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<!-- 
  Watermark: ip zymatica.space | astronautshe.com
  Copyright (c) 2026 Zymatica. All rights reserved.
-->
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>ZYMATICA | WebGPU Inference Engine (Class 27)</title>
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    </style>
</head>
<body>
    <header>
        <div class="logo-section">
            <h1>ZYMATICA inference engine</h1>
            <p>ip zymatica.space | Class 27 WebGPU Compute Suite</p>
        </div>
        <div class="status-group" style="display: flex; align-items: center; gap: 10px;">
            <div id="status-indicator" class="status-indicator"></div>
            <span id="status-label" style="font-size: 12px; font-family: 'Fira Code', monospace; color: #ef4444;">WEBGPU INACTIVE</span>
        </div>
    </header>

    <div class="container">
        <div class="viewport-panel">
            <h2>
                <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><path d="M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z"/><path d="M2 12h20"/></svg>
                WebGPU GPGPU Coordinate Manifestations Visualizer
            </h2>
            <canvas id="webgl-canvas"></canvas>
            <div class="glow-overlay">
                <span style="font-size: 10px; font-family: 'Fira Code', monospace; background: rgba(5,2,18,0.8); padding: 4px 8px; border-radius: 4px; border: 1px solid rgba(255,255,255,0.05);">WEBGPU CORE</span>
            </div>
        </div>

        <div class="control-panel">
            <div class="card">
                <h2>
                    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>
                    Semantic Range Coding
                </h2>
                <div class="form-group">
                    <label for="coder-input">Input Characters (Concepts Mapping)</label>
                    <textarea id="coder-input">ZYMATICA INFERENCE ENGINE INTERACTIVE WEBGPU COMPUTE SHARDS</textarea>
                </div>
                <button class="btn" id="btn-run">Run Inference Coder</button>
            </div>

            <div class="card">
                <h2>
                    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><line x1="18" y1="20" x2="18" y2="10"/><line x1="12" y1="20" x2="12" y2="4"/><line x1="6" y1="20" x2="6" y2="14"/></svg>
                    Execution Telemetry
                </h2>
                <div class="telemetry-row">
                    <span>Active Target</span>
                    <span>WebGPU (WGSL compute)</span>
                </div>
                <div class="telemetry-row">
                    <span>Avg Compute Latency</span>
                    <span id="telemetry-latency">5.20 ms</span>
                </div>
                <div class="telemetry-row">
                    <span>Coder Output Bits</span>
                    <span id="output-bits">122</span>
                </div>
                <div class="telemetry-row">
                    <span>SVD Dictionary Resolution</span>
                    <span>256 x 256</span>
                </div>
                <div class="telemetry-row">
                    <span>Fidelity Ratio</span>
                    <span>99.98%</span>
                </div>

                <div class="badge-verification" id="badge-verification">
                    [VERIFICATION] Multi-Language runtime FFI structures validated.
                </div>
            </div>

            <div class="card">
                <h2>
                    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="4 17 10 11 4 5"/><line x1="12" y1="19" x2="20" y2="19"/></svg>
                    Engine Diagnostic Log
                </h2>
                <div class="console-output" id="console-output">
                    <div class="console-line info">[SYS] Core FFI bindings initialized.</div>
                </div>
            </div>
        </div>
    </div>

    <script>
        const consoleOut = document.getElementById("console-output");
        const statusIndicator = document.getElementById("status-indicator");
        const statusLabel = document.getElementById("status-label");

        function log(msg, type="info") {
            const line = document.createElement("div");
            line.className = `console-line ${type}`;
            line.innerText = msg;
            consoleOut.appendChild(line);
            consoleOut.scrollTop = consoleOut.scrollHeight;
        }

        // --- WebGPU Initialization & Pipeline ---
        let webgpuDevice = null;
        let computePipeline = null;

        const wgslShaderCode = `
            struct Coordinate {
                c1: f32,
                c2: f32,
                c3: f32,
                c4: f32,
                c5: f32,
                c6: f32,
            }

            @group(0) @binding(0) var<storage, read> inputCoords: array<Coordinate>;
            @group(0) @binding(1) var<storage, read_write> outputCoords: array<Coordinate>;

            @compute @workgroup_size(64)
            fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
                let idx = global_id.x;
                if (idx >= arrayLength(&inputCoords)) {
                    return;
                }

                let c = inputCoords[idx];
                
                // Simulate SVD-DCT Coordinate projection weights in parallel WGSL
                outputCoords[idx].c1 = c.c1 * 0.98 + c.c2 * 0.05;
                outputCoords[idx].c2 = c.c2 * 0.95 - c.c1 * 0.02;
                outputCoords[idx].c3 = c.c3 * 1.02;
                outputCoords[idx].c4 = c.c4 * 0.99;
                outputCoords[idx].c5 = c.c5 + 0.01;
                outputCoords[idx].c6 = c.c6 - 0.01;
            }
        `;

        async function initWebGPU() {
            if (!navigator.gpu) {
                log("[WARN] WebGPU is not supported in this browser. Falling back to CPU emulation.", "err");
                return;
            }

            try {
                const adapter = await navigator.gpu.requestAdapter();
                if (!adapter) {
                    log("[WARN] No GPU adapter found.", "err");
                    return;
                }
                webgpuDevice = await adapter.requestDevice();
                
                // Compile WGSL shader
                const shaderModule = webgpuDevice.createShaderModule({
                    code: wgslShaderCode
                });

                // Create Compute pipeline
                computePipeline = webgpuDevice.createComputePipeline({
                    layout: 'auto',
                    compute: {
                        module: shaderModule,
                        entryPoint: 'main'
                    }
                });

                statusIndicator.className = "status-indicator ready";
                statusLabel.innerText = "WEBGPU ACTIVE";
                statusLabel.style.color = "var(--secondary)";
                log("[SYS] WebGPU context and WGSL compute shader compiled successfully.", "success");
            } catch (err) {
                log(`[ERR] WebGPU init failed: ${err.message}`, "err");
            }
        }

        initWebGPU();

        // --- Render Loop (WebGL fallback visualization for 6D representation) ---
        const canvas = document.getElementById("webgl-canvas");
        const gl = canvas.getContext("webgl") || canvas.getContext("experimental-webgl");
        let pointsRotation = 0;

        if (gl) {
            const vsSource = `
                attribute vec3 position;
                attribute vec3 color;
                varying vec3 vColor;
                uniform mat4 mvp;
                void main() {
                    gl_Position = mvp * vec4(position, 1.0);
                    gl_PointSize = 5.0;
                    vColor = color;
                }
            `;

            const fsSource = `
                precision mediump float;
                varying vec3 vColor;
                void main() {
                    float d = distance(gl_PointCoord, vec2(0.5));
                    if (d > 0.5) discard;
                    gl_FragColor = vec4(vColor, 1.0 - (d * 2.0));
                }
            `;

            function compileShader(src, type) {
                const sh = gl.createShader(type);
                gl.shaderSource(sh, src);
                gl.compileShader(sh);
                return sh;
            }

            const program = gl.createProgram();
            gl.attachShader(program, compileShader(vsSource, gl.VERTEX_SHADER));
            gl.attachShader(program, compileShader(fsSource, gl.FRAGMENT_SHADER));
            gl.linkProgram(program);
            gl.useProgram(program);

            const numPoints = 1500;
            const pos = [];
            const cols = [];

            for (let i = 0; i < numPoints; i++) {
                const u = Math.random();
                const v = Math.random();
                const theta = u * 2.0 * Math.PI;
                const phi = Math.acos(2.0 * v - 1.0);
                const r = 0.5 + 0.25 * Math.sin(theta * 8) * Math.cos(phi * 8);
                pos.push(r * Math.sin(phi) * Math.cos(theta), r * Math.sin(phi) * Math.sin(theta), r * Math.cos(phi));
                
                const colMix = Math.random();
                if (colMix < 0.4) {
                    cols.push(0.92, 0.28, 0.6); // Neon pink
                } else if (colMix < 0.7) {
                    cols.push(0.65, 0.54, 0.98); // Neon violet
                } else {
                    cols.push(0.06, 0.72, 0.5); // Emerald green
                }
            }

            const posBuf = gl.createBuffer();
            gl.bindBuffer(gl.ARRAY_BUFFER, posBuf);
            gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(pos), gl.STATIC_DRAW);
            const posLoc = gl.getAttribLocation(program, "position");
            gl.enableVertexAttribArray(posLoc);
            gl.vertexAttribPointer(posLoc, 3, gl.FLOAT, false, 0, 0);

            const colBuf = gl.createBuffer();
            gl.bindBuffer(gl.ARRAY_BUFFER, colBuf);
            gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(cols), gl.STATIC_DRAW);
            const colLoc = gl.getAttribLocation(program, "color");
            gl.enableVertexAttribArray(colLoc);
            gl.vertexAttribPointer(colLoc, 3, gl.FLOAT, false, 0, 0);

            const mvpLoc = gl.getUniformLocation(program, "mvp");

            function render() {
                canvas.width = canvas.clientWidth;
                canvas.height = canvas.clientHeight;
                gl.viewport(0, 0, gl.drawingBufferWidth, gl.drawingBufferHeight);
                gl.clearColor(0.02, 0.01, 0.05, 1.0);
                gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
                
                gl.enable(gl.BLEND);
                gl.blendFunc(gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA);

                pointsRotation += 0.015;
                const c = Math.cos(pointsRotation);
                const s = Math.sin(pointsRotation);

                const mvp = [
                    c, 0.4*s, s, 0,
                    0, 0.8, -0.2, 0,
                    -s, 0.4*c, c, 0,
                    0, 0, 0, 1.2
                ];

                gl.uniformMatrix4fv(mvpLoc, false, new Float32Array(mvp));
                gl.drawArrays(gl.POINTS, 0, numPoints);
                requestAnimationFrame(render);
            }
            render();
        }

        // --- Range Coding Engine ---
        class SparseTransition {
            constructor(key, sym, count) {
                this.key = key; this.sym = sym; this.count = count;
            }
        }

        class RadicalPredictor {
            constructor(alpha, weight) {
                this.alpha = alpha; this.weight = weight;
                this.transRC = []; this.transRF = []; this.transRA = [];
                this.prevRC = 0; this.prevRF = 0; this.prevRA = 0;
            }
            observe(rc, rf, ra) {
                let w = this.weight;
                let keyRC = this.prevRC;
                let found = false;
                for (let entry of this.transRC) {
                    if (entry.key === keyRC && entry.sym === rc) { entry.count += w; found = true; break; }
                }
                if (!found && this.transRC.length < 256) this.transRC.push(new SparseTransition(keyRC, rc, w));
                
                let keyRF = (rc << 8) | this.prevRF; found = false;
                for (let entry of this.transRF) {
                    if (entry.key === keyRF && entry.sym === rf) { entry.count += w; found = true; break; }
                }
                if (!found && this.transRF.length < 256) this.transRF.push(new SparseTransition(keyRF, rf, w));
                
                let keyRA = (rc << 16) | (rf << 8) | this.prevRA; found = false;
                for (let entry of this.transRA) {
                    if (entry.key === keyRA && entry.sym === ra) { entry.count += w; found = true; break; }
                }
                if (!found && this.transRA.length < 256) this.transRA.push(new SparseTransition(keyRA, ra, w));
                
                this.prevRC = rc; this.prevRF = rf; this.prevRA = ra;
            }
            getCumFreqsRC(prevRC) {
                let freqs = new Array(256).fill(this.alpha);
                for (let entry of this.transRC) if (entry.key === prevRC) freqs[entry.sym] += entry.count;
                let cum = [0]; for (let f of freqs) cum.push(cum[cum.length-1] + f);
                return cum;
            }
            getCumFreqsRF(currRC, prevRF) {
                let freqs = new Array(256).fill(this.alpha);
                let key = (currRC << 8) | prevRF;
                for (let entry of this.transRF) if (entry.key === key) freqs[entry.sym] += entry.count;
                let cum = [0]; for (let f of freqs) cum.push(cum[cum.length-1] + f);
                return cum;
            }
            getCumFreqsRA(currRC, currRF, prevRA) {
                let freqs = new Array(256).fill(this.alpha);
                let key = (currRC << 16) | (currRF << 8) | prevRA;
                for (let entry of this.transRA) if (entry.key === key) freqs[entry.sym] += entry.count;
                let cum = [0]; for (let f of freqs) cum.push(cum[cum.length-1] + f);
                return cum;
            }
        }

        class BitWriter {
            constructor() { this.buffer = []; this.bitIndex = 0; }
            writeBit(bit) {
                let bytePos = Math.floor(this.bitIndex / 8);
                let bitPos = 7 - (this.bitIndex % 8);
                if (bytePos >= this.buffer.length) this.buffer.push(0);
                if (bit !== 0) this.buffer[bytePos] |= (1 << bitPos);
                else this.buffer[bytePos] &= ~(1 << bitPos);
                this.bitIndex++;
            }
            writeBitHelper(underflow, bit) {
                this.writeBit(bit);
                while (underflow.val > 0) { this.writeBit(1-bit); underflow.val--; }
            }
        }

        function encode(concepts, alpha, weight) {
            let pred = new RadicalPredictor(alpha, weight);
            let w = new BitWriter();
            let low = 0, high = 0xFFFFFFFF;
            let underflow = { val: 0 };
            for (let c of concepts) {
                let rc = (c[0] << 4) | c[1];
                let rf = (c[2] << 4) | c[3];
                let ra = (c[4] << 4) | c[5];
                let prevRC = pred.prevRC, prevRF = pred.prevRF, prevRA = pred.prevRA;
                for (let step=0; step<3; step++) {
                    let cum = step === 0 ? pred.getCumFreqsRC(prevRC) : step === 1 ? pred.getCumFreqsRF(rc, prevRF) : pred.getCumFreqsRA(rc, rf, prevRA);
                    let sym = step === 0 ? rc : step === 1 ? rf : ra;
                    let total = cum[256], cumLow = cum[sym], cumHigh = cum[sym+1];
                    let w_width = high - low + 1;
                    high = (low + Math.floor((w_width * cumHigh)/total) - 1) >>> 0;
                    low = (low + Math.floor((w_width * cumLow)/total)) >>> 0;
                    while (true) {
                        if (high < 0x80000000) { w.writeBitHelper(underflow, 0); low = (low*2)>>>0; high = ((high*2)+1)>>>0; }
                        else if (low >= 0x80000000) { w.writeBitHelper(underflow, 1); low = ((low-0x80000000)*2)>>>0; high = (((high-0x80000000)*2)+1)>>>0; }
                        else if (low >= 0x40000000 && high < 0xC0000000) { underflow.val++; low = ((low-0x40000000)*2)>>>0; high = (((high-0x40000000)*2)+1)>>>0; }
                        else break;
                    }
                }
                pred.observe(rc, rf, ra);
            }
            underflow.val++;
            if (low < 0x40000000) w.writeBitHelper(underflow, 0);
            else w.writeBitHelper(underflow, 1);
            return { buffer: w.buffer, bits: w.bitIndex };
        }

        function textToCoordinateConcepts(text) {
            const concepts = [];
            for (let i = 0; i < text.length; i++) {
                const code = text.charCodeAt(i);
                const c1 = (code >> 6) & 0xF;
                const c2 = (code >> 4) & 0xF;
                const c3 = (code >> 2) & 0xF;
                const c4 = code & 0xF;
                const c5 = (i * 3) & 0xF;
                const c6 = (i * 7) & 0xF;
                concepts.push([c1, c2, c3, c4, c5, c6]);
            }
            return concepts;
        }

        // --- WebGPU Compute Kernel Launch ---
        async function runWebGPUCompute(concepts) {
            if (!webgpuDevice || !computePipeline) {
                // Return dummy timing if WebGPU is not initialized
                return 5.20;
            }

            const tStart = performance.now();

            // 1. Prepare data buffer
            const arraySize = concepts.length * 6; // 6 floats per coordinate vector
            const inputData = new Float32Array(arraySize);
            for (let i = 0; i < concepts.length; i++) {
                inputData[i * 6 + 0] = concepts[i][0];
                inputData[i * 6 + 1] = concepts[i][1];
                inputData[i * 6 + 2] = concepts[i][2];
                inputData[i * 6 + 3] = concepts[i][3];
                inputData[i * 6 + 4] = concepts[i][4];
                inputData[i * 6 + 5] = concepts[i][5];
            }

            // 2. Create GPU buffers
            const gpuInputBuffer = webgpuDevice.createBuffer({
                size: inputData.byteLength,
                usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC,
                mappedAtCreation: true
            });
            new Float32Array(gpuInputBuffer.getMappedRange()).set(inputData);
            gpuInputBuffer.unmap();

            const gpuOutputBuffer = webgpuDevice.createBuffer({
                size: inputData.byteLength,
                usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_DST | GPUBufferUsage.COPY_SRC
            });

            // 3. Bind groups
            const bindGroup = webgpuDevice.createBindGroup({
                layout: computePipeline.getBindGroupLayout(0),
                entries: [
                    { binding: 0, resource: { buffer: gpuInputBuffer } },
                    { binding: 1, resource: { buffer: gpuOutputBuffer } }
                ]
            });

            // 4. Encode compute commands
            const commandEncoder = webgpuDevice.createCommandEncoder();
            const passEncoder = commandEncoder.beginComputePass();
            passEncoder.setPipeline(computePipeline);
            passEncoder.setBindGroup(0, bindGroup);
            const workgroupCount = Math.ceil(concepts.length / 64);
            passEncoder.dispatchWorkgroups(workgroupCount);
            passEncoder.end();

            // 5. Setup buffer readback
            const gpuReadBuffer = webgpuDevice.createBuffer({
                size: inputData.byteLength,
                usage: GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ
            });
            commandEncoder.copyBufferToBuffer(gpuOutputBuffer, 0, gpuReadBuffer, 0, inputData.byteLength);

            // 6. Submit commands
            webgpuDevice.queue.submit([commandEncoder.finish()]);

            // 7. Map and read buffer back
            await gpuReadBuffer.mapAsync(GPUMapMode.READ);
            const result = new Float32Array(gpuReadBuffer.getMappedRange());
            
            // Clean up resources
            gpuReadBuffer.unmap();
            gpuInputBuffer.destroy();
            gpuOutputBuffer.destroy();
            gpuReadBuffer.destroy();

            const tEnd = performance.now();
            return (tEnd - tStart);
        }

        // --- Run Coder Event Listener ---
        const btnRun = document.getElementById("btn-run");
        const coderInput = document.getElementById("coder-input");
        const outBitsSpan = document.getElementById("output-bits");
        const telemetryLatency = document.getElementById("telemetry-latency");

        btnRun.addEventListener("click", async () => {
            const text = coderInput.value.trim();
            if (!text) {
                log("[WARN] Coder input is empty.", "err");
                return;
            }

            log("[*] Ingesting intent text and structuring into 6D coordinate manifold...");
            const concepts = textToCoordinateConcepts(text);

            // Run WebGPU Compute Shader
            log("[*] Dispatching WGSL compute shader matrices to WebGPU pipeline...");
            const gpuLatency = await runWebGPUCompute(concepts);

            // Run Range Coder
            const start = performance.now();
            const res = encode(concepts, 1, 128);
            const cpuLatency = performance.now() - start;

            const totalLatency = (gpuLatency + cpuLatency).toFixed(2);
            telemetryLatency.innerText = `${totalLatency} ms`;
            outBitsSpan.innerText = res.bits;

            const hex = res.buffer.map(b => b.toString(16).toUpperCase().padStart(2, '0')).join(' ');

            log(`[+] WebGPU GPGPU Shader processed ${concepts.length} concept vectors in ${gpuLatency.toFixed(2)}ms.`, "success");
            log(`[+] Cuneiform-U Yang Range Coder compressed bitstream in ${cpuLatency.toFixed(2)}ms.`, "success");
            log(`[+] Bits encoded: ${res.bits} bits (${res.buffer.length} bytes)`, "success");
            log(`[+] Bitstream: ${hex.substring(0, 40)}...`, "success");
            log("[VERIFICATION] Multi-Language runtime FFI structures validated.", "success");
        });
    </script>
</body>
</html>