dsp-profiler

Name: dsp-profiler
Availability: InStock
Author: bertcalm

Profile C++ audio DSP code for CPU inefficiencies and cost breakdowns.

Updated Mar 14, 2026

Search Tags:#optimization #performance analysis #cpu usage #dsp #profiler #audio code

Ready to run

npx skills add https://github.com/BertCalm/xo-ox-claude-config --skill dsp-profiler

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dsp-profiler
Source: https://github.com/BertCalm/xo-ox-claude-config/tree/main/skills/dsp-profiler
Command: npx skills add https://github.com/BertCalm/xo-ox-claude-config --skill dsp-profiler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill identifies and quantifies CPU inefficiencies within audio DSP code, providing actionable recommendations for optimization without compromising sound quality.

Core Features & Use Cases

CPU Cost Estimation: Analyzes engine source code to estimate the CPU cost of various DSP stages (filters, oscillators, modulation).
Inefficiency Identification: Detects common performance pitfalls like unnecessary allocations on the audio thread, blocking calls, and denormal number issues.
Optimization Recommendations: Suggests specific code changes, including zero-cost optimizations and quality-tradeoff options, to reduce CPU load.
Use Case: A developer can use this Skill to pinpoint why a new audio engine is consuming too much CPU, receive a detailed breakdown of costs, and get suggestions on how to make it more efficient, such as reducing voice count or optimizing filter modes.

Quick Start

Use the dsp profiler skill to profile the cpu cost of the 'my-synth-engine'.

Frequently Asked Questions about dsp-profiler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I profile DSP performance and identify CPU inefficiencies in C++ audio code?▼

Profiling DSP performance in C++ audio code involves analyzing the engine source to estimate CPU costs for filters and oscillators, detecting denormal issues and audio thread allocations, and providing optimization recommendations based on CPU Stewardship principles.

What causes high CPU usage in a real-time audio processing algorithm?▼

High CPU usage in real-time audio processing typically results from unnecessary audio thread allocations, blocking calls, denormal numbers, and inefficient DSP stages, which can be identified through source code analysis and resolved with zero-cost optimizations.

How do I optimize a JUCE audio engine to reduce CPU load without compromising sound quality?▼

Optimizing a JUCE audio engine involves profiling the DSP source code to pinpoint CPU costs and applying specific changes like zero-cost optimizations, reducing voice count, or optimizing filter modes to lower CPU load while preserving sound quality.

What are denormal issues in audio DSP code and how can I detect them?▼

Denormal issues in audio DSP code are inefficient floating-point operations that drain CPU cycles, detectable by analyzing engine source code to identify performance pitfalls alongside unnecessary audio thread allocations and blocking calls.

Can I use dsp-profiler to get a detailed cost breakdown for filters and oscillators?▼

Yes, dsp-profiler analyzes C++ audio engine source code to estimate CPU consumption and provides detailed cost breakdowns for individual DSP stages including filters, oscillators, and modulation stages.

When should I not use automated profiling for my audio engine source code?▼

Automated profiling for audio engine source code may be insufficient for highly complex, non-standard DSP architectures where dynamic runtime profiling is required to capture real-time execution bottlenecks accurately.