Low-level hardware access and system programming
Infrastructure modules provide direct access to hardware resources for performance-critical applications.
Thread management, CPU affinity, SIMD operations
// matrix_mul.ifa - Optimized parallel matrix multiplication
ayanmo CPU = import("@infra/cpu");
ise matrix_multiply(A, B) {
ayanmo rows_a = Ogunda.len(A);
ayanmo cols_a = Ogunda.len(Ogunda.first(A));
ayanmo cols_b = Ogunda.len(Ogunda.first(B));
// Create result matrix
ayanmo C = [];
ayanmo i = 0;
nigba (i < rows_a) {
ayanmo row = [];
ayanmo j = 0;
nigba (j < cols_b) {
ayanmo row = Ogunda.push(row, 0.0);
ayanmo j = j + 1;
}
ayanmo C = Ogunda.push(C, row);
ayanmo i = i + 1;
}
// Parallel computation across rows
ayanmo num_threads = CPU.core_count();
ayanmo chunk_size = rows_a / num_threads;
CPU.parallel_for(0, rows_a, |row_idx| {
ayanmo k = 0;
nigba (k < cols_a) {
ayanmo j = 0;
nigba (j < cols_b) {
ayanmo a_val = Ogunda.get(Ogunda.get(A, row_idx), k);
ayanmo b_val = Ogunda.get(Ogunda.get(B, k), j);
ayanmo curr = Ogunda.get(Ogunda.get(C, row_idx), j);
// C[row_idx][j] += A[row_idx][k] * B[k][j]
CPU.atomic_add(C, row_idx, j, a_val * b_val);
ayanmo j = j + 1;
}
ayanmo k = k + 1;
}
});
padap? C;
}
// Benchmark
ayanmo start = Iwori.now_ns();
ayanmo result = matrix_multiply(matrix_a, matrix_b);
ayanmo elapsed = (Iwori.now_ns() - start) / 1000000;
Irosu.fo("Matrix multiplication completed in " + elapsed + "ms");GPGPU compute, shader execution, tensor operations
// gpu_filter.ifa - GPU-accelerated image processing
ayanmo GPU = import("@infra/gpu");
ise apply_gaussian_blur(image, radius) {
// Upload image to GPU memory
ayanmo gpu_buffer = GPU.create_buffer(image.data, GPU.RGBA8);
// Create compute shader
ayanmo shader = GPU.compile_shader("
@group(0) @binding(0) var input: texture_2d;
@group(0) @binding(1) var output: texture_storage_2d;
@compute @workgroup_size(16, 16)
fn main(@builtin(global_invocation_id) id: vec3) {
var sum = vec4(0.0);
var weight_sum = 0.0;
for (var dy = -RADIUS; dy <= RADIUS; dy++) {
for (var dx = -RADIUS; dx <= RADIUS; dx++) {
let pos = vec2(id.xy) + vec2(dx, dy);
let weight = gaussian(dx, dy, RADIUS);
sum += textureLoad(input, pos, 0) * weight;
weight_sum += weight;
}
}
textureStore(output, vec2(id.xy), sum / weight_sum);
}
");
// Execute on GPU
ayanmo output = GPU.create_texture(image.width, image.height, GPU.RGBA8);
GPU.dispatch(shader, [gpu_buffer, output], image.width / 16, image.height / 16);
// Download result
padap? GPU.read_texture(output);
}
// Process image
ayanmo image = GPU.load_image("photo.jpg");
ayanmo blurred = apply_gaussian_blur(image, 5);
GPU.save_image(blurred, "photo_blur.jpg"); Direct disk I/O, memory-mapped files, database engines
// kv_store.ifa - Memory-mapped key-value database
ayanmo Storage = import("@infra/storage");
ayanmo DB_FILE = "data.db";
ayanmo INDEX_FILE = "data.idx";
ise init_database() {
// Memory-map the data file (1GB max)
ayanmo data = Storage.mmap(DB_FILE, 1024 * 1024 * 1024);
// Load or create index
ayanmo index = {};
ti (Odi.exists(INDEX_FILE)) {
ayanmo idx_data = Odi.read(INDEX_FILE);
ayanmo index = Ogbe.parse_json(idx_data);
}
padap? {"data": data, "index": index, "offset": 0};
}
ise db_put(db, key, value) {
ayanmo serialized = Ogbe.format_json(value);
ayanmo length = Ika.len(serialized);
// Write length + data to mmap
Storage.mmap_write_u32(db["data"], db["offset"], length);
Storage.mmap_write_str(db["data"], db["offset"] + 4, serialized);
// Update index
db["index"][key] = {"offset": db["offset"], "length": length};
db["offset"] = db["offset"] + 4 + length;
// Persist index
Odi.write(INDEX_FILE, Ogbe.format_json(db["index"]));
}
ise db_get(db, key) {
ayanmo entry = db["index"][key];
ti (entry == nil) {
padap? nil;
}
ayanmo data = Storage.mmap_read_str(db["data"], entry["offset"] + 4, entry["length"]);
padap? Ogbe.parse_json(data);
}
// Usage
ayanmo db = init_database();
db_put(db, "user:1", {"name": "Adé", "email": "ade@example.com"});
ayanmo user = db_get(db, "user:1");
Irosu.fo(user["name"]); // "Adé"System calls, process management, signal handling
// procmon.ifa - System process monitor
ayanmo Kernel = import("@infra/kernel");
ise get_process_info(pid) {
ayanmo stat = Kernel.proc_stat(pid);
ayanmo mem = Kernel.proc_mem(pid);
padap? {
"pid": pid,
"name": stat["name"],
"state": stat["state"],
"cpu_percent": stat["cpu_percent"],
"mem_mb": mem["rss"] / (1024 * 1024),
"threads": stat["num_threads"]
};
}
ise list_processes() {
ayanmo pids = Kernel.list_pids();
ayanmo processes = [];
fun pid ninu pids {
ayanmo info = get_process_info(pid);
ti (info != nil) {
ayanmo processes = Ogunda.push(processes, info);
}
}
// Sort by CPU usage
padap? Osa.sort_by(processes, |p| -p["cpu_percent"]);
}
ise monitor_loop() {
Irosu.fo("PID\tCPU%\tMEM(MB)\tNAME");
Irosu.fo("---\t----\t------\t----");
nigba (otito) {
ayanmo procs = list_processes();
ayanmo top10 = Ogunda.slice(procs, 0, 10);
Ose.clear();
fun p ninu top10 {
Irosu.fo(p["pid"] + "\t" + p["cpu_percent"] + "%\t" + p["mem_mb"] + "\t" + p["name"]);
}
Oyeku.sleep(1000);
}
}
monitor_loop();Graphics shaders, compute shaders, render pipelines
// fractal.ifa - Mandelbrot set renderer
ayanmo Shaders = import("@infra/shaders");
ayanmo WIDTH = 1920;
ayanmo HEIGHT = 1080;
ayanmo MAX_ITER = 500;
// Compute shader for Mandelbrot
ayanmo mandelbrot_shader = Shaders.compile("
@group(0) @binding(0) var output: array;
fn hsv_to_rgb(h: f32, s: f32, v: f32) -> vec3 {
let c = v * s;
let x = c * (1.0 - abs(fract(h / 60.0) * 2.0 - 1.0));
let m = v - c;
// ... color conversion
return vec3(r + m, g + m, b + m);
}
@compute @workgroup_size(16, 16)
fn main(@builtin(global_invocation_id) id: vec3) {
let x = f32(id.x) / f32(WIDTH) * 3.5 - 2.5;
let y = f32(id.y) / f32(HEIGHT) * 2.0 - 1.0;
var zx = 0.0;
var zy = 0.0;
var iter = 0u;
loop {
if (iter >= MAX_ITER || zx*zx + zy*zy > 4.0) { break; }
let xtemp = zx*zx - zy*zy + x;
zy = 2.0*zx*zy + y;
zx = xtemp;
iter++;
}
let hue = f32(iter) / f32(MAX_ITER) * 360.0;
let color = hsv_to_rgb(hue, 1.0, select(0.0, 1.0, iter < MAX_ITER));
let idx = id.y * WIDTH + id.x;
output[idx] = pack_rgba(color);
}
");
// Render
ayanmo buffer = Shaders.create_buffer(WIDTH * HEIGHT * 4);
Shaders.dispatch(mandelbrot_shader, [buffer], WIDTH / 16, HEIGHT / 16);
// Save image
ayanmo pixels = Shaders.read_buffer(buffer);
Shaders.save_png(pixels, WIDTH, HEIGHT, "mandelbrot.png");
Irosu.fo("? Fractal rendered to mandelbrot.png");