Traditional flat scan architectures were built for a generation of SoCs where test data volume was manageable and pin counts were generous. AI accelerators and HPC processors have broken that assumption. Hundreds of millions of scan flip-flops, thousands of replicated IP blocks, and multi-die chiplet configurations have pushed test data volume, routing congestion, and tester bandwidth requirements past what conventional DFT methodologies can absorb. Synopsys is positioning a two-part answer: Unified Compression for data reduction and Streaming Fabric for data delivery across the hierarchy.

Unified Compression, built on DFTMAX SEQ, handles the data-volume problem. It uses re-seedable PRPG-based pattern generation and MISR-based response compaction to achieve high compression ratios at low pin count, with built-in diagnostics and IEEE 1687 support. The codec is reused across manufacturing, burn-in, system-level test, and in-field environments rather than deploying separate hardware per phase. Streaming Fabric addresses the distribution problem. Scan traffic is packetized and routed through a configurable network with dynamic bandwidth management, broadcast delivery to replicated cores, multi-branch parallel execution, and IEEE 1838 compatibility for multi-die package architectures. GPIO and HSIO-based access are supported.

Before this approach, a design with hundreds of millions of scan elements required thousands of parallel scan chains, each consuming routing resources and competing for limited test pins. Timing closure was disrupted by test infrastructure, and large clock and power domain counts pushed test data volumes beyond tester memory limits. Design updates triggered expensive rework loops. Streaming Fabric replaces dedicated scan routes with a packetized network, allocating bandwidth dynamically rather than statically. The source does not quantify test time or area reductions, but the shift from flat to hierarchical is the point: test infrastructure scales with the design hierarchy instead of against it.

The source provides no compression ratio figures, no test time comparisons, and no area overhead numbers. It does not name a specific AI accelerator or HPC processor as a reference design. The SNUG India 2026 presentation cited in the references lists D-Matrix as a co-presenter alongside Synopsys, but the blog does not elaborate on what D-Matrix validated or what chiplet configuration was tested. No competitor products from Cadence or Siemens EDA are mentioned for comparison, and no pricing or licensing model is discussed.

Watch for D-Matrix to publish results from its own chiplet test flows using this methodology. IEEE 1838 adoption in multi-die package test is the other variable to track. If Streaming Fabric becomes the de facto standard for hierarchical scan delivery, competitive pressure on flat-scan DFT tools from other EDA vendors will become visible in the next product cycle for AI silicon.