AST_COMPILER.PY > SILICON_TOPOLOGY
import silicon_lang as sl
import torch

@sl.hardware_accelerate(arch="rv32imaf_ssr")
def compile_attention_layer(q, k, v):
    # Initialize Stream Semantic Registers (SSR)
    streamer = sl.StreamSemanticRegisters(lanes=2)
    
    # Map tensor operations directly to physical cores
    topology = sl.AST_to_RTL(
        target=streamer,
        quantization="logic_aware_shift_add"
    )
    
    # Execute cycle-accurate spatial scheduling
    topology.orchestrate(jitter_variance=0.0)
    
    return topology.export_netlist()

Execution Schedule | SPATIAL_TENSOR_MAP.MLIR

Topology Heatmap

NODE_DENSITY_ANALYSIS.FLX

ACTIVE LATENT
hub
Interactive Node Viewer

Scroll to explore deeper layers of the neural architecture or click specific hubs to view synaptic weight distributions.

THROUGHPUT_SPEED

48.2 TF/s

SYNAPTIC_LATENCY

0.04 ms