• Title/Summary/Keyword: Cycle accurate simulator

Search Result 23, Processing Time 0.015 seconds

UAV SAR Target Detection Modeling Using STK (STK를 이용한 UAV SAR 목표물 탐지기법)

  • Hwang, Sung-Uk;Kim, Ah-Leum;Song, Jung-Hwan;Lee, Woo-Kyung
    • Journal of Satellite, Information and Communications
    • /
    • v.4 no.2
    • /
    • pp.12-19
    • /
    • 2009
  • In the modern UAV systems, the role of radar payload has been increasing with its unique performance of day-and-night operation and see-through capability over hidden obstacles. Contrary to the satellite reconnaissance, UAV is expected to provide high resolution target detection and recognition capability while frequent flight missions would deliver enhanced SAR image and local information over the target area. STK(Satellite Tool Kit) is a professional space-analysis software widely used in all phases of a space system's life cycle. The simulation of STK is efficient and accurate relatively. In this paper, the author attempt to model the UAV operation and measure the expected SAR image quality. STK(Satellite Tool Kit) is employed to analyze UAV operation and produce SAR raw data. A SAR simulator is developed to produce high resolution SAR image for various ground targets.

  • PDF

Energy-aware Instruction Cache Design using Partitioning (분할 기법을 이용한 저전력 명령어 캐쉬 설계)

  • Kim, Jong-Myon;Jung, Jae-Wook;Kim, Cheol-Hong
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.13 no.5
    • /
    • pp.241-251
    • /
    • 2007
  • Energy consumption in the instruction cacheaccounts for a significant portion of the total processor energy consumption. Therefore, reducing energy consumption in the instruction cache is important in designing embedded processors. This paper proposes a method for reducing dynamic energy consumption in the instruction cache by partitioning it to smaller (less energy-consuming) sub-caches. When a request comes into the proposed cache, only one sub-cache is accessed by utilizing the locality of applications. By contrast, the other sub-caches are not accessed, leading todynamic energy reduction. In addition, the proposed cache reduces dynamic energy consumption by eliminating the energy consumed in tag matching. We evaluated the energy efficiency by running cycle accurate simulator, SimpleScalar. with power parameters obtained from CACTI. Simulation results show that the proposed cache reduces dynamic energy consumption by $37%{\sim}60%$ compared to the traditional direct-mapped instruction cache.

Energy-Performance Efficient 2-Level Data Cache Architecture for Embedded System (내장형 시스템을 위한 에너지-성능 측면에서 효율적인 2-레벨 데이터 캐쉬 구조의 설계)

  • Lee, Jong-Min;Kim, Soon-Tae
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.37 no.5
    • /
    • pp.292-303
    • /
    • 2010
  • On-chip cache memories play an important role in both performance and energy consumption points of view in resource-constrained embedded systems by filtering many off-chip memory accesses. We propose a 2-level data cache architecture with a low energy-delay product tailored for the embedded systems. The L1 data cache is small and direct-mapped, and employs a write-through policy. In contrast, the L2 data cache is set-associative and adopts a write-back policy. Consequently, the L1 data cache is accessed in one cycle and is able to provide high cache bandwidth while the L2 data cache is effective in reducing global miss rate. To reduce the penalty of high miss rate caused by the small L1 cache and power consumption of address generation, we propose an ECP(Early Cache hit Predictor) scheme. The ECP predicts if the L1 cache has the requested data using both fast address generation and L1 cache hit prediction. To reduce high energy cost of accessing the L2 data cache due to heavy write-through traffic from the write buffer laid between the two cache levels, we propose a one-way write scheme. From our simulation-based experiments using a cycle-accurate simulator and embedded benchmarks, the proposed 2-level data cache architecture shows average 3.6% and 50% improvements in overall system performance and the data cache energy consumption.