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Software acceleration for existing hardware.

You have 500 videos to transcode. You don’t sit down and write a parallel execution plan from scratch. You run one line:

python wpc-recipe.py ffmpeg-h264 .videos

…and out comes videos.plan.wpc.txt — one tuned command per file, ready to feed straight to WonderPhi Compute, which runs them across every core you own.

WonderPhi Library is the recipe book for WonderPhi Compute. It ships 25 pre-optimized recipes for the most popular command-line tools. Point a recipe at a folder, and it generates a WPC plan with the right flags already filled in — the ones you’d otherwise have to look up on Stack Overflow.

Three Steps

1. python wpc-recipe.py --list — see every recipe
2. python wpc-recipe.py <recipe> <folder> — generate the plan
3. wpc.exe that-plan.plan.wpc.txt — WonderPhi Compute runs it

Or, with the always-on watcher installed, add --inbox and the plan drops straight into the pipeline to run itself.

The Full Recipe Index

Media

Images

Documents

Archives and Integrity

Web and Dev

GPU Recipes

Every recipe uses one of three input models: files (scan a folder), dirs (one job per subfolder), or lines (one job per line in a text file). GPU recipes auto-detect your NVIDIA card and fall back to the CPU equivalent when no GPU is present.

No Lock-In

The Library generates plain-text plan files. You can read them, edit them, combine them, or write your own. Nothing is hidden. Nothing is compiled. The recipe is just the recipe — WonderPhi Compute is the kitchen.

Zero dependencies. Python standard library only. No network. No telemetry.

Get WonderPhi Library — $9.99 →

Browse the full WonderPhi product line

Software acceleration for existing hardware.

Theory is cheap. We measured WonderPhi Compute on real hardware — a workstation with dual Intel Xeon Gold 6138T processors (40 physical cores, 80 logical), an NVIDIA A10M GPU with 19 GB of VRAM, running Windows 11 Pro. Every number below is wall-clock time, single run, cold cache. No averaging. No cherry-picking.

The Machine

This isn’t a cloud instance. This is a machine sitting on a desk, running production workloads around the clock, with WonderPhi’s three watchers armed and autonomous.

Test 1 — SHA-256 Hashing (Pure CPU Parallel)

The simplest possible benchmark: hash the same 500 MB file 40 times. CPU-bound, memory-bandwidth-sensitive.

Why not the full 64x? All 40 threads read the same file concurrently — memory bandwidth saturates before CPU does. That’s a DDR4 bottleneck, not a WPC limit. Workloads with distinct files per task (like the 541-domain health check we ran) hit 40-50x because each worker reads independent bytes.

Test 2 — 1080p H.264 Video Encoding (CPU vs. GPU)

Same 3-minute 1080p30 source (5,400 frames), 3 parallel encodes on each side.

On 1080p H.264, this box’s 40-core CPU is competitive with the A10M. Use the GPU when you want to keep CPU free for other work, not for raw throughput.

Test 3 — 4K HEVC Encoding (CPU vs. GPU)

30-second 3840×2160 30fps source (900 frames), 2 parallel encodes.

At 4K, the GPU pulls ahead. HEVC at this resolution is far heavier than H.264 at 1080p. NVENC is silicon — it doesn’t care about resolution the way software encoders do. The gap widens with resolution: at 8K, expect 3-5x.

Test 4 — AV1 Encoding

An honest caveat: the A10M does not support AV1 hardware encoding. Ampere NVENC (7th gen, 2020) has H.264 + HEVC only. AV1 NVENC arrived with Ada Lovelace (2022). All AV1 results are CPU.

Encoder choice matters more than parallelism on AV1. And WPC parallelism helps for multi-file batches: 6 videos in parallel finished 3.1x faster than serial — but libsvtav1 is already multi-threaded internally, so you get diminishing returns.

The 541-Domain Health Check

We also ran a real-world operational test: a WPC plan with 541 independent curl health checks against live domains. Results: 442 reachable, 99 unreachable, total wall time 17.1 seconds. That’s 541 network requests, each with a 5-second timeout, completed in under 18 seconds.

Honest Takeaways

Every claim on the product page is backed by a number we measured. That’s the difference between marketing and evidence.

Get WonderPhi Compute — $99.99 →

Browse the full WonderPhi product line

Software acceleration for existing hardware.

Every machine you own has more power than you use. Cores sit idle. GPU memory stays dark. Background processes eat cycles you never asked them to. The operating system has its own agenda, and your work waits in line behind it.

WonderPhi Compute is the antidote: a constitutional parallel runner that reads a plain-text plan of shell commands and executes them across every CPU core, honestly showing you what it’s doing.

What Makes It Different

Most parallel runners — GNU parallel, make -j, xargs -P — grew organically over decades. A hundred flags. No philosophy. WonderPhi Compute is designed the other way: 10 immutable constitutional rules, hardcoded into every binary, verified at startup, and carved in stone.

Every version of WonderPhi Compute that will ever exist is v1.0.0. Born once. Never updated. No subscription. No telemetry. No dependencies. That’s the constitutional guarantee.

How It Works

You write a plan file — a plain-text list of shell commands, one per line. Blank lines are barriers: everything above must finish before anything below starts. Comments start with #. That’s the entire format.

# WPC v1
# Stage 1 — extract text from every PDF in parallel
pdftotext report001.pdf out001.txt
pdftotext report002.pdf out002.txt
pdftotext report003.pdf out003.txt

# Stage 2 — aggregate (waits for stage 1)
cat out*.txt > combined.txt

Feed that to wpc.exe, and it runs every stage across every core simultaneously. A serial script that would run for two hours finishes in ten minutes.

GPU Awareness

WonderPhi Compute detects your NVIDIA GPU at startup and exposes $WPC_GPU=1 to every task’s environment. It doesn’t offload work to the GPU itself — that’s the job of your commands. But your scripts can branch on GPU availability, choosing the right silicon for the right job.

Always-On Mode

Three cooperating watchers turn WonderPhi into a drop-a-file-and-it-runs service:

• The Watcher — drop plan files into wpc-inbox, they run automatically
• The Autoplan — drop 5+ files of the same type, and a plan is generated and dispatched automatically
• The Observer — samples your process list, and when it sees the same tool running 5+ times, suggests a parallel plan

None of these modify wpc.exe. The 10 Commandments and the v1.0.0 guarantee remain completely intact.

Who This Is For

If you work with media files, batch processing, data pipelines, web scraping, testing, archiving, or any other workload where the same command runs many times — this is for you. Whether you’re a video editor transcoding a season’s worth of footage, a researcher checksumming a forensic evidence archive, or a developer running tests across twenty repos at once — WonderPhi puts every core to work.

No subscriptions. No cloud dependency. No telemetry. Just your hardware, fully utilized, with honest reporting.

Browse the WonderPhi Compute product line →

WonderPhi Compute — $99.99 | WonderPhi Library — $9.99 | WonderPhi Autonomous Compute — $29.99

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #13.

“amplitude (736)61.333 / doubled mass (24)2 30.666 [2.555] estimated energy constant weight (a+m2=e) part 2 thinking of different things how to invent the definition of something that doesn't exist, time and motion in tandem with out physical being and some of everything at the same time is only a summation of certain things that need to be understood as an entity of everything, war games the movie”
— Christopher Gabriel Brown

Recognized properties

• Sector: Computing & Semiconductors
• Keywords: amplitude, something, there, doubled, mass, estimated, energy, constant, weight, things, time, some
• Key phrases: amplitude doubled mass · definition something · doesn exist time · motion tandem · out physical being · some everything · same time only · need understood entity

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #13).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #12.

“a fractal is the opposite of a worm hole. (a+m2=e) part 1 a fractal is the opposite of a worm hole. the entire amplitude of any entity with twice the mass will make energy that posses a general whole number that is not prime. it's plain to see but what is there to see? it's the amplitude with some form of fraction of a whole that makes the entity a whole number that never actually is ever complete”
— Christopher Gabriel Brown

Recognized properties

• Sector: Communications
• Keywords: whole, number, fractal, opposite, worm, hole, amplitude, entity, see, some, part, entire
• Key phrases: opposite worm hole · entire amplitude · make energy · posses general whole · prime plain see · there see · some form fraction · entity whole number

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #12).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #11.

“deposition on theology of psychology this is the only reason why the internet web pages actually work, gestalt psychology  copyright © 2017 chris g brown”
— Christopher Gabriel Brown

Recognized properties

• Sector: Communications
• Keywords: psychology, deposition, theology, only, reason, internet, web, pages, actually, work, gestalt
• Key phrases: deposition theology psychology · only reason · internet web pages

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #11).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #9.

“lcus united states of america armed forces aero contract winner copyright © 2017 chris g brown”
— Christopher Gabriel Brown

Recognized properties

• Sector: Computing & Semiconductors
• Keywords: lcus, united, states, america, armed, forces, aero, contract, winner
• Key phrases: lcus united states

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #9).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #7.

“c9 technology wireless usb technology wireless usb technology microsoft had the goods and i needed what they had. they listened and i plainly spoke what i wanted. when where and how is the point. microsoft is no longer accepting bids for invent projects. there isn't much to say about this, really and honestly, this was when microsoft was accepting feed back and invent depositions by way of solicit”
— Christopher Gabriel Brown

Recognized properties

• Sector: Computing & Semiconductors
• Keywords: technology, wireless, microsoft, was, usb, had, accepting, invent, there, goods, needed, listened
• Key phrases: technology wireless usb · plainly spoke · point microsoft longer · invent projects there · microsoft was accepting · invent depositions way · there should wireless · input together

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #7).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #6.

“platform computing that measures instance rather than current cloud computing statistical virtual memory stacking easy to ask but i can remember christmas shopping with my parents and some times it really wasn't a good year when this situation happened? your in a store grabbing a gift just because it's another gift. they say that what really makes something worth giving is the thought. complicated”
— Christopher Gabriel Brown

Recognized properties

• Sector: Computing & Semiconductors
• Keywords: cloud, computing, memory, frenzy, only, platform, measures, instance, rather, current, virtual, stacking
• Key phrases: platform computing · measures instance rather · current cloud computing · remember christmas shopping · some times really · situation happened · store grabbing gift · really makes something

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #6).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE

FIRST TO MARKET · Publicly documented in the 2017 Invent Depositions corpus · Deposition #3.

“[time and light measure ment + stair case mirror chips] (optical ma-thematic weight and scale by calculations and common studies) copyright © 2017 chris g brown”
— Christopher Gabriel Brown

Recognized properties

• Sector: Computing & Semiconductors
• Keywords: time, light, measure, ment, stair, case, mirror, chips, optical, ma-thematic, weight, scale
• Key phrases: light measure ment · scale calculations · common studies

Provenance: original 2017 catalog artwork recovered from buyinvent.com via the Internet Archive Wayback Machine; OCR text from the printed Invent Depositions book scan (Deposition #3).

© Christopher Gabriel Brown · Patent Pending · IP retained by CRI-ONE