The proceedings contain 145 papers. The topics discussed include: a Kalman filter based fast noise suppression algorithm;multiband excitation for speech enhancement;distributed audio coding with efficient source corre...
ISBN:
(纸本)9781424436774
The proceedings contain 145 papers. The topics discussed include: a Kalman filter based fast noise suppression algorithm;multiband excitation for speech enhancement;distributed audio coding with efficient source correlation extraction;a temporally varying objective audio quality metric;spectral multi-scale analysis for multi-pitch tracking;a low complexity noise suppressor with hybrid filterbanks and adaptive time-frequency tiling;speaker identification in room reverberation using GMM-UBM;comparison of localization algorithms using attenuation estimates;learning the intrinsic dimensions of the timit speech database with maximum variance unfolding;closed-form MSE performance of the distributed LMS algorithm;a simplified predistorter for distortion compensation of parallel Wiener-type systems based on direct learning architecture;and fundamental issues in the stability of adaptive IIR filters.
The proceedings contain 14 papers. The topics discussed include: robust workflows for science and engineering;a comparison between sector/sphere and Hadoop: lessons learned from a year's worth of benchmarks;a data...
ISBN:
(纸本)9781605587141
The proceedings contain 14 papers. The topics discussed include: robust workflows for science and engineering;a comparison between sector/sphere and Hadoop: lessons learned from a year's worth of benchmarks;a data throughput prediction and optimization service for widely distributed many-task computing;evaluating use of data flow systems for large graph analysis;cloud technologies for bioinformatics applications;in cloud, do MTC or HTC service providers benefit from the economies of scale?;Nephele: efficient parallel data processing in the cloud;scalable computing with parallel tasks;OddCI - on-demand distributed computing infrastructure;kestrel: an XMPP-based framework for many task computing applications;highly scalable genome assembly on campus grids;ensemble dispatching on an IBM Blue Gene/L for a bioinformatics knowledge environment;and many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation.
The proceedings contain 15 papers. The topics discussed include: dynamic resource-critical workflow scheduling in heterogeneous environments;decentralized grid scheduling with evolutionary fuzzy systems;analyzing the ...
ISBN:
(纸本)3642046320
The proceedings contain 15 papers. The topics discussed include: dynamic resource-critical workflow scheduling in heterogeneous environments;decentralized grid scheduling with evolutionary fuzzy systems;analyzing the EGEE production grid workload: application to jobs submission optimization;the resource usage aware backfilling;the gain of overbooking;modeling parallel system workloads with temporal locality;scheduling restartable jobs with short test runs;effects of topology-aware allocation policies on scheduling performance;contention-aware scheduling with task duplication;job admission and resource allocation in distributed streaming systems;scalability analysis of job scheduling using virtual nodes;competitive two-level adaptive scheduling using resource augmentation;and job scheduling with lookahead group matchmaking for time/space sharing on multi-core parallel machines.
The availability of large quantities of processors is a crucial enabler of many-task computing. Voluntary computing systems have proven that it is possible to build computing platforms with millions of nodes to suppor...
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Energy consumption is a critical issue in parallel and distributed embedded systems. We present a novel algorithm for energy efficient scheduling of Directed Acyclic Graph (DAG) based applications on Dynamic Voltage S...
详细信息
ISBN:
(纸本)9781424416936
Energy consumption is a critical issue in parallel and distributed embedded systems. We present a novel algorithm for energy efficient scheduling of Directed Acyclic Graph (DAG) based applications on Dynamic Voltage Scaling (DVS) enabled systems. Experimental results show that our algorithm provides near optimal solutions for energy minimization with considerably smaller computational time and memory requirements compared to an existing algorithm that provides near optimal solutions.
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