Run Detail
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Provider
openrouter
Challenge Version
v1.0
Turns
1
Duration
149.1s
Total Tokens
9,211
Input Tokens
698
Output Tokens
8,513
Reasoning Tokens
6,833
Reasoning Effort
default
Cached Input Tokens
48
Est. Cost
$0.0096
Started
8/31/2026, 3:37:38 AM
OR Provider
Parasail
Finish Reason
stop
Generation ID
gen-1788147459-NF20WnGXKSGi410dFosB
Turns (1)
Turn #1
698 in8,513 out6,833 reasoning48 cached9,211 total149.0s
user
You are a graphics engineer who has spent a lot of time finding out why things are slow.
I want a hundred thousand things moving on screen at sixty frames a second, in one HTML file, with no libraries.
What to build
- A canvas, 900 × 600.
- 100,000 particles, each with its own position and velocity, each one individually updated and drawn every frame.
- They move through a flow field — a smooth, slowly evolving vector field that pushes them around. Curl, drift, eddies. It should look like weather, or ink in water, not like confetti.
- Particles that leave the canvas are recycled back in, so the count never drops.
- The field itself must evolve over time. A static field that particles merely settle into is not what I asked for.
On screen, always visible
- A live FPS readout, honestly measured — a frame-time average, not a number you decided on.
- The particle count, read from the actual data structure holding them, not a constant you typed in the HTML.
House rules
- One file. Everything inline — no CDN, no external stylesheet, font, script or image.
data:URIs are fine. - No libraries. No WebGL helper you paste in. If you want to use WebGL, write it yourself.
- No network at runtime.
- No
localStorage,sessionStorage, cookies orindexedDB— sandboxed frame, they throw. - Return the file as exactly one fenced
htmlblock.
Answer in exactly these sections
The plan
One paragraph, before the file. Your data layout, your draw strategy, and the one thing you expect to be the bottleneck.
The file
The single fenced html block.
The prediction
This is the section I care most about. Be specific and commit to numbers:
- FPS I expect on a 2023 laptop, integrated graphics, Chrome — give a single number, not a range wider than about ten.
- Where the time goes — roughly what share is update versus draw, and why.
- The first thing that breaks if I raise the count to a million.
- What you'd need to go ten times faster. Name the technique, not "optimize further".
If you fell short
If you could not do 100,000 at 60fps and shipped fewer, or a cheaper effect than a real flow field, say so here, plainly, and say what you shipped instead. Write Nothing dropped. if you delivered the brief in full.
How this is scored
I am going to open the file and read the FPS counter.
Then I am going to compare it against your prediction. A model that says "about 45fps, fill-rate bound" and measures 43 has understood its own code. A model that says 60 and measures 4 has not, however elegant the code is — and that gap is most of what I am testing here. An honest prediction of a mediocre number beats a confident prediction of a good one.
assistant
The plan
I store 100k particles in one Float32Array as x,y,vx,vy and keep a small 90×60 flow field that is regenerated each frame from time-varying sines for a smooth curl-like field. Particles are integrated on the CPU with bilinear field lookup and wrapped on exit, then the whole interleaved buffer is uploaded once per frame to WebGL and drawn as GL.POINTS with a hand-written vertex/fragment pair. The bottleneck I expect is the single-threaded JS integration loop, not the GPU draw.
The file
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>100k Flow</title>
<style>
html,body{margin:0;background:#000;height:100%;overflow:hidden}
canvas{display:block}
#ui{position:absolute;top:8px;left:8px;color:#fff;font-family:monospace;background:rgba(0,0,0,0.5);padding:4px 8px;border-radius:4px;font-size:12px}
</style>
</head>
<body>
<canvas id="c" width="900" height="600"></canvas>
<div id="ui">FPS: -- Particles: --</div>
<script>
const W=900,H=600,N=100000;
const cols=90,rows=60;
const cellW=W/cols,cellH=H/rows;
const canvas=document.getElementById('c');
const ui=document.getElementById('ui');
const gl=canvas.getContext('webgl');
if(!gl){document.body.innerHTML='WebGL required';throw new Error('no webgl');}
function sh(type,src){const s=gl.createShader(type);gl.shaderSource(s,src);gl.compileShader(s);return s;}
const vs=`attribute vec2 a_pos;uniform vec2 u_res;void main(){vec2 clip=(a_pos/u_res)*2.0-1.0;gl_Position=vec4(clip.x,-clip.y,0.0,1.0);gl_PointSize=2.0;}`;
const fs=`precision mediump float;void main(){gl_FragColor=vec4(0.7,0.85,1.0,0.9);}`;
const prog=gl.createProgram();
gl.attachShader(prog,sh(gl.VERTEX_SHADER,vs));
gl.attachShader(prog,sh(gl.FRAGMENT_SHADER,fs));
gl.linkProgram(prog);
gl.useProgram(prog);
const aPos=gl.getAttribLocation(prog,'a_pos');
const uRes=gl.getUniformLocation(prog,'u_res');
gl.uniform2f(uRes,W,H);
const particles=new Float32Array(N*4);
for(let i=0;i<N;i++){const b=i*4;particles[b]=Math.random()*W;particles[b+1]=Math.random()*H;particles[b+2]=(Math.random()-0.5)*0.5;particles[b+3]=(Math.random()-0.5)*0.5;}
const fieldVx=new Float32Array(cols*rows);
const fieldVy=new Float32Array(cols*rows);
const buf=gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER,buf);
gl.bufferData(gl.ARRAY_BUFFER,particles.byteLength,gl.DYNAMIC_DRAW);
gl.enableVertexAttribArray(aPos);
gl.vertexAttribPointer(aPos,2,gl.FLOAT,false,16,0);
gl.enable(gl.BLEND);
gl.blendFunc(gl.SRC_ALPHA,gl.ONE_MINUS_SRC_ALPHA);
let lastFps=performance.now(),frames=0,fps=0;
function loop(){
const t=performance.now()*0.001;
for(let iy=0;iy<rows;iy++){for(let ix=0;ix<cols;ix++){const id=iy*cols+ix;fieldVx[id]=Math.sin(ix*0.12+t*0.3)*Math.cos(iy*0.10+t*0.2)*0.8;fieldVy[id]=Math.cos(ix*0.10+t*0.25)*Math.sin(iy*0.13+t*0.18)*0.8;}}
for(let i=0;i<N;i++){
const b=i*4;
let x=particles[b],y=particles[b+1],vx=particles[b+2],vy=particles[b+3];
let gx=x*cols/W,gy=y*rows/H;
let ix=Math.floor(gx),iy=Math.floor(gy);
if(ix<0)ix=0;if(ix>cols-2)ix=cols-2;
if(iy<0)iy=0;if(iy>rows-2)iy=rows-2;
const fx=gx-ix,fy=gy-iy;
const i00=iy*cols+ix,i10=i00+1,i01=i00+cols,i11=i01+1;
const f00x=fieldVx[i00],f10x=fieldVx[i10],f01x=fieldVx[i01],f11x=fieldVx[i11];
const f00y=fieldVy[i00],f10y=fieldVy[i10],f01y=fieldVy[i01],f11y=fieldVy[i11];
const ix0=f00x*(1-fx)+f10x*fx,ix1=f01x*(1-fx)+f11x*fx;
const fieldX=ix0*(1-fy)+ix1*fy;
const iy0=f00y*(1-fx)+f10y*fx,iy1=f01y*(1-fx)+f11y*fx;
const fieldY=iy0*(1-fy)+iy1*fy;
vx+=fieldX*0.04;vy+=fieldY*0.04;
vx*=0.995;vy*=0.995;
x+=vx;y+=vy;
if(x<0)x+=W;if(x>W)x-=W;if(y<0)y+=H;if(y>H)y-=H;
particles[b]=x;particles[b+1]=y;particles[b+2]=vx;particles[b+3]=vy;
}
gl.bindBuffer(gl.ARRAY_BUFFER,buf);
gl.bufferSubData(gl.ARRAY_BUFFER,0,particles);
gl.viewport(0,0,W,H);
gl.clearColor(0,0,0,1);gl.clear(gl.COLOR_BUFFER_BIT);
gl.drawArrays(gl.POINTS,0,N);
frames++;
const now=performance.now();
if(now-lastFps>=500){fps=Math.round(frames*1000/(now-lastFps));ui.textContent='FPS: '+fps+' Particles: '+(particles.length/4);frames=0;lastFps=now;}
requestAnimationFrame(loop);
}
requestAnimationFrame(loop);
</script>
</body>
</html>
The prediction
- FPS I expect on a 2023 laptop, integrated graphics, Chrome: 58
- Where the time goes — roughly 70% JS particle integration + bilinear field lookup, 20% WebGL buffer upload + point draw, 10% field generation and frame overhead. The CPU loop dominates because 100k particles are touched every frame in JS.
- The first thing that breaks if I raise the count to a million: the single-threaded JS integration loop, dropping well below 10 fps, with a secondary hit from ~16 MB per-frame buffer upload bandwidth.
- What you'd need to go ten times faster: move the entire integration to the GPU, e.g. a compute shader / transform-feedback ping-pong particle system or WebGPU compute, so positions are updated and rendered without per-particle JS work and without a full CPU→GPU upload each frame.
If you fell short
Nothing dropped.
Attachments
meta/muse-glimmer-30b — page