| Filename | Latest commit message | Latest commit date |
|---|---|---|
eoc-meter's macOS counter was an explicit stub that always errored, so every reading on Apple Silicon degraded to JouleSource::Estimated (zero real energy). Port the validated, no-sudo, no-external-binary IOReport Energy-Model FFI reader (from jouleclaw-energy's apple_ioreport) as MacosIoReportCounter and prefer it in detect() ahead of the powermetrics stub, so eoc reports Measured energy on this platform. Relaxed the crate-root #![forbid(unsafe_code)] to #![deny] with a scoped #[allow(unsafe_code)] on the single audited FFI module — real hardware reads are unreachable without the unsafe IOReport calls; everything else stays unsafe-free. Validated on Apple Silicon: ioreport_advances_after_cpu_burn passes (real energy advances after a CPU burn); detect() returns the ioreport counter. 5 tests green, clippy clean. Co-Authored-By: Claude Opus 4.8 <[email protected]> |
||
| .. | ||
| crates | ||
| Cargo.lock | ||
| Cargo.toml | ||
| README.md | ||
| rust-toolchain.toml | ||
eoc-rs — EOC reference implementation in Rust
Apache-2.0 reference implementation of the Energy-Optimized Compute specification (CC-BY-4.0 spec lives in ../spec/).
EOC is a four-stage memoizing cascade. Every query is tried at each stage in turn and the first that can answer wins. The four stages, cheapest to most expensive, are:
- Cache (
eoc-cache) — content-addressed LRU. Cache hits are nearly free. - Key-value (
eoc-kv) — exact key match plus cosine-similarity embedding match. - Graph (
eoc-graph) — triple-store retrieval. Reference impl is a small in-memory matcher; production deployments swap in a real graph backend driven by DCY (EOC-4). - Neural (
eoc-neural) — last-resort inference. Reference impl ships anEchoBackend; production deployments wire in llama.cpp / Ollama / Anthropic API / etc.
Joule cost is the unit of accounting. The eoc-meter crate reads cumulative micro-joules from whatever hardware counter is available (Linux RAPL, macOS powermetrics, NVIDIA NVML behind the cuda feature) and falls back to a StubCounter everywhere else — including WASM.
Workspace layout
| Crate | Purpose |
|---|---|
eoc-core |
Types: Query, Response, Stage, JouleCost, Receipt. |
eoc-cache |
Stage 1 — LRU cache + the Stage trait. |
eoc-kv |
Stage 2 — KV + embedding-similarity lookup. |
eoc-graph |
Stage 3 — in-memory triple store. |
eoc-neural |
Stage 4 — neural inference trait + EchoBackend. |
eoc-meter |
Hardware energy counters with stub fallback. |
eoc-cascade |
Glue: walks the four stages, attributes joule cost. |
eoc |
Reference CLI. |
eoc-wasm |
wasm-bindgen wrapper — browser-runnable cascade. |
Running
cargo test --workspace
cargo clippy --workspace --all-targets
cargo run --bin eoc -- query "what is 2+2"
cargo run --bin eoc -- meter
Example output:
$ cargo run --bin eoc -- query "what is 2+2"
stage : kv
payload: 4
cost : 50 µJ (estimated)
receipt: <64-char hex>
CUDA / NVML
NVIDIA NVML support is feature-gated and off by default so the workspace builds without libnvidia-ml. To enable:
cargo build -p eoc-meter --features cuda
WASM
The cascade compiles to wasm32-unknown-unknown. The meter does not — RAPL, NVML, and powermetrics are all absent in the browser, so WASM builds use StubCounter and report estimated joule cost.
rustup target add wasm32-unknown-unknown
cargo build -p eoc-wasm --target wasm32-unknown-unknown --release
wasm-bindgen target/wasm32-unknown-unknown/release/eoc_wasm.wasm \
--out-dir ./pkg --target web
Then from JavaScript:
import init, { WasmCascade } from "./pkg/eoc_wasm.js";
await init();
const cascade = new WasmCascade();
const r = await cascade.resolve("ping");
console.log(r); // { stage: "kv", payload: "pong", microjoules: 50, ... }
License
Apache-2.0 for the Rust source in this workspace. The EOC specification text in ../spec/ is CC-BY-4.0. See ../LICENSE.