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3,548
Predicting the Throughput of Multiprocessor Applications under Dynamic Workload
"... Abstract — This work contributes to throughput calculation for real-time multiprocessor applications experiencing dynamic workload variations. We focus on a method to predict the system throughput when processing an arbitrarily long data frame given the meta-characteristics of the workload in that f ..."
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Abstract — This work contributes to throughput calculation for real-time multiprocessor applications experiencing dynamic workload variations. We focus on a method to predict the system throughput when processing an arbitrarily long data frame given the meta-characteristics of the workload
Parallel Job Scheduling Under Dynamic Workloads
, 2003
"... Jobs that run on parallel systems that use gang scheduling for multiprogramming may interact with each other in various ways. These interactions are affected by system parameters such as the level of multiprogramming and the scheduling time quantum. A careful evaluation is therefore required in orde ..."
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Cited by 20 (7 self)
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in order to find parameter values that lead to optimal performance. We perform a detailed performance evaluation of three factors affecting scheduling systems running dynamic workloads: multiprogramming level, time quantum, and the use of backfilling for queue management --- and how they depend on offered
An FPGA-based object detector with dynamic workload balancing
- IEEE Conference on Field-Programmable Technology
, 2011
"... Abstract-In recent years, object detection has been more frequently integrated with other vision processing functions, acting for acquisition of region of interest and is widely adopted in portable devices such as digital camera capable for automatic focusing on faces. In applications targeting tho ..."
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Cited by 2 (0 self)
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mechanism of dynamic workload balancing, which adaptively re-distributes the workload among available processing units, thus achieving highly efficient utilization of hardware resource. The obtained results demonstrate that the proposed system can achieve high utilisation of the dedicated resources leading
Parallel Job Scheduling Under Dynamic Workloads
, 2003
"... Jobs that run on parallel systems that use gang scheduling for multiprogramming may interact with each other in various ways. These interactions are affected by system parameters such as the level of multiprogramming and the scheduling time quantum. A careful evaluation is therefore required in or ..."
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in order to find parameter values that lead to optimal performance. We perform a detailed performance evaluation of three factors affecting scheduling systems running dynamic workloads: multiprogramming level, time quantum, and the use of backfilling for queue management --- and how they depend
Estimating the empirical cost function of routines with dynamic workloads
- In 12th Annual IEEE/ACM Int. Symposium on Code Generation and Optimization (CGO
, 2014
"... A crucial aspect in software development is understanding how an application’s performance scales as a function of its input data. Estimating the empirical cost function of indi-vidual routines of a program can help developers predict the runtime on larger workloads and pinpoint asymptotic ineffi-ci ..."
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Cited by 1 (0 self)
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the scenario where routines dynamically receive input values during their activations. This results in missing workloads generated by kernel system calls (e.g., in response to I/O or network operations) or by other threads, which play a cru-cial role in modern concurrent and interactive applications. Measuring
A Dynamic Voltage Scaling Algorithm for Dynamic Workloads*
, 2007
"... Dynamic Voltage Scaling (DVS) is a promising method to achieve energy saving by slowing down the processor into multiple frequency levels in battery-operated embedded systems. However, the worst case execution time (WCET) of the tasks scheduled by DVS must be known ahead of time to ensure their sche ..."
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their schedulability. In reality, a system's workloads may change significantly without satisfying any prediction. In other words, a task's WCET may not provide useful information about its future real execution time (RET). This paper presents a novel Dynamic-Mode EDF scheduling algorithm when workloads
Parallelizing Satz Using Dynamic Workload Balancing
- In Proceedings of Workshop on Theory and Applications of Satisfiability Testing (SAT’2001
, 2001
"... ..."
Dynamic workload driven data integration in Tableau
- ACM SIGMOD
, 2012
"... ABSTRACT Tableau is a commercial business intelligence (BI) software tool that supports interactive, visual analysis of data. Armed with a visual interface to data and a focus on usability, Tableau enables a wide audience of end-users to gain insight into their datasets. The user experience is a fl ..."
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Cited by 2 (0 self)
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present a new feature in Tableau called data blending, which gives users the ability to create data visualization mashups from structured, heterogeneous data sources dynamically without any upfront integration effort. Users can author visualizations that automatically integrate data from a variety
Dynamic Workload-Based Partitioning for Large-Scale Databases
"... Abstract. Applications with very large databases, where data items are continuously appended, are becoming more and more common. Thus, the development of efficient workload-based data partitioning is one of the main requirements to offer good performance to most of those appli-cations that have comp ..."
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Cited by 1 (0 self)
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complex access patterns, e.g. scientific applications. However, the existing workload-based approaches, which are executed in a static way, cannot be applied to very large databases. In this paper, we propose DynPart, a dynamic partitioning algorithm for continuously growing databases. DynPart efficiently
Results 1 - 10
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3,548