| 1. |
- Hansson, Erik, 1983-, et al.
(författare)
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A Quantitative Comparison of PRAM based Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs
- 2014
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Ingår i: 27th International Conference on Architecture of Computing Systems (ARCS), 2014, ARCS Workshops: Proc. PASA-2014 11th Workshop on Parallel Systems and Algorithms, Lübeck, Germany. - Lübeck, Germany : VDE Verlag GmbH. - 9783800735792 ; , s. 27-33
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Konferensbidrag (refereegranskat)abstract
- The performance of current multicore CPUs and GPUs is limited in computations making frequent use of communication/synchronization between the subtasks executed in parallel. This is because the directory-based cache systems scale weakly and/or the cost of synchronization is high. The Emulated Shared Memory (ESM) architectures relying on multithreading and efficient synchronization mechanisms have been developed to solve these problems affecting both performance and programmability of current machines. In this paper, we compare preliminarily the performance of three hardware implemented ESM architectures with state-of-the-art multicore CPUs and GPUs. The benchmarks are selected to cover different patterns of parallel computation and therefore reveal the performance potential of ESM architectures with respect to current multicores.
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| 2. |
- Forsell, Martti, et al.
(författare)
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Hardware and Software Support for NUMA Computing on Configurable Emulated Shared Memory Architectures
- 2013
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Ingår i: 2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW). - : IEEE conference proceedings. - 9780769549798 ; , s. 640-647
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Konferensbidrag (refereegranskat)abstract
- The emulated shared memory (ESM) architectures are good candidates for future general purpose parallel computers due to their ability to provide easy-to-use explicitly parallel synchronous model of computation to programmers as well as avoid most performance bottlenecks present in current multicore architectures. In order to achieve full performance the applications must, however, have enough thread-level parallelism (TLP). To solve this problem, in our earlier work we have introduced a class of configurable emulated shared memory (CESM) machines that provides a special non-uniform memory access (NUMA) mode for situations where TLP is limited or for direct compatibility for legacy code sequential computing or NUMA mechanism. Unfortunately the earlier proposed CESM architecture does not integrate the different modes of the architecture well together e.g. by leaving the memories for different modes isolated and therefore the programming interface is non-integrated. In this paper we propose a number of hardware and software techniques to support NUMA computing in CESM architectures in a seamless way. The hardware techniques include three different NUMA-shared memory access mechanisms and the software ones provide a mechanism to integrate NUMA computation into the standard parallel random access machine (PRAM) operation of the CESM. The hardware techniques are evaluated on our REPLICA CESM architecture and compared to an ideal CESM machine making use of the proposed software techniques.
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| 4. |
- Rozental, Alexander, et al.
(författare)
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Overcoming procrastination : One-year follow-up and predictors of change in a randomized controlled trial of Internet-based cognitive behavior therapy
- 2016
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Ingår i: EABCT 2016 Abstract Book. ; , s. 542-542
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Konferensbidrag (refereegranskat)abstract
- Introduction: Procrastination is defined as the voluntary delay of an intended course of action despite resulting in negative consequences. Procrastination can become a persistent behavioral pattern associated with reduced mood, increased stress, and poorer performance. Approximately one-fifth of the adult population and more than half of the student population experience significant difficulties due to procrastination. However, despite its prevalence, it has received little attention in clinical research. Meanwhile, Internet-based cognitive behavior therapy (ICBT) has been found promising for several psychiatric conditions, but has not yet been used in relation to procrastination. The current study thus aimed to examine the efficacy of ICBT for procrastination at post treatment and one-year follow-up. Furthermore, predictors of change were investigated in order to distinguish variables that might predict at positive treatment outcome.Method: Self-recruited participants (N = 150) with severe and chronic procrastination were randomized to a ten-week treatment program administered via the Internet; guided self-help, unguided self-help, and wait-list control (receiving unguided self-help after the first treatment period). Outcome measures were administered at screening, post treatment, one-year follow-up, or weekly; the Pure Procrastination Scale (PPS), the Irrational Procrastination Scale (IPS), the Susceptibility to Temptation Scale, the Montgomery Åsberg Depression Rating Scale, the Generalized Anxiety Disorder – 7 Items, and the Quality of Life Inventory. The intention-to-treat principle was used for all statistical analyses.Results: Moderate to large effect sizes were obtained at post treatment comparing guided and unguided self-help with wait-list control, the PPS, Cohen’s d = 0.70, 95% confidence interval (CI) [0.29, 1.10], and d = 0.50, 95% CI [0.10, 0.90], and the IPS, d = 0.81 95% CI [0.40, 1.22], and d = 0.69 95% CI [0.29, 1.09]. Clinically significant change was achieved among 31.3–40.0% for guided self-help, compared with 24.0–36.0% for unguided self-help. Neither of the treatment conditions were found to be superior on any of the outcome measures, Fs (98, 65.17-72.55) < 1.70, p > .19. In terms of the outcome at the one-year follow-up, the results will be available at the time of the conference, including the analyses of predictors of change.Conclusion: ICBT could be useful for managing self-reported problems of procrastination, with results from post treatment revealing that both guided self-help and unguided self-help can be of great aid. Findings from the one-year follow-up and analyses of predictors of change will help to determine the long-term benefit and the possible variables responsible for a successful treatment outcome.
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