We are developing a software-execution framework based on an octo-core chip multiprocessor named RP2 and an automatic multigrain-parallelizing compiler named OSCAR. The main purpose of this framework is to maintain good speed scalability and power efficiency over the number of processor cores under severe hardware restrictions for embedded use. Key to the speed scalability is reduction of a communication overhead with parallelized tasks. A data-categorization scheme enables small-overhead cache-coherency maintenance by using directives and instructions from the compiler. In this scheme, the number of cache-flushing time is minimized and parallelized tasks are quickly synchronized by using flags in local memory. As regards power efficiency, to reduce power consumption, power supply to processor cores waiting for other cores is timely and frequently cut off, even in the middle of an application, by using a timely-power- gating scheme. In this scheme, to achieve quick mode transition between "NORMAL" mode and "RESUME POWEROFF" mode, register values of the processor core are stored in core-local memory, which is active even in "RESUME POWEROFF" mode and can be accessed in one or two clock cycles. Measured speed and power of an application show good speed scalability in execution time and high power efficiency, simultaneously. In the case of a secure AAC-LC encoding program, execution speed when eight processor cores are used can be increased by 4.85 times compared to that of sequential execution. Moreover, power consumption under the same condition can be reduced by 51.0% by parallelizing and timely-power gating. The time for mode transition is less than 20 micro seconds, which is only 2.5% of the "RESUME POWER-OFF" period.

An advanced microprocessor has been developed for the high performance execution of object oriented language programs. In object oriented languages, improvement of frequent or complex operations such as dynamic type checking, procedure calls, and storage management, contributes toward the increase of overall performance. In order to improve their performance, the microprocessor adopts large on-chip register files, a large EPROM for microstore, and ingenious instruction dispatching and tag-handling mechanisms. By specially treating frequently accessed data, i.e., allocating activation records in register files, much of the data traffic can be effectively localized within the chip, and the complexity of procedure calls as well as the burden imposed on storage management can be alleviated. The tag-handling mechanisms efficiently perform dynamic type checking. As the result, the microprocessor, together with an efficient microprogram, executes object oriented language programs much faster than existing computers. Furthermore, it can efficiently execute other high-level languages by using corresponding microprograms, especially AI-languages.