┌─────────────────────────────────────────┐
│ Application Layer │
│ (User Models, Training Scripts) │
├─────────────────────────────────────────┤
│ Actor System Layer │
│ (Scheduling, Messaging, Supervision) │
├─────────────────────────────────────────┤
│ GPU Abstraction Layer │
│ (CUDA, ROCm, Vulkan, Metal, CPU) │
├─────────────────────────────────────────┤
│ Memory Management Layer │
│ (Allocators, Zero-copy, RDMA) │
├─────────────────────────────────────────┤
│ Distribution Layer │
│ (Clustering, Gossip, Consensus) │
├─────────────────────────────────────────┤
│ Runtime Layer │
│ (OS Threads, I/O, Networking) │
└─────────────────────────────────────────┘
pub const ActorSystem = struct {
// Fixed-size pools (Tiger Style)
const MAX_ACTORS = 1_000_000;
const MAX_WORKERS = 1024;
actors: BoundedArray(Actor, MAX_ACTORS),
workers: [MAX_WORKERS]Worker,
scheduler: Scheduler,
registry: ActorRegistry,
pub fn init(config: Config) !ActorSystem {
// Static allocation at startup
var system: ActorSystem = undefined;
system.actors = try BoundedArray(Actor, MAX_ACTORS).init();
// Initialize workers
const worker_count = @min(config.workers, MAX_WORKERS);
for (0..worker_count) |i| {
system.workers[i] = try Worker.init(i);
}
return system;
}
};
pub const Message = struct {
// Fixed-size message header
id: u128,
from: ActorId,
to: ActorId,
timestamp: i64,
// Payload variants
payload: union(enum) {
// Small messages inline (Tiger Style: avoid allocation)
small: [256]u8,
// Large messages via zero-copy
zero_copy: struct {
ptr: [*]u8,
len: usize,
owner: ActorId,
},
// GPU memory reference
gpu_ref: struct {
device: GpuId,
ptr: DevicePtr,
size: usize,
},
// RDMA reference
rdma: struct {
node: NodeId,
addr: u64,
rkey: u32,
},
},
};
pub const Scheduler = struct {
// Per-CPU run queues
run_queues: [MAX_CPUS]RunQueue,
// Work stealing
steal_threshold: u32 = 3,
last_steal: [MAX_CPUS]u64,
pub fn schedule(self: *Scheduler) !*Actor {
const cpu = getCpuId();
// Try local queue first
if (self.run_queues[cpu].pop()) |actor| {
return actor;
}
// Try work stealing
if (self.shouldSteal(cpu)) {
return self.stealWork(cpu);
}
// Return idle actor
return &idle_actor;
}
// Reduction-based preemption
pub fn executeActor(self: *Scheduler, actor: *Actor) !void {
actor.reductions = INITIAL_REDUCTIONS;
while (actor.reductions > 0) {
if (try actor.receiveMessage()) |msg| {
try actor.handleMessage(msg);
actor.reductions -= messageReductions(msg);
} else {
break;
}
}
// Re-enqueue if still has work
if (actor.hasMessages()) {
try self.enqueue(actor);
}
}
};
pub const ActorMemory = struct {
// Cache-aligned for performance
mailbox: align(64) BoundedQueue(Message, 256),
heap: align(4096) [ACTOR_HEAP_SIZE]u8,
stack: align(16) [ACTOR_STACK_SIZE]u8,
// Comptime-known offsets
comptime {
assert(@offsetOf(ActorMemory, "mailbox") % 64 == 0);
assert(@offsetOf(ActorMemory, "heap") % 4096 == 0);
}
};
pub const GpuMemoryPool = struct {
// Per-device pools
pools: [MAX_GPUS]DevicePool,
pub const DevicePool = struct {
// Slab allocator for common sizes
slabs: [SLAB_CLASSES]Slab,
// Large allocations
large_allocs: BTreeMap(usize, Allocation),
pub fn alloc(self: *DevicePool, size: usize) !DevicePtr {
// Use slab for small allocations
if (size <= MAX_SLAB_SIZE) {
const class = sizeToClass(size);
return self.slabs[class].alloc();
}
// Fall back to large allocator
return self.allocLarge(size);
}
};
};
pub const ClusterNode = struct {
id: NodeId,
address: NetworkAddress,
gpus: []GpuInfo,
// Failure detection
last_heartbeat: i64,
phi_score: f64, // Phi accrual failure detector
// Load information
load: LoadMetrics,
pub const LoadMetrics = struct {
cpu_usage: f32,
memory_usage: f32,
gpu_usage: [MAX_GPUS_PER_NODE]f32,
network_bandwidth: f32,
};
};
pub const ConsensusModule = struct {
// Raft for critical decisions
raft: RaftNode,
// Operations requiring consensus
pub fn requiresConsensus(op: Operation) bool {
return switch (op) {
.node_join, .node_leave => true,
.supervisor_failover => true,
.cluster_reconfiguration => true,
else => false,
};
}
};
System Supervisor
├── GPU Supervisor
│ ├── CUDA Supervisor
│ │ └── Kernel Actors
│ └── ROCm Supervisor
│ └── Kernel Actors
├── Model Supervisor
│ ├── Layer Supervisors
│ │ └── Layer Actors
│ └── Optimizer Supervisor
│ └── Optimizer Actors
└── Data Supervisor
├── Dataset Actors
└── Dataloader Actors
pub const RestartStrategy = enum {
one_for_one, // Restart only failed actor
one_for_all, // Restart all children
rest_for_one, // Restart failed and younger siblings
simple_one_for_one, // Dynamic children
};
pub const RestartPolicy = struct {
strategy: RestartStrategy,
max_restarts: u32 = 10,
time_window: i64 = 60_000_000_000, // 60 seconds
backoff: BackoffStrategy = .exponential,
};
pub fn selectBackend(comptime device: Device) type {
return switch (device) {
.cuda => CudaBackend,
.rocm => RocmBackend,
.vulkan => VulkanBackend,
.metal => MetalBackend,
.cpu => CpuBackend,
};
}
// Zero-cost abstraction
pub fn matmul(comptime device: Device) MatmulFn {
const Backend = selectBackend(device);
return Backend.matmul;
}
pub const CacheAlignedArray = struct {
pub fn init(comptime T: type, comptime len: usize) type {
return struct {
// Ensure cache line alignment
data: [@divCeil(len * @sizeOf(T), 64) * 64]u8 align(64),
pub fn get(self: *@This(), idx: usize) T {
const ptr = @ptrCast([*]T, &self.data);
return ptr[idx];
}
};
}
};