ACES.SNU.AC.KR

Center for Manycore Programming

Intel Parallel Universe Computing Challenge 2014. We have won 2nd prize in Intel Parallel Universe Computing Challenge at SC14. We have exhibited SnuCL and Chundoong at SC14, New Orleans, USA. Korea Supercomputing Challenge 2014. We have won 1st, 2nd, and 4th prize in Korea Supercomputing Challenge 2014. Our most recent research focuses on the following:. Compiler, OS, and architecture interactions for multicores. Heterogeneous computing systems (e.g, GPGPUs) and programming environments.

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Center for Manycore Programming | aces.snu.ac.kr Reviews

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Intel Parallel Universe Computing Challenge 2014. We have won 2nd prize in Intel Parallel Universe Computing Challenge at SC14. We have exhibited SnuCL and Chundoong at SC14, New Orleans, USA. Korea Supercomputing Challenge 2014. We have won 1st, 2nd, and 4th prize in Korea Supercomputing Challenge 2014. Our most recent research focuses on the following:. Compiler, OS, and architecture interactions for multicores. Heterogeneous computing systems (e.g, GPGPUs) and programming environments.

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2 publications

3 snucl

4 chundoong

5 software

6 our sc14 booth

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9 compilers/runtimes for multicores

10 multicore mobile systems

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Center for Manycore Programming | aces.snu.ac.kr Reviews

https://aces.snu.ac.kr

Intel Parallel Universe Computing Challenge 2014. We have won 2nd prize in Intel Parallel Universe Computing Challenge at SC14. We have exhibited SnuCL and Chundoong at SC14, New Orleans, USA. Korea Supercomputing Challenge 2014. We have won 1st, 2nd, and 4th prize in Korea Supercomputing Challenge 2014. Our most recent research focuses on the following:. Compiler, OS, and architecture interactions for multicores. Heterogeneous computing systems (e.g, GPGPUs) and programming environments.

INTERNAL PAGES

aces.snu.ac.kr

1

Chundoong - Center for Manycore Programming

http://aces.snu.ac.kr/chundoong

Chundoong A Low-Cost Energy-Efficient Heterogeneous Supercomputer. Chundoong is a heterogeneous CPU/GPU supercomputer designed and built by the Center for Manycore Programming at Seoul National University and ManyCoreSoft. In October 2012. It is used to evaluate parallel programming models ( SnuCL. Software techniques, and applications developed in Seoul National University. List and 32nd in the Green500. List of November 2012. Its per-node performance is #1 among 412 clusters in TOP500. A self-made 4U c...

2

Current Members - Center for Manycore Programming

http://aces.snu.ac.kr/people

2015 Center for Manycore Programming. Room 515, Building 301, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea.

3

Papers - Center for Manycore Programming

http://aces.snu.ac.kr/publications

Software Shared Virtual Memory. Compilation Techniques for Multicores/Multiprocessors. Dual Instruction Set Processors. Processor in Memory Architecture. Junghyun Kim, Yong-Jun Lee, Jungho Park, and Jaejin Lee. Translating OpenMP Device Constructs to OpenCL Using Unnecessary Data Transfer Elimination, To appear in. SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. Salt Lake City, Utah, USA, November 2016, (Link). 82/446, 18.4%). Junghyun...

4

Software - Center for Manycore Programming

http://aces.snu.ac.kr/software

An OpenCL framework for a heterogeneous cluster that consists of nodes with multiple heterogeneous devices (e.g., multicore CPUs, AMD GPUs, NVIDIA GPUs, and Intel Xeon Phi coprocessors). The NASA Parallel Benchmark suite ported in C, OpenMP C, and OpenCL for both a single compute device and multiple compute devices. An OpenCL framework for ARM CPUs, IBM Cell BE processors, and TI DSPs. A lock-free and mostly synchronization-free dynamic memory allocator for manycores. 2015 Center for Manycore Programming.

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chundoong.snu.ac.kr

천둥 하드웨어 사양

http://chundoong.snu.ac.kr/hardware.html

천둥은 계산 노드 56대(c00 c55), 스토리지 노드 4대(s0 s3), 로그인 노드 1대(login)로 이루어져 있습니다. 모든 노드는 InfiniBand QDR 네트워크와 Gigabit Ethernet 네트워크로 연결되어 있습니다. 로그인 노드는 서울대학교 학내망을 통해 인터넷에 연결되어 있습니다. 2 Intel Xeon E5-2650 (Sandy Bridge-EP, 8-core 2.00GHz). 4 AMD Radeon HD 7970. 128GB (DDR3 1,600MHz). Single-port Mellanox InfiniBand QDR HCA. Red Hat Enterprise Linux 6.3. 노드 당 4.044 TFLOPS. 스토리지 노드 4대는 Lustre 파일 시스템을 제공하며, 한 대는 MDS(metadata server), 세 대는 OSS(object storage server)입니다. 128GB (DDR3 1,333MHz). MDS: RAID 10 (4G cache RAM).

chundoong.snu.ac.kr

천둥 전용 노드 신청

http://chundoong.snu.ac.kr/node_request.html

표시된 항목은 필수사항이오니 반드시 입력해 주시기 바랍니다. 이 약관은 슈퍼컴퓨터 천둥 (이하 천둥 )과 관련 서비스의 이용과 관련하여 서울대학교 매니코어 프로그래밍 연구단(이하 연구단 )과 사용자와의 권리, 의무 및 책임사항, 기타 필요한 사항을 규정함을 목적으로 합니다. 이 약관에서 사용하는 용어의 정의는 다음과 같습니다. 서비스라 함은 천둥의 관련 제반 서비스를 의미합니다. 사용자라 함은 연구단의 서비스에 접속하여 이 약관에 따라 연구단과 이용계약을 체결하고 연구단이 제공하는 서비스를 이용하는 고객을 말합니다. 아이디(ID)라 함은 사용자의 식별과 서비스 이용을 위하여 연구단이 정하는 문자와 숫자의 조합을 의미합니다. 패스워드라 함은 사용자가 부여 받은 아이디와 일치되는 사용자임을 확인하고 비밀 보호를 위해 연구단 혹은 사용자 자신이 정한 문자, 숫자 혹은 기호의 조합을 의미합니다. 제 3 조(약관의 게시와 개정). 제 4 조 (약관의 해석). 제 5 조 (사용자의 정의 및 계약 체결).

chundoong.snu.ac.kr

천둥 사용료 결제

http://chundoong.snu.ac.kr/payment_request.html

900,000쿼터 사용 - 100,000원. 1,800,000쿼터 사용 - 200,000원. 2,700,000쿼터 사용 - 300,000원. 3,600,000쿼터 사용 - 400,000원. 4,500,000쿼터 사용 - 500,000원. 5,400,000쿼터 사용 - 600,000원. 6,300,000쿼터 사용 - 700,000원. 7,200,000쿼터 사용 - 800,000원. 8,100,000쿼터 사용 - 900,000원. 9,000,000쿼터 사용 - 1,000,000원. 9,900,000쿼터 사용 - 1,100,000원. 10,800,000쿼터 사용 - 1,200,000원. 11,700,000쿼터 사용 - 1,300,000원. 12,600,000쿼터 사용 - 1,400,000원. 13,500,000쿼터 사용 - 1,500,000원. 14,400,000쿼터 사용 - 1,600,000원. 15,300,000쿼터 사용 - 1,700,000원. 16,200,000쿼터 사용 - 1,800,000원.

snucl.snu.ac.kr

Publications - SnuCL Suite

http://snucl.snu.ac.kr/publications.html

SnuCL: an OpenCL Framework for Heterogeneous CPU/GPU Clusters. Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, and Jaejin Lee,. ICS '12: Proceedings of the 26th International Conference on Supercomputing. Pp 341-352, San Servolo Island, Venice, Italy, June 2012. OpenCL as a Unified Programming Model for Heterogeneous CPU/GPU Clusters. Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, and Jaejin Lee,. Pp 299-300, New Orleans, Louisiana, USA, February 2011. Junghyun Kim, Gangwon Jo, J...

snucl.snu.ac.kr

Links - SnuCL Suite

http://snucl.snu.ac.kr/links.html

Center for Manycore Programming, Seoul National University. The NASA Parallel Benchmark suite ported in C, OpenMP C, and OpenCL for both a single compute device and multiple compute devices. Contact: snucl@aces.snu.ac.kr.

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Center for Manycore Programming

Intel Parallel Universe Computing Challenge 2014. We have won 2nd prize in Intel Parallel Universe Computing Challenge at SC14. We have exhibited SnuCL and Chundoong at SC14, New Orleans, USA. Korea Supercomputing Challenge 2014. We have won 1st, 2nd, and 4th prize in Korea Supercomputing Challenge 2014. Our most recent research focuses on the following:. Compiler, OS, and architecture interactions for multicores. Heterogeneous computing systems (e.g, GPGPUs) and programming environments.

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