Seung-Mo Cho

A real-time media framework for asymmetric MPSoC

Multiprocessor-system-on-a-chips (MPSoCs) are being increasingly employed to solve a diverse spectrum of problems from both high-end and low-end computing. Multimedia streaming applications can get great performance from them, but developing MPSoC software that guarantees real-time requirements is very difficult. In this paper, we present an architecture of real-time media framework that can provide both easy of programming and real-time guarantee to multimedia applications. In addition, programming model and mechanism for real-time guarantee are briefly explained. Issues in developing media framework on asymmetric MPSoC hardware further presented, which we are going to apply in our media framework implementation

Co-validation environment for memory card compatibility test: a case study

As diverse memory cards based on NAND flash memory are getting popularity with consumer electronics such as digital camera, camcorder and MP3 player, the compatibility problems between a newly developed memory card and existent host systems have become a main obstacle to time-to-market delivery of product. The common practice for memory card compatibility test is to use a real host system as a test bed. As an improved solution, an FPGA-based prototyping board can be used for emulating host systems. However, the above approaches require a long set-up time and have limitations in representing various host and device systems. In this paper, we propose a co-validation environment for compatibility test between memory card and host system using formal modeling based on Esterel language and co-simulation methodology. Finally, we demonstrate the usefulness of the proposed environment with a case study of real memory card development.

Parallelization and analysis of speech recognition on mobile multi-core processor

Speech recognition is an important application which requires large amount of computation and data. We parallelized speech recognition on ARM11-mpcore, one of the mobile multi-core processors. We achieved 1.92 times speed-up using four cores. We argue that this is sufficiently close to the theoretical best regarding Amdahls law. We also evaluated it on Intel Core2Quad to derive requirements for future mobile multi-core platforms.