• Title/Summary/Keyword: multicycle architecture

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Low-Complexity Deeply Embedded CPU and SoC Implementation (낮은 복잡도의 Deeply Embedded 중앙처리장치 및 시스템온칩 구현)

  • Park, Chester Sungchung;Park, Sungkyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.3
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    • pp.699-707
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    • 2016
  • This paper proposes a low-complexity central processing unit (CPU) that is suitable for deeply embedded systems, including Internet of things (IoT) applications. The core features a 16-bit instruction set architecture (ISA) that leads to high code density, as well as a multicycle architecture with a counter-based control unit and adder sharing that lead to a small hardware area. A co-processor, instruction cache, AMBA bus, internal SRAM, external memory, on-chip debugger (OCD), and peripheral I/Os are placed around the core to make a system-on-a-chip (SoC) platform. This platform is based on a modified Harvard architecture to facilitate memory access by reducing the number of access clock cycles. The SoC platform and CPU were simulated and verified at the C and the assembly levels, and FPGA prototyping with integrated logic analysis was carried out. The CPU was synthesized at the ASIC front-end gate netlist level using a $0.18{\mu}m$ digital CMOS technology with 1.8V supply, resulting in a gate count of merely 7700 at a 50MHz clock speed. The SoC platform was embedded in an FPGA on a miniature board and applied to deeply embedded IoT applications.

The Efficient 32×32 Inverse Transform Design for High Performance HEVC Decoder (고성능 HEVC 복호기를 위한 효율적인 32×32 역변환기 설계)

  • Han, Geumhee;Ryoo, Kwangki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.4
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    • pp.953-958
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    • 2013
  • In this paper, an efficient hardware architecture is proposed for $32{\times}32$ inverse transform HEVC decoder. HEVC is a new image compression standard to deal with much larger image sizes compared with conventional image codecs, such as 4k, 8k images. To process huge image data effectively, it adopts various new block structures. Theses blocks consists of $4{\times}4$, $8{\times}8$, $16{\times}16$, and $32{\times}32$ block. This paper suggests an effective structures to process $32{\times}32$ inverse transform. This structure of inverse transform adopts the decomposed $16{\times}16$ matrixes of $32{\times}32$ matrix, and simplified the operations by implementing multiplying with shifters and adders. Additionally the operations frequency is downed by using multicycle paths. Also this structure can be easily adopted to a multi-size transform or a forward transform block in HEVC codec.