Hardware-Aware Ternary Network Architecture Search
Ternary data streams through dataflow hardware — bandwidth-optimal inference.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
Ternary data streams through dataflow hardware — bandwidth-optimal inference.
What It IS
Technical VisionThe architectural essence — what makes this technology work
Streams of ternary-compressed weights flowing through a dataflow processor like water through channels precisely shaped for the current. No stalls, no bubbles — the bandwidth is matched to the compute, and both are matched to the data's natural sparsity.
Abstract
Automated architecture search for designing ternary neural networks optimized for specific hardware targets (edge, mobile, cloud).
Visual Essence
Streams of ternary-compressed weights flowing through a dataflow processor like water through channels precisely shaped for the current. No stalls, no bubbles — the bandwidth is matched to the compute, and both are matched to the data's natural sparsity.
Technology Domains
Related Patents
From the silicon-blueprint visual family
Ternary NPU Compiler Optimization Passes
The ternary chip itself — a complete microarchitecture specification.
Ternary Batch Matrix Multiplication (GEMM)
One execution unit handles both ternary and conventional — switchable precision in a single core.
Ternary Model Compression via Knowledge Distillation
Memory redesigned from the ground up for three-valued data.
Ternary Tensor Decomposition and Factorization
The compiler knows the hardware — scheduling ternary execution across heterogeneous cores.