Thermal-Aware Test Schedule and TAM Co-Optimization for Three-Dimensional IC

[[abstract]]Testing is regarded as one of the most difficult challenges for three-dimensional integrated circuits (3D ICs). In this paper, we want to optimize the cost of TAM (test access mechanism) and the test time for 3D IC. We used both greedy and simulated annealing algorithms to solve this optimization problem. We compare the results of two assumptions: soft-die mode and hard-die mode. The former assumes that the DfT of dies cannot be changed, while the latter assumes that the DfT of dies can be adjusted. The results show that thermal-aware cooptimization is essential to decide the optimal TAM and test schedule. Blindly adding TAM cannot reduce the total test cost due to temperature constraints. Another conclusion is that soft-die mode is more effective than hard-die mode to reduce the total test cost for 3D IC.[[notice]]補正完畢[[booktype]]電子

Test impact on the overall die-to-wafer 3D stacked IC cost

One of the key challenges in 3D Stacked-ICs (3D-SIC) is to guarantee high product quality at minimal cost. Quality is mostly determined by the applied tests and cost trade-offs. Testing 3D-SICs is very challenging due to several additional test moments for the mid-bond stacks, i.e., partially created stacks. The key question that this paper answers is what is the best test flow to be used in order to optimize the overall cost while realizing the required quality? We first present a framework covering different test flows for 3D Die-to-Wafer (D2W) stacked ICs. Thereafter, we present a cost model that allows us to evaluate these test flows. The impact of different test flows on the overall 3D-SIC cost for several die yields and stack sizes are investigated; a breakdown of the cost into test, manufacturing and packaging cost is also provided. Our simulation results show that both the test cost and the overall cost in D2W stacking strongly depends on the selected test flow; test flows with pre-bond and mid-bond stacking tests (performed during the stacking process) show a higher test cost share, but significantly reduce the overall 3D-SIC cost.Electrical Engineering, Mathematics and Computer Scienc

The Value of Supply Chain Visibility when Yield is Random

This dissertation focuses on supply chains with uncertainty due to random yields. A common assumption in such systems is that the yields are observable only after all transportation or production steps are completed. The actual yield realization however happens earlier during the process. Technological advances and stronger supply chain collaboration make it possible to observe yield realization in real time and therefore close the time gap between the event and the observation. Within this thesis optimal and heuristic policies are developed that make use of this new type of information in various supply chain settings. These policies are used to identify conditions under which real time yield information is particularly beneficial