Evaluating OpenMP on Chip MultiThreading Platforms

Liao, Chunhua; Liu, Zhenying; Huang, Lei; Chapman, Barbara

doi:10.1007/978-3-540-68555-5_15

Cited by 22 publications

(17 citation statements)

References 14 publications

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“…All of them can be used for programming multi-core CPUs, but MPI is more appropriate for distributed shared memory (DSM) systems, such as computational clusters [11]. Among TBB, Pthreads and OpenMP, the last has been more used to programming SMP systems because its performance and portability for different CPUs, compilers and OS [10,12,15,16].…”

Section: Parallel Processingmentioning

confidence: 99%

“…The works [28] and [16] evaluate the performance of OpenMP benchmarks and applications on a simultaneous multithreaded processor (SMT) and a single-chip multiprocessor (CMP). They conclude that OpenMP performs better on CMP than SMT because threads do not share core resources.…”

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

“…They conclude that OpenMP performs better on CMP than SMT because threads do not share core resources. They [16,28] say that the performance tends to stop increasing when the number of threads extrapolates the number of cores. The works [28] and [16] do not evaluate experiments where the number of threads is superior to eight.…”

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

“…They [16,28] say that the performance tends to stop increasing when the number of threads extrapolates the number of cores. The works [28] and [16] do not evaluate experiments where the number of threads is superior to eight. Otherwise, the work [29] says that oversubscription (two, four and eight tasks per core) can improve overall system performance with OpenMP tunning.…”

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

“…This work uses four approaches to parallelize the inspection loop using OpenMP library: static, round-robin, dynamic and guided. Each one corresponds to the scheduling types defined in the OpenMP library [16].…”

Section: Designing a Parallel Version Of Clamav With Openmpmentioning

confidence: 99%

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Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed

et al. 2017

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Increasingly sophisticated antivirus (AV) software and the growing amount and complexity of malware demand more processing power from personal computers, specifically from the central processor unit (CPU). This paper conducted performance tests with Clam AntiVirus (ClamAV) and improved its performance through parallel processing on multiple cores using the Open Multi-Processing (OpenMP) library. All the tests used the same dataset constituted of 1.33 GB of data distributed among 2766 files of different sizes. The new parallel version of ClamAV implemented in our work achieved an execution time around 62% lower than the original software version, reaching a speedup of 2.6 times faster. The main contribution of this work is to propose and implement a new version of the ClamAV antivirus using parallel processing with OpenMP, easily portable to a variety of hardware platforms and operating systems.

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Section: Parallel Processingmentioning

confidence: 99%

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

Section: Multi-core Cpu Programmingmentioning

confidence: 99%

Section: Designing a Parallel Version Of Clamav With Openmpmentioning

confidence: 99%

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Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed

et al. 2017

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OpenUH: an optimizing, portable OpenMP compiler

Liao

Hernández

Chapman

et al. 2007

Concurrency and Computation

Self Cite

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SUMMARYOpenMP has gained wide popularity as an API for parallel programming on shared memory and distributed shared memory platforms. Despite its broad availability, there remains a need for a portable, robust, open source, optimizing OpenMP compiler for C/C++/Fortran 90, especially for teaching and research, for example into its use on new target architectures, such as SMPs with chip multi-threading, as well as learning how to translate for clusters of SMPs. In this paper, we present our efforts to design and implement such an OpenMP compiler on top of Open64, an open source compiler framework, by extending its existing analysis and optimization and adopting a source-to-source translator approach where a native back end is not available. The compilation strategy we have adopted and the corresponding runtime support are described. The OpenMP validation suite is used to determine the correctness of the translation. The compiler's behavior is evaluated using benchmark tests from the EPCC microbenchmarks and the NAS parallel benchmark.

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Improving energy efficiency of asymmetric chip multithreaded multiprocessors through reduced OS noise scheduling

Grant

Afsahi

2009

Concurrency and Computation

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SUMMARYThe performance of the emerging chip multithreaded symmetric multiprocessors (SMPs) is of great importance to the high performance computing community. However, the growing power consumption of such systems is of increasing concern, and techniques that can be used to increase the overall system power efficiency while sustaining the performance are very desirable. Operating system (OS) noise can have a dramatic effect on the system performance. Effectively handling the smaller OS tasks while simultaneously preserving application thread synchronicity leads to gains in the overall system efficiency. Recently, under a fixed power budget, asymmetric multiprocessors (AMP) have been proposed to improve the performance of multithreaded applications. An AMP in this context is a multiprocessor system in which its processors are not operating at the same frequency. This paper proposes two simple scheduling methods that reduce the impact of OS noise, while simultaneously taking advantage of an opportunity to increase the overall machine energy efficiency on AMP servers. Prototyping AMPs on a commercial 2-way dual-core Hyper-Threaded (HT) Intel Xeon SMP server, using real power measurements across six SPEC OpenMP applications, indicates that the first proposed scheduler performs better on average for HT-enabled systems, whereas the second scheduler is superior on average for HT-disabled systems.

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Evaluating OpenMP on Chip MultiThreading Platforms

Cited by 22 publications

References 14 publications

Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed

Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed

OpenUH: an optimizing, portable OpenMP compiler

Improving energy efficiency of asymmetric chip multithreaded multiprocessors through reduced OS noise scheduling

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