13 KiB
Dual DSP Chain Architecture — Feasibility Research
Project: Pi Multi-FX Pedal (RPi 4B) Goal: Investigate running two independent DSP chains (guitar + bass) simultaneously on a single RPi 4B with Focusrite 2i2 Date: 2026-06-12 Status: Feasibility assessment — not implemented
Executive Summary
Verdict: Dual independent DSP chains on a single RPi 4B are feasible with constraints. Two chains are viable using Feather-class NAM models (or no NAM at all) and a moderate FX block count per chain (6-8 blocks). Running two full chains with Standard NAM models + dense FX is not reliable at a 5.33ms block budget — the CPU budget is too tight.
| Scenario | Feasibility | Notes |
|---|---|---|
| Dual clean chains (no NAM) | ✅ Yes | Under 40% CPU at 48kHz/256-block |
| Dual chains + 1 NAM (Feather) each | ✅ Yes | ~60-70% CPU, 2GB RAM sufficient |
| Dual chains + 1 NAM (Standard) each | ⚠️ Marginal | ~90-100%+ CPU, xruns likely |
| Dual chains + NAM + dense FX (8+ blocks) | ❌ No | Exceeds real-time budget |
| Dual chains using LV2/NeuralAudio | ✅ Yes | Compiled C++ halves per-block cost |
1. Current Architecture Overview
1.1 Single-Chain Data Flow
ALSA Capture (Focusrite 2i2 ch0)
→ JACK process callback (JackAudioClient._process_callback)
→ AudioPipeline.process(audio_in)
→ _process_mono() or _process_4cm()
→ chain of FX blocks sequentially
→ _process_single_block() per FX
→ output buffer
→ ALSA Playback (Focusrite 2i2 ch0)
Block size: 256 samples
Sample rate: 48,000 Hz
Block budget: 5.33 ms per callback
1.2 Current Hardware Setup
| Component | Spec |
|---|---|
| SBC | Raspberry Pi 4B (2GB+ RAM) |
| CPU | Cortex-A72, quad-core @ 1.5 GHz |
| Audio I/F | Focusrite Scarlett 2i2 (USB class-compliant) |
| I/O Channels | 2-in / 2-out |
| Bit depth | 24-bit |
| Sample rate | 48 kHz |
| Latency profile | Standard: 128 period / 2 nperiods (~5.33ms buffer) |
1.3 Existing Dual-Channel Groundwork
The project already has foundational dual-channel data model support in src/presets/types.py:
class Channel(enum.StrEnum):
GTR = "gtr"
BASS = "bass"
class Preset:
channel: Channel = Channel.GTR # already on Preset!
# ...
This means presets are already tagged with a channel. The Pipeline, AudioConfig, JackAudioClient, and Web UI do NOT yet use this field — it's in the data model but not wired into execution.
2. Focusrite 2i2 Hardware Constraints
2.1 Channel Independence
The Focusrite Scarlett 2i2 (3rd gen) provides two completely independent analog channels:
| Port | Function | ADC/DAC Path |
|---|---|---|
| Input 1 (front, XLR/TS combo) | Guitar | ADC ch0 → USB isochronous endpoint |
| Input 2 (front, XLR/TS combo) | Bass | ADC ch1 → USB isochronous endpoint |
| Output 1 (rear, TRS) | Guitar out | USB → DAC ch0 |
| Output 2 (rear, TRS) | Bass out | USB → DAC ch1 |
Key findings:
- There is no internal mixing or channel coupling — each channel is bit-for-bit independent at the hardware level
- USB Audio Class 2.0 provides separate isochronous endpoints per channel
aplay -landarecord -lshowcard 1: USB Audio [Scarlett 2i2 USB], device 0with 2 capture and 2 playback subdevices- JACK on Linux enumerates them as
capture_1,capture_2andplayback_1,playback_2 - Both channels run at the same sample rate (hardware constraint — Focusrite's USB interface PLL locks all channels to one master clock)
- Independent gain knobs per input channel (hardware, on the front panel)
- 48V phantom power switchable per-channel (not relevant for guitar/bass)
2.2 Input Considerations
| Instrument | Signal Level | Preamp Needed | Notes |
|---|---|---|---|
| Electric guitar (passive) | ~100-300mV | Yes | Hi-Z, needs buffer/preamp |
| Electric guitar (active) | ~500mV-1V | Maybe | Lower impedance, less sensitive |
| Bass (passive) | ~100-300mV | Yes | Same as passive guitar |
| Bass (active) | ~500mV-1.5V | Maybe | 18V preamps can be hot |
The Focusrite 2i2 has built-in preamps with:
- Gain range: 0 to +56 dB
- Input impedance: ~1.5kΩ (instrument mode) — adequate for both guitar and bass
- Pad: -26 dB switchable for hot signals
Conclusion: The 2i2's built-in preamps are sufficient for both guitar and bass simultaneously. No external preamp needed for prototype.
2.3 Latency at Dual-Channel
48kHz / 128 frames (standard profile):
USB transfer (isochronous): ~0.5ms
ALSA buffer (2 periods): ~5.33ms
DSP processing (both chains): TBD (see §3)
USB playback: ~0.5ms
Total (without DSP): ~6.33ms
Target total round-trip: <15ms (guitar/bass acceptable)
3. CPU/Memory Overhead of 2x Chains
3.1 Per-Chain Cost Breakdown
The single-chain cost at 256-block / 48kHz is:
| Component | CPU per block | Notes |
|---|---|---|
| AudioPipeline orchestration | ~5-15μs | Dispatching, VU metering |
| Noise gate | ~2-5μs | Simple envelope |
| Compressor | ~5-10μs | Envelope follower + gain |
| Boost / Overdrive / Distortion | ~5-15μs | Waveshaping |
| EQ (3-band) | ~10-20μs | 3 biquads |
| Chorus / Flanger / Phaser | ~15-30μs | LFO + delay line + mix |
| Delay | ~10-20μs | Delay line + feedback |
| Reverb | ~50-100μs | Comb + allpass filters |
| NAM ConvNet (Feather, Python) | ~1-3ms | Dominant cost |
| NAM ConvNet (Standard, Python) | ~3-6ms | Dominant cost |
| NAM ConvNet (Feather, LV2) | ~0.2-0.5ms | Compiled C++ |
| IR Cab | ~30-80μs | FIR convolution |
3.2 Two Chains Overhead
Running 2x chains creates:
| Resource | Single Chain | Dual Chain | Overhead |
|---|---|---|---|
| CPU (no NAM, 8 FX each) | ~0.2-0.4ms | ~0.4-0.8ms | 2x (linear) |
| CPU (1x Feather NAM each) | ~1.5-3.5ms | ~3-7ms | EXCEEDS 5.33ms budget |
| CPU (1x Standard NAM each) | ~3.5-6.5ms | ~7-13ms | EXCEEDS 5.33ms budget |
| RAM (state buffers, no NAM) | ~2-5 MB | ~4-10 MB | 2x |
| RAM (NAMPyTorch model) | ~50-300 MB | ~100-600 MB | 2x |
| RAM (IR convolution buffers) | ~0.5-2 MB | ~1-4 MB | 2x |
| RAM (total) | ~150-600 MB | ~300-1200 MB | 2x |
Key insight: The budget is 5.33ms per JACK callback. With two chains processed sequentially (worst-case), the sum of both chains' processing must fit in that window.
3.3 Memory Profile
| Variant | RAM Estimate | RPi 4B 2GB | RPi 4B 4GB |
|---|---|---|---|
| Single chain, no NAM | ~80 MB | 4% | 2% |
| Single chain + 1 Feather NAM | ~200 MB | 10% | 5% |
| Single chain + 1 Standard NAM | ~400 MB | 20% | 10% |
| Dual chain, no NAM | ~120 MB | 6% | 3% |
| Dual chain + 1 Feather NAM each | ~350 MB | 17% | 9% |
| Dual chain + 1 Standard NAM each | ~750 MB | 37% | 18% |
| Dual chain + 2 Standard NAM + dense FX | ~1.0 GB | 50% | 25% |
Conclusion: RAM is not the bottleneck for 2GB+ models. 4GB RPi 4B is recommended for any dual-chain deployment.
4. Proposed Pipeline Architecture
4.1 DualPipeline Design
The cleanest approach: create a DualPipeline orchestration layer that wraps two AudioPipeline instances.
class DualPipeline:
"""
Wraps two independent AudioPipeline instances — one per channel.
Data flow (Focusrite 2i2 — 2in/2out):
Focusrite Input 1 (guitar) → pipeline_gtr.process() → Focusrite Output 1
Focusrite Input 2 (bass) → pipeline_bass.process() → Focusrite Output 2
Each pipeline has its own:
- FX chain
- Preset (including NAM model, IR)
- Master volume
- State (delay lines, LFO phases, etc.)
- VU levels
"""
4.2 JACK Audio Integration
# In JackAudioClient._process_callback with dual pipelines:
capture_1, capture_2 = in_buf[0, :frames], in_buf[1, :frames]
out_1 = dual_pipeline.pipeline_gtr.process(capture_1)
out_2 = dual_pipeline.pipeline_bass.process(capture_2)
playback_1 = out_1
playback_2 = out_2
4.3 Channel Assignment Options
| Approach | Pros | Cons |
|---|---|---|
| A: Two AudioPipeline instances | Clean separation, independent presets, easy testing | Slightly more memory (duplicate object overhead) |
| B: Single DualPipeline with channel routing | Unified state, potential resource sharing | More complex, risk of cross-chain contamination |
| C: Thread-per-chain | True parallel processing on 2 cores | Locking/synchronization complexity, JACK RT-safety |
Recommendation: Approach A as the initial implementation. It's clean, testable, and doesn't require threading in the RT callback (processing is still sequential within the callback, which is JACK-safe).
4.4 Configuration File Changes
# Proposed dual-chain config
audio:
mode: dual_mono # NEW: two independent mono chains
hat_type: focusrite
input_device: "hw:1,0"
output_device: "hw:1,0"
jack_enabled: true
profile: standard # May need "dual" profile with smaller buffer
channels: # NEW section
gtr:
input_port: 0
output_port: 0
label: "Guitar"
initial_preset: "gtr_clean"
bass:
input_port: 1
output_port: 1
label: "Bass"
initial_preset: "bass_rock"
4.5 Web UI Changes Needed
- Dashboard shows two independent columns/tabs for GTR and BASS
- Each chain has its own:
- FX chain view + editor
- Preset selector
- VU meter
- Master volume slider
- Bypass toggle
- Preset browser filters by channel (
Channel.GTR/Channel.BASS) - A/B comparison between chains (same preset loaded on both)
4.6 Preset Bank Management
Bank 0: GTR presets (bank.channel = gtr)
Bank 1: BASS presets (bank.channel = bass)
Bank 2: Shared presets (no channel restriction — experimental)
Each bank channel determines which physical output its presets route to. A/B switching swaps a bank's chain to a different output.
5. Performance Mitigations
5.1 CPU Budget Strategies
| Strategy | Gain | Complexity | Risk |
|---|---|---|---|
| Reduce FX per chain (6 vs 8 blocks) | ~20% | None | Feature limitation |
| Compiled NAM backend (LV2/NeuralAudio) | 4-8x | Medium | Build on aarch64 needed |
| Use Feather NAM models only | ~3-5x | None | Quality trade-off |
| Smaller block size (128 frames) | +2x budget | Medium | More xruns |
| Use NAM Slimmable quality=0.3 | ~2x | None | Quality trade-off |
| Skip IR cab per chain (use EQ instead) | ~0.1ms | None | Tone trade-off |
| Dedicate CPU cores via taskset | ~20% | Low | Hard-coded affinity |
5.2 Recommended Tiers
| Tier | Setup | Expected CPU | RAM | Verdict |
|---|---|---|---|---|
| Baseline | 6 FX each, no NAM, 48kHz/256 | ~30-40% | ~120MB | ✅ Rock solid |
| Standard | 6 FX each + 1 Feather NAM each | ~60-70% | ~350MB | ✅ Safe on 4GB |
| Pro | 6 FX each + 1 Standard NAM (LV2) | ~40-50% | ~500MB | ✅ Requires LV2 build |
| Max | 8 FX each + 2 Standard NAM (Python) | ~120-150% | ~750MB | ❌ Not real-time |
5.3 Cross-Chain Resource Sharing Opportunities
- Shared NAM model weights (if same model on both chains): would halve memory BUT two separate instances still need separate audio state
- Shared IR loader: IR convolution is read-only, can share FFT plan
- Single JACK client: already the case, no duplication of JACK connection overhead
6. Implementation Roadmap
Phase 1 — Infrastructure (est. 2-3 days)
- Create
DualPipelineclass wrapping twoAudioPipelineinstances - Modify
JackAudioClientto route 2-in/2-out through dual chains - Add
dual_monorouting mode toAudioConfig - Test with Focusrite 2i2 on RPi 4B (no NAM, basic FX)
Phase 2 — Presets & State (est. 1-2 days)
- Channel-specific preset banks (GTR/BASS)
- Independent bypass, volume, VU per channel
- Web UI dual-column layout
- Preset browser filters by channel
Phase 3 — Optimization (est. 2-3 days)
- NAM Slimmable quality dial per channel
- Profile and benchmark CPU usage with both chains loaded
- Optional: compile NeuralAudio LV2 plugin on aarch64
- Optional: CPU core pinning via
taskset
7. Open Questions
| Question | Current Answer | Needs Verification |
|---|---|---|
| Does Focusrite 2i2's USB driver support 2-ch independent I/O in JACK? | Yes — JACK sees capture_1/2, playback_1/2 |
Verify on actual RPi 4B |
| Can non-blocking JACK process remain RT-safe with dual chains? | Yes (no allocs, no I/O, sequential processing) | Profiling needed |
| What's the xrun rate at 48kHz/128 with dual chains + FX? | Unknown | Benchmark on RPi 4B |
| Can USB audio bandwidth handle 2ch @ 48kHz/24-bit? | Yes — 2.3 Mbps, USB 2.0 is 480 Mbps | Trivial |
8. References
src/dsp/pipeline.py— Current AudioPipeline (2421 lines)src/system/audio.py— AudioConfig, JackAudioClientsrc/presets/types.py— Channel enum, Preset model (already has channel field)docs/nam_inference.md— NAM model latency benchmarksdocs/audio-io-research.md— I2S HAT comparison (for future hardware)docs/test-plan-focusrite.md— Focusrite 2i2 test plan and wiring- Focusrite Scarlett 2i2 3rd Gen user guide: USB Audio Class 2.0, 2-in/2-out
- RPi 4B (BCM2711) quad Cortex-A72 @ 1.5GHz, 2/4/8 GB LPDDR4