• The Journal of Korean Association of Computer Education
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• v.18 no.2
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• pp.71-81
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• 2015

In the EISC processor, the Instruction Queue (IQ) supporting LERI folding and loop buffering occupies roughly 20% of real estate, and its efficient utilization is a key for performance. This paper presents an architectural enhancement for the IQ utilization with return address stack (RAS) in the EISC processor. The proposed architecture eliminates the RAS corruption from the wrong-path, taking advantage of shallow pipeline. In experiments, a 4-entry RAS reduces the number of IQ flushes by up to 58.90% over baseline, and an 8-entry RAS by up to 61.28%. The experiments show up to 3.47% performance improvement with 8-entry RAS and up to 3.15% performance improvement with 4-entry RAS.

• The KIPS Transactions:PartA
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• v.17A no.3
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• pp.153-158
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• 2010

Most of software developers use the GNU Debugger (GDB) in order to debug code execution. The GDB supports a remote debugging environment through serial communication. However, in embedded systems, the speed is limited in the serial communication. Due to this reason, the serial communication is rarely used for the debugging purpose. To solve this problem, many embedded systems adapt the JTAG and the USB interface. This paper proposes debugging environment via USB-JTAG interface to debug the EISC processor, and introduces how the USB interface works on the GDB and how the JTAG module handles debugging packets.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.47-48
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• 2009

많은 개발자들은 프로세서 디버깅을 위해 GDB를 사용한다. 임베디드 시스템에서 GDB의 원격 디버깅은 시리얼 통신을 사용한다. 그러나, 시리얼 통신은 속도에 제한이 있으며, 시리얼 포트 마저 점차 사라져 가는 추세이다. 이를 극복하기 위해 많은 임베디드 시스템이 JTAG 인터페이스를 탑재하고 있으며, USB 인터페이스를 사용하여 통신을 한다. 이 논문에서는 EISC 아키텍처 기반의 임베디드 시스템을 디버깅하기 위한 USB-JTAG 인터페이스 개발 방법을 제안하고, GDB 환경에서의 USB 인터페이스 구축 방법과 디버깅 패킷을 분석하기 위한 JTAG 모듈의 개발 방법을 소개한다.

• 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.