest path (Dijkstra). Discuss time/space complexity, memory layouts (CSR vs adjacency lists), and how you would parallelize traversals on CPU vs GPU while avoiding contention and ensuring determinism in a test framework.

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