This paper describes an Embedded DRAM Hybrid Macro, which supports various memory specifications. The eDRAM module generator with Hybrid Macro provides more than 120,000 eDRAM configurations. This eDRAM includes a new architecture called Auto Signal Management (ASM) architecture, which automatically adjusts the timing of the control signals for various eDRAM configurations, and reduces the design Turn Around Time. An Enhanced-on-chip Tester performs the maximum 512b I/O pass/fail simultaneous judgments and the real time repair analysis. The eDRAM testing time is reduced to about 1/64 of the time required using the conventional technique. A test chip is fabricated using a 0.18 µm 4-metal embedded DRAM technology, which utilizes the triple-well, dual-Tox, and Co salicide process technologies. This chip achieves a wide voltage range operation of 1.2 V at 100 MHz to 1.8 V at 200 MHz.

Embedded system approaches to edge computing in IoT implementations are proposed and discussed. Rationales of edge computing and essential core capabilities for IoT data supply innovation are identified. Then, innovative roles and development of MCU and embedded flash memory are illustrated by technology and applications, expanding from CPS to big-data and nomadic/autonomous elements of IoT requirements. Conclusively, a technology roadmap construction specific to IoT is proposed.

A low power 16 Mb embedded DRAM (eDRAM) macro is fabricated using 0.15 µm logic -based embedded DRAM process technology. A 0.5 µm2 CUB (apacitor nder it-line) DRAM cell is newly developed for this process. Novel start-up and dynamic fuse-data loading circuit are developed to realize easy customization of memory capacities with minimum area penalty. A new write-mask control circuit using write-gate sense-amplifier is adopted in order to apply column shift-redundancy circuit. Various low power technologies including unique "non-precharge read-data bus" method are applied. In the test-chip adopting new process-technology and three original circuit-design techniques, random column operation of 166 MHz and data retention power of 123 µW are demonstrated at 1.5 V power supply.