• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.693-695
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• 2022

디지털 기술이 각 분야의 기술과 융합하는 디지털 전환(Digital Transformation)은 4차 산업혁명을 가속화 하고 있다. 국가적으로 클라우드·인공지능·데이터 관련 정책 수립과 디지털 댐 사업, 데이터 플랫폼 사업 등을 통해 산업분야의 디지털 전환을 추진 중이나, 소재·바이오 등 극히 일부 과학기술 분야 외에 클라우드, 데이터, 인공지능, 시뮬레이션 등을 종합적으로 지원하는 국가적 지원이 전무한 실정이다. 본 논문은 국가 R&D의 디지털 전환 가속화를 위한 디지털융합R&D 플랫폼 제공을 위해 계산과학 SW를 서비스하기 위한 프레임워크를 설계하였다.

• Monthly Korean Chicken
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• v.4 no.12 s.42
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• pp.2-6
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• 1998

98년도 도계량 전년 대비 10.6${%}\$감소 - 종란등급제도입 필요 - 농림부, 가금인플루엔자 고병원성 살처분 조치 - 농림부, 내년 경쟁력제고 사업 폐지 - 브로일러의 사료효율을 높이려면? - 미국 닭고기 생산 둔화 경향 - 일본, 수입닭고기에서 슈퍼세균 발견 - 홍콩, 1인당 닭고기 소비량 1위 - 카자흐, 닭고기 인기 상승 - 신선 ${\cdot}$ 위생적인 닭고기는 바로 이런${\cdots}$ - 도계폐기물 사료와해 일본수출

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.91-96
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• 2013

The application field of supercomputing systems are changing to support into the field for both a large-volume data processing and high-performance computing at the same time such as bio-applications. These applications require high-performance distributed file system for storage management and efficient high-speed processing of large amounts of data that occurs. In this paper, we introduce MAHA-FS for supercomputing systems for processing large amounts of data and high-performance computing, providing excellent metadata operation performance and IO performance. It is shown through performance analysis that MAHA-FS provides excellent performance in terms of the metadata processing and random IO processing.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.523-526
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• 2010

고에너지 물리나 바이오 인포매틱스 연구 분야는 대량의 컴퓨팅 자원을 필요로 한다. 이를 위해서 클러스터 컴퓨팅, 그리드 컴퓨팅, 슈퍼 컴퓨팅, 클라우드 컴퓨팅 자원 등의 여러 컴퓨팅 자원이 사용된다. 사용자는 각 컴퓨팅 자원을 이용하기 위해서 각각의 사용 방법을 배우고, 저마다의 방법으로 각 컴퓨팅 자원을 사용한다. 사용자가 각 컴퓨터 자원의 사용 방법을 습득하기 위해서는 많은 비용과 시간이 필요하다. 사용자가 보다 쉽고 빠르게 컴퓨팅 자원을 활용하기 위하여 여러 컴퓨팅 자원을 사용하기 위한 동일 인터페이스 개발이 필요하다. 본 논문에서는 한국과학기술정보연구원의 타키온 슈퍼컴퓨터를 이용하는 사용자에게 동일한 사용자 인터페이스를 제공하기 위한 Ganga의 원격 SGE 백엔드(Backend) 플러그인을 설계하고 구현하였다.

• Korean Journal of Food Science and Technology
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• v.51 no.2
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• pp.182-187
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• 2019

Women who undergo natural menopause transition have increased numbers of risk factors relating to metabolic syndrome due to estrogen deficiency. This study was conducted to investigate the effect of Superhongmi bran extract on metabolic syndrome improvement in menopausal women. Thirty women, who participated in a randomized, double-blind, placebo-controlled trial, were assigned to placebo-control (n=15) or Superhongmi bran extract (n=15) groups and were asked to consume two tablets (350 mg per extract per tablet) per day. After 12 weeks, weight, body mass index (BMI), plasma triglyceride (TG) levels, and total cholesterol (TC) levels were significantly decreased, whereas HDL-cholesterol (HDL-C), apolipoprotein A1 (ApoA1), adiponectin, superoxide dismutase 1 (SOD1), and GSH (glutathione) concentrations were significantly increased in the Superhongmi bran extract group. Moreover, $17{\beta}-estradiol$, and progesterone levels in the Superhongmi group were significantly higher than those in the placebo-control group. These results suggest that Superhongmi bran extract alleviates metabolic symptom in menopausal women.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.346-348
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• 2002

인공 지능 분야 문제의 특성으로 인하여 병렬 처리 기법의 적용이 자주 고려되고 있다. 특히 순차적인 문제 해결 알고리즘이 병렬 처리 개념과 접목되면서 새로운 특징을 갖는 알고리즘으로 발전될 수 있는데 양방향 병렬 탐색을 그 예로 들 수 있으며 특정 슈퍼컴퓨터를 대상으로 한 구현 결과도 보고 된 바 있다. 본 논문에서는 양방향 병렬 탐색 알고리즘을 보다 보편적인 메시지 패싱 인터페이스(MPI)를 이용하여 구현하고 두 종류의 병렬 시스템을 대상으로 테스트함으로서, MPI 환경에서의 양방향 병렬 탐색의 성능을 비교 분석하였다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.81-90
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• 2013

During the past decade, many changes and attempts have been tried and are continued developing new technologies in the computing area. The brick wall in computing area, especially power wall, changes computing paradigm from computing hardwares including processor and system architecture to programming environment and application usage. The high performance computing (HPC) area, especially, has been experienced catastrophic changes, and it is now considered as a key to the national competitiveness. In the late 2000's, many leading countries rushed to develop Exascale supercomputing systems, and as a results tens of PetaFLOPS system are prevalent now. In Korea, ICT is well developed and Korea is considered as a one of leading countries in the world, but not for supercomputing area. In this paper, we describe architecture design of MAHA supercomputing system which is aimed to develop 300 TeraFLOPS system for bio-informatics applications like human genome analysis and protein-protein docking. MAHA supercomputing system is consists of four major parts - computing hardware, file system, system software and bio-applications. MAHA supercomputing system is designed to utilize heterogeneous computing accelerators (co-processors like GPGPUs and MICs) to get more performance/$, performance/area, and performance/power. To provide high speed data movement and large capacity, MAHA file system is designed to have asymmetric cluster architecture, and consists of metadata server, data server, and client file system on top of SSD and MAID storage servers. MAHA system softwares are designed to provide user-friendliness and easy-to-use based on integrated system management component - like Bio Workflow management, Integrated Cluster management and Heterogeneous Resource management. MAHA supercomputing system was first installed in Dec., 2011. The theoretical performance of MAHA system was 50 TeraFLOPS and measured performance of 30.3 TeraFLOPS with 32 computing nodes. MAHA system will be upgraded to have 100 TeraFLOPS performance at Jan., 2013.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.138-144
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• 2010

Tachyon primary system which introduces recently is a high performance supercomputer that composed with AMD Barcelona nodes. In this paper, we will verify the performance and parallel scalability of TachyonIn by using multi-zone NAS Parallel Benchmark(NPB) which is one of a program with hybrid parallel method. To test performance of hybrid parallel execution, B and C classes of BT-MZ in NPB version 3.3 were used. And the parallel scalability test has finished with Tachyon's 1024 processes. It is the first time in Korea to get a result of hybrid parallel computing calculation using more than 1024 processes. Hybrid parallel method in high performance computing system with multi-core technology like Tachyon describes that it can be very efficient and useful parallel performance benchmarks.

• Applied Chemistry for Engineering
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• v.34 no.4
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• pp.426-433
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• 2023

Capacitor performance was considered using coffee grounds-based activated carbon produced through oil extraction and KOH activation to increase the utilization of boiwaste. Oil extraction from coffee grounds was performed by solvent extraction using n-Hexane and isopropyl alcohol solvents. The AC_CG-Hexane/IPA produced by KOH activation after oil extraction increased the specific surface area by up to 16% and the average pore size by up to 2.54 nm compared to AC_CG produced only by KOH activation without oil extraction. In addition, the pyrrolic/pyridinic N functional group of the prepared activated carbon increased with the extraction of oil from coffee grounds. In the cyclic voltage-current method measurement experiment, the specific capacitance of AC_CG-Hexane/IPA at a voltage scanning speed of 10 mV/s is 133 F/g, which is 33% improved compared to the amorphous capacity of AC_CG (100 F/g). The results show improved electrochemical properties by improving the size and specific surface area of the mesopores of activated carbon by removing components from coffee grounds oil and synergistic effects by increasing electrical conductivity with pyrrolic/pyridinic N functional groups. In this study, the recycling method and application of coffee grounds, a bio-waste, is presented, and it is considered to be one of the efficient methods that can be utilized as an electrode material for high-performance supercapacitors.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.221-230
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• 2020

Supercomputer that shares limited resources to multiple users needs a way to optimize the execution of application. For this, it is useful for system administrators to get prior information and hint about the applications to be executed. In most high-performance computing system operations, system administrators strive to increase system productivity by receiving information about execution duration and resource requirements from users when executing tasks. They are also using profiling techniques that generates the necessary information using statistics such as system usage to increase system utilization. In a previous study, we have proposed a scheduling optimization technique by developing a hardware performance counter-based profiling technique that enables characterization of applications without further understanding of the source code. In this paper, we constructed a profiling testbed cluster to support optimal execution of the supercomputer and experimented with the scalability of the profiling method to analyze application characteristics in the built cluster environment. Also, we experimented that the profiling method can be utilized in actual scheduling optimization with scalability even if the application class is reduced or the number of nodes for profiling is minimized. Even though the number of nodes used for profiling was reduced to 1/4, the execution time of the application increased by 1.08% compared to profiling using all nodes, and the scheduling optimization performance improved by up to 37% compared to sequential execution. In addition, profiling by reducing the size of the problem resulted in a quarter of the cost of collecting profiling data and a performance improvement of up to 35%.