• The Journal of the Convergence on Culture Technology
• /
• v.9 no.1
• /
• pp.771-776
• /
• 2023

Scratchpad memory is a software-controlled on-chip memory designed and used to mitigate the disadvantages of existing cache memories. Existing cache memories have TAG-related hardware control logic, so users cannot directly control cache misses, and their sizes are large and energy consumption is relatively high. Scratchpad memory has advantages in terms of size and energy consumption because it eliminates such hardware overhead, but there is a burden on software to manage data. In this study, data management techniques of scratchpad memory were classified and examined, and ways to maximize the advantages were discussed.

• The KIPS Transactions:PartA
• /
• v.15A no.5
• /
• pp.269-274
• /
• 2008

Recently, lots of embedded processors which can run streaming multimedia with high resolution display are introduced. Among the applications running on these embedded processors, real-time audio streaming is one of the applications that suffer from the lack of energy and memory space. In this paper, we propose a novel data compression method on scratch-pad memory, which saves both useful space on the scratch-pad memory and energy. We have implemented the data compression scheme on the GDM1202 real-time audio streaming processor, and the performance results show that we obtained 13.3% energy saving while maintaining comparable application performance to that of the non-compression case.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.15-17
• /
• 2014

멀티미디어를 비롯한 많은 스트리밍 어플리케이션은 에너지 소비의 상당한 부분을 데이터 접근 연산 실행 명령어에 의해서 소비된다. 이러한 어플리케이션에서는 데이터 재사용성을 이용하여 에너지 소모량을 절감할 수 있다. 빈번히 사용되는 데이터를 고속의 상위 계층 메모리에 상주시켜 메인메모리 접근 횟수를 줄인다. 결과적으로 메모리 서브시스템에서 에너지 소모를 절감할 수 있게 된다. 본 연구에서는 어플리케이션의 재사용성을 분석하여 해당 어플리케이션에 특화된 스크래치패드 메모리 서브시스템 구성을 탐색하는 기법을 제안하고자 한다. 제안된 기법을 사용하면 하드웨어 제어 캐시 메모리와 비교하여 약 49% 에너지 소모를 절감하는 것이 가능하다.

• Communications of the Korean Institute of Information Scientists and Engineers
• /
• v.35 no.10
• /
• pp.46-51
• /
• 2017

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.41-42
• /
• 2009

현재 많은 임베디드 SoC(System-On-Chip)에는 캐시 메모리의 단점을 보완하기 위해 온-칩(On-Chip) SRAM, 즉, SPM(Scratchpad Memory)를 내장하고 있으며 SPM은 그 특성상 캐시 메모리와 달리 소프트웨어가 직접 관리해야 한다. 본 논문에서는 NUMA를 지원하는 Linux 상에서 이식성이 높으면서 단순하게 구현할 수 있는 SPM 관리 방법을 제안한다.

• Journal of KIISE:Computer Systems and Theory
• /
• v.36 no.2
• /
• pp.102-110
• /
• 2009

The memory wall is the growing disparity of speed between CPU and memory outside the CPU chip. An economical solution is a memory hierarchy organized into several levels, such as processor registers, cache, main memory, disk storage. We introduce a novel memory hierarchy optimization technique in Linux based embedded systems using on-chip SRAM for the first time. The optimization technique allocates On-Chip SRAM to the code/data that selected by programmers by using virtual memory systems. Experiments performed with nine applications indicate that the runtime improvements can be achieved by up to 35%, with an average of 14%, and the energy consumption can be reduced by up to 40%, with an average of 15%.

• The KIPS Transactions:PartA
• /
• v.13A no.7 s.104
• /
• pp.589-598
• /
• 2006

In this paper, we describe the development and optimization of an embedded Biuetooth solution on an SoC platform for real-time audio streaming over a Bluetooth wireless link. The solution includes embedded Bluetooth protocol stack and profile simplemented on a virtual operating system for portability, and other optimization techniques to fully exploit the benefits of multimedia-oriented SoC. The optimization techniques implemented in this paper are memory access minimization by using on-chip scratch pad memory, codec library optimization with DSP and parallel memory access instruction set, and dynamic audio quality adjustment regarding current wireless link status. Experimental results show that the optimized solution presented in this paper can support high-qualify audio streaming without the support of external memory.