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- Grahn, Håkan
(författare)
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Transactional Memory
- 2010
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Ingår i: Journal of Parallel and Distributed Computing. - : Elsevier. - 0743-7315 .- 1096-0848. ; 70:10, s. 993-1008
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Tidskriftsartikel (refereegranskat)abstract
- Current and future processor generations are based on multicore architectures where the performance increase comes from an increasing number of cores on a chip. In order to utilize the performance potential of multicore architectures the programs also need to be parallel, but writing parallel programs is a non-trivial task. Transactional memory tries to ease parallel program development by providing atomic and isolated execution of code sequences, enabling software composability and protected access to shared data. In addition, transactional memory has the ability to execute atomic code sequences in parallel as long as no data conflicts occur. Transactional memory implementation proposals exit for both hardware and software, as well as hybrid solutions. This special issue on transactional memory introduces transactional memory as a concept, presents an overview of some of the most important approaches so far, and finally, includes five articles that advances the state-of-the-art in transactional memory research.
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| 4. |
- Taheri, Javid, et al.
(författare)
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Fuzzy Online Location Management in Mobile Computing Environments
- 2011
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Ingår i: Journal of Parallel and Distributed Computing. - : Academic Press. - 0743-7315 .- 1096-0848. ; 71:8, s. 1142-1153
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a new approach, namely Intelligent Fuzzy Online Location Management Strategy (IFOLMS), based on Fuzzy clustering techniques to solve the mobile location management problem. Using a Fuzzy location estimator in this technique, mobile users' past movements are used in making future paging decisions by the network. IFOLMS has the potential to lead to massive savings in the number of network signal transactions that must be made to locate users. Performance of the proposed approach has been measured by using several test networks; it shows promising results - around 50% reduction in network cost - when compared to many of the existing location management techniques (including GSM). Results also provide new insights into the mobility management problem and its associated performance issues.
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| 5. |
- Wittek, Peter, et al.
(författare)
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Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment
- 2013
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Ingår i: Journal of Parallel and Distributed Computing. - : Elsevier Inc. - 0743-7315 .- 1096-0848. ; 73:2, s. 198-206
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Tidskriftsartikel (refereegranskat)abstract
- Scientific computations have been using GPU-enabled computers successfully, often relying on distributed nodes to overcome the limitations of device memory. Only a handful of text mining applications benefit from such infrastructure. Since the initial steps of text mining are typically data intensive, and the ease of deployment of algorithms is an important factor in developing advanced applications, we introduce a flexible, distributed, MapReduce-based text mining workflow that performs I/O-bound operations on CPUs with industry-standard tools and then runs compute-bound operations on GPUs which are optimized to ensure coalesced memory access and effective use of shared memory. We have performed extensive tests of our algorithms on a cluster of eight nodes with two NVidia Tesla M2050s attached to each, and we achieve considerable speedups for random projection and self-organizing maps.
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