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- Publisher Website: 10.1109/CCIOT.2014.7062496
- Scopus: eid_2-s2.0-84946690210
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Conference Paper: Power and performance analysis of the Graph 500 benchmark on the single-chip cloud computer
| Title | Power and performance analysis of the Graph 500 benchmark on the single-chip cloud computer |
|---|---|
| Authors | |
| Keywords | Performance analysis Power efficiency DVFS Graph 500 Data-intensive computing Many-core computing |
| Issue Date | 2014 |
| Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7057697 |
| Citation | The 2014 International Conference on Cloud Computing and Internet of Things (CCIOT 2014), Changchun, China, 13-14 December 2014. In Conference Proceedings, 2014, p. 9-13 How to Cite? |
| Abstract | The concerns of data-intensiveness and energy awareness are actively reshaping the design of high-performance computing (HPC) systems nowadays. The Graph500 is a widely adopted benchmark for evaluating the performance of computing systems for data-intensive workloads. In this paper, we introduce a data-parallel implementation of Graph500 on the Intel Single-chip Cloud Computer (SCC). The SCC features a non-coherent many-core architecture and multi-domain on-chip DVFS support for dynamic power management. With our custom-made shared virtual memory programming library, memory sharing among threads is done efficiently via the shared physical memory (SPM) while the library has taken care of the coherence. We conduct an in-depth study on the power and performance characteristics of the Graph500 workloads running on this system with varying system scales and power states. Our experimental results are insightful for the design of energy-efficient many-core systems for data-intensive applications. © 2014 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/218932 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lai, Z | - |
| dc.contributor.author | Lam, KT | - |
| dc.contributor.author | Wang, CL | - |
| dc.contributor.author | Su, J | - |
| dc.date.accessioned | 2015-09-18T07:01:27Z | - |
| dc.date.available | 2015-09-18T07:01:27Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | The 2014 International Conference on Cloud Computing and Internet of Things (CCIOT 2014), Changchun, China, 13-14 December 2014. In Conference Proceedings, 2014, p. 9-13 | - |
| dc.identifier.isbn | 978-1-4799-4765-2 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/218932 | - |
| dc.description.abstract | The concerns of data-intensiveness and energy awareness are actively reshaping the design of high-performance computing (HPC) systems nowadays. The Graph500 is a widely adopted benchmark for evaluating the performance of computing systems for data-intensive workloads. In this paper, we introduce a data-parallel implementation of Graph500 on the Intel Single-chip Cloud Computer (SCC). The SCC features a non-coherent many-core architecture and multi-domain on-chip DVFS support for dynamic power management. With our custom-made shared virtual memory programming library, memory sharing among threads is done efficiently via the shared physical memory (SPM) while the library has taken care of the coherence. We conduct an in-depth study on the power and performance characteristics of the Graph500 workloads running on this system with varying system scales and power states. Our experimental results are insightful for the design of energy-efficient many-core systems for data-intensive applications. © 2014 IEEE. | - |
| dc.language | eng | - |
| dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7057697 | - |
| dc.relation.ispartof | International Conference on Cloud Computing and Internet of Things (CCIOT) | - |
| dc.rights | International Conference on Cloud Computing and Internet of Things (CCIOT). Copyright © IEEE. | - |
| dc.rights | ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | Performance analysis | - |
| dc.subject | Power efficiency | - |
| dc.subject | DVFS | - |
| dc.subject | Graph 500 | - |
| dc.subject | Data-intensive computing | - |
| dc.subject | Many-core computing | - |
| dc.title | Power and performance analysis of the Graph 500 benchmark on the single-chip cloud computer | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Lam, KT: kingtin@hku.hk | - |
| dc.identifier.email | Wang, CL: clwang@cs.hku.hk | - |
| dc.identifier.authority | Wang, CL=rp00183 | - |
| dc.description.nature | link_to_OA_fulltext | - |
| dc.identifier.doi | 10.1109/CCIOT.2014.7062496 | - |
| dc.identifier.scopus | eid_2-s2.0-84946690210 | - |
| dc.identifier.hkuros | 251496 | - |
| dc.identifier.spage | 9 | - |
| dc.identifier.epage | 13 | - |
| dc.publisher.place | United States | - |
| dc.customcontrol.immutable | sml 151119 | - |