UC San Diego Computer Engineering • VLSI CAD Laboratory • UC San Diego Computer Engineering • VLSI CAD Laboratory • UC San Diego Computer Engineering • VLSI CAD Laboratory • UC San Diego Computer Engineering • VLSI CAD Laboratory Puneet Sharma ( [email protected] ), ECE Puneet Gupta ( [email protected] ), ECE Ion Mandoiu ( [email protected] ), CSE Advisor: Prof. Andrew B. Kahng Layout-Aware Scan-Based Delay Fault Testing ( http://vlsicad.ucsd.edu ) Proposed Solutions Results Delay fault testing is required with increased clock rates and process variation; it requires careful ordering of scan flip-flops (FFs) and insertion of dummy flip-flops in the scan chain. We present algorithms to maximize delay fault coverage while minimizing inserted dummy flip-flops and total scan chain wirelength (WL). Previous works on scanbased delay fault testing have disregarded the large (~10%) impact of scan on total on-chip wiring. ILP for Optimal Max-Coverage Dummy Insertion Given: •Valid scan order, i.e., permutation = (0, 1,…, n+1) of F{SI, SO} with 0 = SI and n+1 = SO •Set of m delay fault tests with weights wt 0 t •Upper bound D on number of inserted dummy FFs Formulation: • xi=1 if dummy FF inserted between I and i+1, else =0 •yt =1 if test t does not forbid any of the scan chain edges after inserting the D dummy FFs, and =0 otherwise • ILP (Maximum Coverage Dummy Insertion) runtimes with CPLEX 7.0 are on the order of minutes for up to 10000 FF instances, due to sparse vectors with many don’t-cares • Note: ILP formulation applies to a given scan order • Results of proposed heuristics on testcases eth and fpu shown in bar graphs below • Scanopt = purely WL-driven LAS • TSP* = 100% coverage-constrained LAS 0 0 Wirelength eth 100.50% 100.00% 100.00% 99.50% Scanopt TSP* MFG MFG* LAS TPMFG 99.00% 98.50% 98.00% MFG 1 tour empty 2 while number of fragments in tour > n+1 3 pick the cheapest edge in G, (u,v) 4 if (u,v) forms a cycle or tour contains an edge with tail u or head v 5 then delete (u,v) from G 6 else 7 if wirelength of (u,v) > threshold 8 then delete (u,v) from G 9 else 10 include (u,v) in tour 11 remove vector pairs incompatible with (u,v) from F 12 update costs of all edges in G fpu 120.00% Scanopt TSP* MFG MFG* LAS TPMFG 80.00% 60.00% 40.00% 20.00% 97.50% 0.00% 97.00% Coverage eth fpu Tradeoff between wirelength and faults made incompatible 25,000,000 Wirelength 20,000,000 15,000,000 Series1 Series2 10,000,000 5,000,000 Algorithm Multi Fragment Greedy (MFG) 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 MFG*: MFG with Thresholded WL-Coverage Control • Modification of MFG, with an edge eligible to be included in the tour only if a linear combination of WL and faults made incompatible by it is less than a given threshold Layout-Aware Scan (LAS): Combined WL + Coverage objective • Edge cost = linear combination of WL and #faults incompatible with edge • Iterated k-opt based (asymmetric) TSP heuristic Future Directions UC San Diego Computer Engineering • VLSI CAD Laboratory • UC San Diego Computer Engineering (*not discussed in this poster) VLSI CAD Laboratory Two-Phase MFG (TPMFG): • Phase 1: Use MFG to generate a tour that is compatible with a large number of vector pairs, called live vectors • Phase 2: Populate tour with edges that are compatible with live vectors; invoke LAS with pure WL objective • Modern test tools generate compacted vectors which are multiple vectors collapsed into one modified heuristics needed to deal with resulting redundancy • Construction of multiple scan chains may be desirable since this can significantly reduce testing time • Layout flows have spare sites for dummy FF insertion (ECOs) need spare site aware scan chain synthesis that inserts dummies at preferred locations • • Multi-fragment greedy (MFG) TSP heuristics to maximize delay fault coverage with minimum WL and bounded #dummy flip-flops • Integer linear program (ILP) formulations: • Optimal insertion of given #dummy FFs in a given scan chain to maximize delay fault coverage • WL-driven with bounded #dummy flip-flops • Optimal insertion of a minimum number of dummy flip-flops to guarantee 100% delay fault coverage • Comprehensive empirical evaluation of tradeoffs among coverage, wirelength, and #dummies tradeoffs • Our Contributions Observations • Scan WL is minimum for Scanopt at cost of coverage • Scan WL is maximum for TSP* by order of magnitude • TPMFG WL comparable to Scanopt; coverage comparable to TSP* UC San Diego Computer Engineering Incompatible faults VLSI CAD Laboratory VLSI CAD Laboratory • 50,000,000 • • VLSI CAD Laboratory • UC San Diego Computer Engineering • VLSI CAD Laboratory UC San Diego Computer Engineering 100,000,000 UC San Diego Computer Engineering • 150,000,000 200,000,000 • Edge cost in TSP = # faults incompatible with the edge • Edge costs change dynamically as algorithm proceeds • Scan-based testing requires scan FFs to be connected into a scan chain that implements a shift register; finding a good ordering is a Traveling Salesman Problem • TSP in a Graph: Vertices = flip-flops, Edge costs dependent on optimization objective • Conflicting objectives for scan-based delay fault testing • Maximize Coverage: Order FFs and insert minimum #dummy FFs to maximize percentage of delay faults covered (e.g., achieve 100% coverage) • Minimize Wirelength: Order FFs to minimize total wiring overhead of scan chain implementation • Previous work: optimize one objective, ignore the other! Our Goal: Maximize delay fault coverage while minimizing wirelength and # of dummy flip-flops 200,000,000 • VLSI CAD Laboratory 800,000,000 Scanopt TSP* MFG MFG* LAS TPMFG VLSI CAD Laboratory • 1,000,000,000 400,000,000 Multi-Fragment Greedy (MFG) Heuristic Given: • FF placement, test vector pairs, max #dummy FFs Output: • Scan order with low wirelength, high coverage 250,000,000 Scanopt TSP* MFG MFG* LAS TPMFG • UC San Diego Computer Engineering 1,200,000,000 600,000,000 Basic Optimization Framework: Traveling Salesman • 300,000,000 1,400,000,000 UC San Diego Computer Engineering • Sequentially apply initialization, launch test vector pairs that differ by 1-bit shift • A vector pair induces constraints on scan ordering (= how FFs are chained to form a shift register); vector pairs with more “don’t cares” create fewer constraints • Two FFs may always be adjacent in the scan chain if we insert a dummy FF (which acts as buffer) between them • Coverage = percentage of faults tested using a given scan ordering 350,000,000 1,600,000,000 • • Background: Scan-Based Delay Fault Testing VLSI CAD Laboratory Abstract • UC San Diego Computer Engineering • ( This project is supported by MARCO GSRC ) • UC San Diego Computer Engineering VLSI CAD Laboratory • •
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