• 정보처리학회논문지A
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• 제15A권1호
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• pp.61-68
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• 2008

본 논문에서는 MPEG-2, MPEG-4, H.264/AVC 및 VC-1 코덱 표준을 동시에 지원하는 멀티 포맷 비디오 복호기 (MFD)의 설계 방법을 제안한다. 제안하는 MFD는 디지털-TV SoC 에 필요한 고사양의 고화질급 비디오 처리를 목표로 하였다. 리스크 프로세서, 온칩 메모리 및 주변 회로 등의 크기가 큰 공용 자원들을 공유하여 크기를 최소화 하였다. 또한, 코덱 별로 추가 및 제거가 용이한 분리 가능한 구조를 사용하였다. 이러한 구조는 이미 설계되고 검증된 코덱의 안정성의 유지를 용이하게 해준다. 설계된 MFD는 65nm 공정에서 크기가 약 2.4M 게이트 이며, 동작속도는 225MHz이다. 본 논문에서 제안한 MFD는 현재까지 알려진 MFD 중 최고 성능인 고화질급(1080p@30fps) 이상의 비디오 디코딩을 지원하며, 가장 많은 종류의 비디오 코덱 표준을 지원한다.

• 대한임베디드공학회논문지
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• 제14권2호
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• pp.103-111
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• 2019

The IoT-driven large-scaled systems consist of connected things with on-chip executable embedded software. These light-weighted embedded things have limited hardware space, especially small size of on-chip flash memory. In addition, on-chip embedded software in flash memory is not easy to update in runtime to equip with latest services in IoT-driven applications. It is becoming important to develop light-weighted IoT devices with various software in the limited on-chip flash memory. The remote instruction execution in cloud via IoT connectivity enables to provide high performance software execution with unlimited software instruction in cloud and low-power streaming of instruction execution in IoT edge devices. In this paper, we propose a Cloud-IoT asymmetric structure for providing high performance instruction execution in cloud, still low power code executable thing in light-weighted IoT edge environment using remote instruction execution. We propose a simulated approach to determine efficient partitioning of software runtime in cloud and IoT edge. We evaluated the instruction cloudification using remote instruction by determining the execution time by the proposed structure. The cloud-connected instruction set simulator is newly introduced to emulate the behavior of the processor. Experimental results of the cloud-IoT connected software execution using remote instruction showed the feasibility of cloudification of on-chip code flash memory. The simulation environment for cloud-connected code execution successfully emulates architectural operations of on-chip flash memory in cloud so that the various software services in IoT can be accelerated and performed in low-power by cloudification of remote instruction execution. The execution time of the program is reduced by 50% and the memory space is reduced by 24% when the cloud-connected code execution is used.