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docs/best_practices.md

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@@ -6,8 +6,7 @@ This document is **not intended to replace** the detailed benchmark documentatio
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## NVBench
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* Purpose-built for CUDA GPU workloads.
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* Provides GPU-aware features: warmup runs, synchronization, throughput/latency metrics, and parameter sweeps, etc.
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* Provides GPU-aware features: runtime customization, throughput calculations, and parameter sweeps, etc.
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* Produces machine-readable output (JSON, CSV) suitable for regression tracking and CI pipelines.
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* The natural choice for benchmarking GPU-accelerated code.
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* Also supports benchmarking normal CPU implementations.

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