Systems and Graphics Optimization Techniques Questions

Covers practical optimization techniques commonly used in systems engineering and real time graphics. Topics include object pooling, level of detail systems, frustum culling, spatial partitioning structures such as quadtrees and octrees, batching and texture atlasing, reducing shader complexity and when to use shaders instead of scripted effects, GPU instancing, texture compression strategies, and memory optimization. Emphasizes trade offs between micro optimization and architectural change, profiling to find hotspots, and understanding the law of diminishing returns when applying optimization effort.

EasyTechnical

0 practiced

Explain data-oriented design for game engines: how organizing data as Struct-of-Arrays (SoA) can improve cache efficiency and SIMD utilization versus traditional object-oriented AoS, and give a concrete example of transforming a particle system from AoS to SoA.

MediumTechnical

0 practiced

Compare a uniform grid, quadtree, and BVH for collision detection in a large, moderately dynamic world. Discuss insert/delete complexity, average and worst-case query speeds, memory usage, and how to choose grid cell sizes or split heuristics. Give a concrete example scenario where a tuned uniform grid outperforms a quadtree.

MediumSystem Design

0 practiced

Design a backend caching and delivery system that serves platform-specific compressed textures to game clients. Requirements: support ASTC, BC7, and ETC2; handle 100k concurrent users; average compressed texture size 1MB; achieve cache hit ratio >90%; and minimize per-region CDN costs. Describe the cache hierarchy, transcoding approach, CDN integration, cache eviction strategy, and device capability detection.

MediumTechnical

0 practiced

Your backend process experiences intermittent garbage collector pauses that spike request latency. Propose short-term and long-term mitigations covering allocation reductions, object pooling, escape analysis, GC tuning (heap size, generations), and possible migrations to alternate runtimes or languages. Discuss trade-offs and how to verify improvements.

EasyTechnical

0 practiced

Explain the difference between sampling profilers and instrumentation profilers for CPU and GPU. Give practical examples of tools you would use on Linux, Windows, and consoles, and describe when to use sampling versus instrumentation to find hotspots in rendering or backend code.

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