Design a profiling plan for kernels

Quick Overview

This question evaluates competency in performance profiling, experimental design, microarchitectural analysis, statistical methodology, and kernel-level performance engineering.

Design a profiling plan for kernels

Company: Anthropic

Role: Software Engineer

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

Given only a kernel simulator that reports cycle counts and counters such as IPC, stall reasons, occupancy, and memory bandwidth, outline a rigorous profiling and experimentation plan. Define the baseline, select experiments with controlled variables, specify data collection, variance reduction, stop criteria, and methods to attribute speedup to specific changes. Explain how you ensure functional correctness after each iteration.

Quick Answer: This question evaluates competency in performance profiling, experimental design, microarchitectural analysis, statistical methodology, and kernel-level performance engineering.

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Sep 6, 2025, 12:00 AM
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Rigorous Profiling and Experimentation Plan for a Kernel Simulator

You are given only a kernel simulator that reports cycle counts and microarchitectural counters such as IPC, stall reasons, occupancy, and memory bandwidth. Design a rigorous plan to profile and optimize a compute kernel using this simulator.

Provide:

  1. Baseline definition and environment control.
  2. Experiment design with controlled variables (including screening vs. deep dives).
  3. Data collection schema and derived metrics.
  4. Variance reduction and statistical methodology.
  5. Stop criteria for iterations.
  6. Methods to attribute speedup to specific changes (including decomposition and ablation).
  7. Functional correctness checks after each iteration.

Make minimal, explicit assumptions if necessary to ensure the plan is self-contained.

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