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SnuCL: An OpenCL Framework for Heterogeneous Clusters

An OpenCL Framework for Heterogeneous Clusters. SnuCL naturally extends the original OpenCL semantics to the heterogeneous cluster environment. OpenCL applications written for a single heterogeneous system with multiple OpenCL compute devices can run on the cluster without any modifications. Multicore CPUs as a. Center for Manycore Programming, Seoul National University. Contact: snucl@aces.snu.ac.kr.

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

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SnuCL: An OpenCL Framework for Heterogeneous Clusters | snucl.snu.ac.kr Reviews
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An OpenCL Framework for Heterogeneous Clusters. SnuCL naturally extends the original OpenCL semantics to the heterogeneous cluster environment. OpenCL applications written for a single heterogeneous system with multiple OpenCL compute devices can run on the cluster without any modifications. Multicore CPUs as a. Center for Manycore Programming, Seoul National University. Contact: snucl@aces.snu.ac.kr.
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1 features
2 download
3 publications
4 tutorials
5 links
6 extending opencl
7 to clusters
8 integrating opencl
9 vendor platforms
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SnuCL: An OpenCL Framework for Heterogeneous Clusters | snucl.snu.ac.kr Reviews

https://snucl.snu.ac.kr

An OpenCL Framework for Heterogeneous Clusters. SnuCL naturally extends the original OpenCL semantics to the heterogeneous cluster environment. OpenCL applications written for a single heterogeneous system with multiple OpenCL compute devices can run on the cluster without any modifications. Multicore CPUs as a. Center for Manycore Programming, Seoul National University. Contact: snucl@aces.snu.ac.kr.

INTERNAL PAGES

snucl.snu.ac.kr snucl.snu.ac.kr
1

Tutorials - SnuCL Suite

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

SnuCL: A Unified OpenCL Framework. OpenCL for Heterogeneous Clusters. SnuCL: An OpenCL Framework for Heterogeneous Clusters. SnuCL: An OpenCL Framework for Heterogeneous CPU/GPU Clusters. SnuCL: An OpenCL Framework and Unified Programming Model for Heterogeneous CPU/GPU Clusters. Contact: snucl@aces.snu.ac.kr.

2

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.

3

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...

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opencl.snu.ac.kr opencl.snu.ac.kr

Chundoong - Center for Manycore Programming

http://opencl.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...

opencl.snu.ac.kr opencl.snu.ac.kr

Papers - Center for Manycore Programming

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

Software Shared Virtual Memory. Compilation Techniques for Multicores/Multiprocessors. Dual Instruction Set Processors. Processor in Memory Architecture. Heehoon Kim, Hyoungwook Nam, Wookeun Jung, and Jaejin Lee. Performance Analysis of CNN Frameworks for GPUs, To appear in. ISPASS '17: Proceedings of 2017 IEEE International Symposium on Performance Analysis of Systems and Software. PPoPP '17: Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Pp 1255—...

aces.snu.ac.kr aces.snu.ac.kr

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...

aces.snu.ac.kr aces.snu.ac.kr

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.

aces.snu.ac.kr aces.snu.ac.kr

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...

aces.snu.ac.kr aces.snu.ac.kr

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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SnuCL: An OpenCL Framework for Heterogeneous Clusters

An OpenCL Framework for Heterogeneous Clusters. SnuCL naturally extends the original OpenCL semantics to the heterogeneous cluster environment. OpenCL applications written for a single heterogeneous system with multiple OpenCL compute devices can run on the cluster without any modifications. Multicore CPUs as a. Center for Manycore Programming, Seoul National University. Contact: snucl@aces.snu.ac.kr.

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