標(biāo)題: Titlebook: Job Scheduling Strategies for Parallel Processing; 18th International W Walfredo Cirne,Narayan Desai Conference proceedings 2015 Springer I [打印本頁(yè)] 作者: EVOKE 時(shí)間: 2025-3-21 19:16
書目名稱Job Scheduling Strategies for Parallel Processing影響因子(影響力)
書目名稱Job Scheduling Strategies for Parallel Processing影響因子(影響力)學(xué)科排名
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書目名稱Job Scheduling Strategies for Parallel Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Job Scheduling Strategies for Parallel Processing被引頻次
書目名稱Job Scheduling Strategies for Parallel Processing被引頻次學(xué)科排名
書目名稱Job Scheduling Strategies for Parallel Processing年度引用
書目名稱Job Scheduling Strategies for Parallel Processing年度引用學(xué)科排名
書目名稱Job Scheduling Strategies for Parallel Processing讀者反饋
書目名稱Job Scheduling Strategies for Parallel Processing讀者反饋學(xué)科排名
作者: Eclampsia 時(shí)間: 2025-3-21 22:08 作者: overhaul 時(shí)間: 2025-3-22 01:07
Alexander Herz,Chris Pinkau. We further show how the exposed internals can be exploited to strengthen adversarial examples against the model. Our work starts an important discussion on the security implications of diagnosing deployed models with limited accessibility. The code is available at ..作者: 錫箔紙 時(shí)間: 2025-3-22 05:59 作者: septicemia 時(shí)間: 2025-3-22 10:38 作者: troponins 時(shí)間: 2025-3-22 14:28 作者: 無(wú)彈性 時(shí)間: 2025-3-22 18:40 作者: Capture 時(shí)間: 2025-3-22 23:59
Rajath Kumar,Sathish Vadhiyar-end fashion. At the same time, we maximize the information-theoretic dependency between data and their predicted discrete representations. Our IMSAT is able to discover interpretable representations that exhibit intended invariance. Extensive experiments on benchmark datasets show that IMSAT produc作者: 鬼魂 時(shí)間: 2025-3-23 04:56
Uwe Schwiegelshohnata, offering direct and comprehensible explanations by highlighting key features, deriving rules, and identifying cluster prototypes. The comparison with existing XAI frameworks like SHAP and ClAMP shows that we achieve similar fidelity and simplicity, proving that mixed data clusterings can be eff作者: peak-flow 時(shí)間: 2025-3-23 07:41
paradigm. First, we show formal parallels between differentiable heatmap architectures and standard encoder-decoder architectures for image segmentation. Second, we show that such differentiable heatmap architectures yield competitive results when trained with standard segmentation losses. Third, we作者: 泰然自若 時(shí)間: 2025-3-23 13:00
Real-World Clustering for Task Graphs on Shared Memory Systems,e tasks the real-world speedup achieved with these algorithms may be arbitrarily bad, maybe using many cores to realize a speedup even smaller than one, irrespective of any theoretical guarantees given for these algorithms. This is especially harmful on battery driven devices that would shut down un作者: 擦掉 時(shí)間: 2025-3-23 17:49 作者: 柱廊 時(shí)間: 2025-3-23 20:56
Multi-resource Aware Fairsharing for Heterogeneous Systems,t, we present new enhanced approach that supports multi-resource aware user prioritization mechanism. Importantly, this approach is capable of dealing with the heterogeneity of both jobs and resources. A?working implementation of this new prioritization scheme is currently applied in the Czech Natio作者: 染色體 時(shí)間: 2025-3-23 23:06
Priority Operators for Fairshare Scheduling,y for verification and evaluation of operator characteristics, and evaluates the proposed operator set based on this mathematical framework. Limitations in the numerical representation of scheduling factor values are identified as a key challenge in priority operator formulation, and it is demonstra作者: 得意牛 時(shí)間: 2025-3-24 05:15 作者: 加入 時(shí)間: 2025-3-24 09:38
Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems,rent queues/sites in a multi-queue/grid environment for minimizing wait times of the jobs. Experiments with different production supercomputer job traces show that our prediction strategies can give correct predictions for about 77–87?% of the jobs, and also result in about 12?% improved accuracy wh作者: congenial 時(shí)間: 2025-3-24 12:52 作者: paleolithic 時(shí)間: 2025-3-24 17:06
How to Design a Job Scheduling Algorithm,fly describe scheduling objectives from the viewpoint of a data center offering IaaS. After presenting our algorithmic concept, we provide an evaluation with theoretical means to demonstrate that this approach can also yield meaningful results in practice.作者: 能得到 時(shí)間: 2025-3-24 19:23 作者: Rct393 時(shí)間: 2025-3-25 00:04
978-3-319-15788-7Springer International Publishing Switzerland 2015作者: 寵愛 時(shí)間: 2025-3-25 03:53 作者: 蠟燭 時(shí)間: 2025-3-25 11:12 作者: 侵害 時(shí)間: 2025-3-25 15:22
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/j/image/500995.jpg作者: gait-cycle 時(shí)間: 2025-3-25 18:42 作者: 使無(wú)效 時(shí)間: 2025-3-25 20:03 作者: exacerbate 時(shí)間: 2025-3-26 04:02
Dongyou Seo,Myungsun Kim,Hyeonsang Eom,Heon Y. Yeomip-off providers. Thus, in the proposed work an attempt has been made to help the Law Enforcement (LE) personnel to assess the legitimacy of a Tip-off from a voice call. For the aforesaid objective, four widely used mental states such as ‘Anger’, ‘Happy’, ‘Sadness’, and ‘Neutral’ have been considere作者: Popcorn 時(shí)間: 2025-3-26 06:05 作者: 觀點(diǎn) 時(shí)間: 2025-3-26 09:09 作者: 征稅 時(shí)間: 2025-3-26 14:29 作者: Glucose 時(shí)間: 2025-3-26 16:57 作者: RALES 時(shí)間: 2025-3-26 23:47
?imon Tóth,Dalibor Klusá?ekion. The task includes clustering and hash learning as special cases. Deep neural networks are promising to be used because they can model the non-linearity of data and scale to large datasets. However, their model complexity is huge, and therefore, we need to carefully regularize the networks in or作者: Nonporous 時(shí)間: 2025-3-27 01:24 作者: Leaven 時(shí)間: 2025-3-27 09:16
Uwe Schwiegelshohn real-life data often consists of diverse data types. The unsupervised nature of clustering emphasizes the need to understand the criteria for defining and distinguishing clusters. Current explainable AI (XAI) methods for clustering focus on intrinsically explainable clustering techniques, surrogate作者: PAEAN 時(shí)間: 2025-3-27 12:21
tions of input images in many cases. Consequently, heatmaps have also been leveraged for achieving weakly supervised segmentation with image-level supervision. On the other hand, losses can be imposed on differentiable heatmaps, which has been shown to serve for (1)?improving heatmaps to be more hum作者: Geyser 時(shí)間: 2025-3-27 15:32 作者: 教唆 時(shí)間: 2025-3-27 21:31
Real-World Clustering for Task Graphs on Shared Memory Systems,increasingly important. Previous . scheduling algorithms assume negligible run-time overhead of spawning and joining tasks. We show that this overhead is significant for small- to medium-sized tasks which can often be found in automatically generated task graphs and in existing parallel applications作者: 妨礙議事 時(shí)間: 2025-3-28 01:28
Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-Time Systems,programming technique to take advantage of the hardware advancement in processors manufacturing nowadays. In real-time systems, where tasks have to respect certain timing constraints during execution, a single task has a shorter response time when executed in parallel than the sequential execution. 作者: Mucosa 時(shí)間: 2025-3-28 03:53 作者: Narcissist 時(shí)間: 2025-3-28 09:00 作者: BROW 時(shí)間: 2025-3-28 13:44
User-Aware Metrics for Measuring Quality of Parallel Job Schedules, the most notable problems is our inability to efficiently analyze the quality of schedules. While it is still possible to observe and measure certain aspects of generated schedules using various metrics, it is very challenging to choose a set of metrics that would be representative when measuring t作者: 鐵砧 時(shí)間: 2025-3-28 18:14
Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems,so help meta-schedulers make scheduling decisions. In this work, we have developed a framework for predicting ranges of queue waiting times for jobs by employing multi-class classification of similar jobs in history. Our hierarchical prediction strategy first predicts the point wait time of a job us作者: 跳脫衣舞的人 時(shí)間: 2025-3-28 20:22 作者: Exonerate 時(shí)間: 2025-3-28 23:28
