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  • 11
    UID:
    (DE-605)HT030687680
    Format: 1 Online-Ressource (XVI, 189 p. 78 illus., 70 illus. in color)
    Edition: 1st ed. 2024
    ISBN: 9789819703166
    Series Statement: Lecture Notes in Computer Science 14521
    Additional Edition: Printed edition 9789819703159
    Additional Edition: Printed edition 9789819703173
    Language: English
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  • 12
    UID:
    (DE-627)1881224279
    Format: 1 Online-Ressource(XVI, 189 p. 78 illus., 70 illus. in color.)
    Edition: 1st ed. 2024.
    ISBN: 9789819703166
    Series Statement: Lecture Notes in Computer Science 14521
    Content: ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education -- Generating High Dimensional Test Data for Topological Data Analysis -- Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields -- MolBench: A Benchmark of AI Models for Molecular Property Prediction -- Cross-Layer Profiling of IoTBench -- MMDBench: A Benchmark for Hybrid Query in Multimodal Database -- Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data -- A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads -- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis.
    Content: This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3–5, 2023. The 11 full papers included in this book were carefully reviewed and selected from 20 submissions. The Bench symposium invites papers that exhibit three defining characteristics: (1) It provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community; (2) It is a multi-disciplinary conference, attracting researchers and practitioners from different communities, including architecture, systems, algorithms, and applications; (3) The program features both invited and contributed talks.
    Additional Edition: 9789819703159
    Additional Edition: 9789819703173
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819703159
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819703173
    Language: English
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  • 13
    UID:
    (DE-602)b3kat_BV043309606
    Format: XLIII, 839 Seiten , Illustrationen
    Edition: 1st ed.
    ISBN: 9783319273082 , 9783319273075
    Series Statement: Lecture Notes in Computer Science 9523
    Language: English
    Keywords: Hochleistungsrechnen ; Parallelverarbeitung ; Cloud Computing ; Konferenzschrift
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  • 14
    UID:
    (DE-627)1751269280
    Format: 1 online resource (717 pages)
    ISBN: 9783662480960
    Series Statement: Lecture Notes in Computer Science Ser. v.9233
    Content: Intro -- Preface -- Organization -- Euro-Par 2015 Invited Talks -- Euro-Par 2015 Topics Overview -- Contents -- Invited Papers -- Concurrent Systems: Hybrid Object Implementations and Abortable Objects -- 1 Introduction -- 2 Computing Models, Objects, and Progress Conditions -- 2.1 Basic Read/Write Model and Enriched Models -- 2.2 Concurrent Objects -- 2.3 Progress Conditions for Object Operations -- 3 Hybrid Implementation of a Concurrent Object -- 3.1 The Notion of a Hybrid Implementation of a Concurrent Object -- 3.2 Example 1: Static Hybrid Implementation of a Set Object -- 3.3 Example 2: Dynamic Hybrid Implementation of a Double-Ended Queue -- 3.4 Example 3: Dynamic Hybrid Implementation of a Consensus Object -- 4 Abortable Concurrent Objects -- 4.1 The Notion of a Concurrent Abortable Object -- 4.2 Example: A Non-blocking Abortable Stack in ARWn,n-1[Compare& -- swap] -- 5 Conclusion -- References -- Runtime-Aware Architectures -- 1 Introduction and Motivation -- 2 Memory Wall -- 3 Power Wall -- 3.1 Exploiting Task Criticality -- 3.2 Vector Processors -- 4 Reliability Wall -- 5 Programmability Wall -- 6 Related Work -- 7 Conclusions -- References -- Support Tools and Environments -- MPI Thread-Level Checking for MPI+OpenMP Applications -- 1 Introduction -- 2 Related Work -- 3 Analysis of the Multithreaded Context -- 3.1 Parallelism Words Construction -- 3.2 Parallelism Words Analysis -- 4 Thread-Level Compliance Checking -- 4.1 Static Analysis and Interface to Dynamic Checkings -- 4.2 MPI_THREAD_SINGLE -- 4.3 MPI_THREAD_FUNNELED -- 4.4 MPI_THREAD_SERIALIZED -- 4.5 MPI_THREAD_MULTIPLE -- 5 Experimental Results -- 5.1 Functionnalities of the Analysis -- 5.2 Static Analysis Results -- 6 Conclusion and Future Work -- References -- Event-Action Mappings for Parallel Tools Infrastructures -- 1 Introduction -- 2 Related Work.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9783662480953
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783662480953
    Language: English
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  • 15
    UID:
    (DE-627)1657544362
    Format: Online-Ressource (XXXV, 703 p. 232 illus, online resource)
    Edition: 1st ed. 2015
    ISBN: 9783662480960
    Series Statement: Lecture Notes in Computer Science 9233
    Content: Concurrent Systems: Hybrid Object Implementations and Abortable Objects -- Runtime-Aware Architectures -- MPI Thread-Level Checking for MPI+OpenMP Applications -- Event-Action Mappings for Parallel Tools Infrastructures -- Low-Overhead Detection of Memory Access Patterns and Their Time Evolution -- Automatic On-line Detection of MPI Application Structure with Event Flow Graphs -- Online Automated Reliability Classification of Queueing Models for Streaming Processing Using Support Vector Machines -- A Duplicate-Free State-Space Model for Optimal Task Scheduling -- On the Heterogeneity Bias of Cost Matrices when Assessing Scheduling Algorithms -- Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-Core -- Moody Scheduling for Speculative Parallelization -- Allocating Jobs with Periodic Demands -- A Multi–Level Hypergraph Partitioning Algorithm Using Rough Set Clustering -- Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down -- Scheduling Tasks from Selfish Multi-tasks Agents -- Locality and Balance for Communication-Aware Thread Mapping in Multicore Systems -- Concurrent Priority Queues Are not Good Priority Schedulers -- Load Balancing Prioritized Tasks via Work-Stealing -- Optimizing Task Parallelism with Library-Semantics-Aware Compilation -- Data Layout Optimization for Portable Performance -- Automatic Data Layout Optimizations for GPUs -- Performance Impacts with Reliable Parallel File Systems at Exascale Level -- Rapid Tomographic Image Reconstruction via Large-Scale Parallelization -- Software consolidation as an efficient energy and cost Saving Solution for a SaaS/PaaS Cloud Model -- VMPlaceS A Generic Tool to Investigate and Compare VM Placement Algorithms -- A Connectivity Model for Agreement in Dynamic Systems -- DFEP: Distributed Funding-based Edge Partitioning -- PR-STM: Priority Rule Based Software Transactions on the GPU -- Leveraging MPI-3 Shared-Memory Extensions for Efficient PGAS Runtime Systems -- A Practical Transactional Memory Interface -- A Multicore Parallelization of Continuous Skyline Queries on Data Streams -- A Fast and Scalable Graph Coloring Algorithm for Multi-core and Many-core Architectures -- A Composable Deadlock-Free Approach to Object-Based Isolation -- Scalable Data-Driven PageRank: Algorithms, System Issues & Lessons Learned -- How Many Threads Will Be Too Many? On the Scalability of OpenMP Implementations -- Efficient Nested Dissection for Multicore Architectures -- Scheduling Trees of Malleable Tasks for Sparse Linear Algebra -- Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime -- Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling -- 10,000 Performance Models per Minute - Scalability of the UG4 Simulation Framework -- Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification -- Parallelization of an Advection-Diffusion Problem Arising in Edge Plasma Physics Using Hybrid MPI/OpenMP Programming -- Behavioral Non-Portability in Scientific Numeric Computing -- Fast Parallel Suffix Array on the GPU -- Effective Barrier Synchronization on Intel Xeon Phi Coprocessor -- High Performance Multi-GPU SpMV for Multi-component PDE-based Applications -- Accelerating Lattice Boltzmann Applications with OpenACC -- High-Performance and Scalable Design of MPI-3 RMA on Xeon Phi Clusters -- Improving Performance of Convolutional Neural Networks by Separable Filters on GPU -- Iterative Sparse Triangular Solves for Preconditioning -- Targeting the Parallella -- Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers -- Efficient Execution of Multiple CUDA Applications using Transparent Suspend, Resume and Migration.
    Content: This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.
    Note: Literaturangaben , Concurrent Systems: Hybrid Object Implementations and Abortable ObjectsRuntime-Aware Architectures -- MPI Thread-Level Checking for MPI+OpenMP Applications -- Event-Action Mappings for Parallel Tools Infrastructures -- Low-Overhead Detection of Memory Access Patterns and Their Time Evolution -- Automatic On-line Detection of MPI Application Structure with Event Flow Graphs -- Online Automated Reliability Classification of Queueing Models for Streaming Processing Using Support Vector Machines -- A Duplicate-Free State-Space Model for Optimal Task Scheduling -- On the Heterogeneity Bias of Cost Matrices when Assessing Scheduling Algorithms -- Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-Core -- Moody Scheduling for Speculative Parallelization -- Allocating Jobs with Periodic Demands -- A Multi-Level Hypergraph Partitioning Algorithm Using Rough Set Clustering -- Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down -- Scheduling Tasks from Selfish Multi-tasks Agents -- Locality and Balance for Communication-Aware Thread Mapping in Multicore Systems -- Concurrent Priority Queues Are not Good Priority Schedulers -- Load Balancing Prioritized Tasks via Work-Stealing -- Optimizing Task Parallelism with Library-Semantics-Aware Compilation -- Data Layout Optimization for Portable Performance -- Automatic Data Layout Optimizations for GPUs -- Performance Impacts with Reliable Parallel File Systems at Exascale Level -- Rapid Tomographic Image Reconstruction via Large-Scale Parallelization -- Software consolidation as an efficient energy and cost Saving Solution for a SaaS/PaaS Cloud Model -- VMPlaceS A Generic Tool to Investigate and Compare VM Placement Algorithms -- A Connectivity Model for Agreement in Dynamic Systems -- DFEP: Distributed Funding-based Edge Partitioning -- PR-STM: Priority Rule Based Software Transactions on the GPU -- Leveraging MPI-3 Shared-Memory Extensions for Efficient PGAS Runtime Systems -- A Practical Transactional Memory Interface -- A Multicore Parallelization of Continuous Skyline Queries on Data Streams -- A Fast and Scalable Graph Coloring Algorithm for Multi-core and Many-core Architectures -- A Composable Deadlock-Free Approach to Object-Based Isolation -- Scalable Data-Driven PageRank: Algorithms, System Issues & Lessons Learned -- How Many Threads Will Be Too Many? On the Scalability of OpenMP Implementations -- Efficient Nested Dissection for Multicore Architectures -- Scheduling Trees of Malleable Tasks for Sparse Linear Algebra -- Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime -- Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling -- 10,000 Performance Models per Minute - Scalability of the UG4 Simulation Framework -- Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification -- Parallelization of an Advection-Diffusion Problem Arising in Edge Plasma Physics Using Hybrid MPI/OpenMP Programming -- Behavioral Non-Portability in Scientific Numeric Computing -- Fast Parallel Suffix Array on the GPU -- Effective Barrier Synchronization on Intel Xeon Phi Coprocessor -- High Performance Multi-GPU SpMV for Multi-component PDE-based Applications -- Accelerating Lattice Boltzmann Applications with OpenACC -- High-Performance and Scalable Design of MPI-3 RMA on Xeon Phi Clusters -- Improving Performance of Convolutional Neural Networks by Separable Filters on GPU -- Iterative Sparse Triangular Solves for Preconditioning -- Targeting the Parallella -- Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers -- Efficient Execution of Multiple CUDA Applications using Transparent Suspend, Resume and Migration.
    Additional Edition: 9783662480953
    Additional Edition: Erscheint auch als Druck-Ausgabe Euro-par (21. : 2015 : Wien) Euro-Par 2015: parallel processing Berlin : Springer, 2015 3662480956
    Additional Edition: 9783662480953
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Parallelverarbeitung ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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  • 16
    UID:
    (DE-603)363013865
    Format: 1 Online-Ressource (XXXV, 703 Seiten) , 232 illus.
    Edition: 1st ed. 2015
    ISBN: 9783662480960 , 3662480964
    Series Statement: Theoretical Computer Science and General Issues 9233
    Additional Edition: Erscheint auch als Druck-Ausgabe Euro-Par 2015: Parallel Processing Berlin, Heidelberg : Springer Berlin Heidelberg, 2015 9783662480953
    Additional Edition: 9783662480953
    Additional Edition: 9783662480977
    Language: English
    Keywords: Konferenzschrift
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  • 17
    UID:
    (DE-605)HT018715953
    Format: XXXV, 703 p. 232 illus
    Edition: 1st ed. 2015
    ISBN: 9783662480960
    Series Statement: Lecture Notes in Computer Science 9233
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783662480953
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 18
    UID:
    (DE-627)1703324501
    ISSN: 1662-453X
    In: Frontiers in neuroscience, Lausanne : Frontiers Research Foundation, 2007, 14(2020) vom: 10. Juni, Artikel-ID 588, Seite 1-9, 1662-453X
    In: volume:14
    In: year:2020
    In: day:10
    In: month:06
    In: elocationid:588
    In: pages:1-9
    Language: English
    URL: Volltext  (kostenfrei)
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  • 19
    UID:
    (DE-627)1772138185
    ISSN: 2045-2322
    Content: Ocular current stimulation (oCS) with weak current intensities (a few mA) has shown positive effects on retinal nerve cells, which indicates that neurodegenerative ocular diseases could be treated with current stimulation of the eye. During oCS, a significant polarity-independent reduction in the characteristic P50 amplitude of a pattern-reversal electroretinogram was found, while no current stimulation effect was found for a full field electroretinogram (ffERG). The ffERG data indicated a trend for a polarity-dependent influence during oCS on the photopic negative response (PhNR) wave, which represents the sum activity of the retinal ganglion cells. Therefore, an ffERG with adjusted parameters for the standardized measurement of the PhNR wave was combined with simultaneous oCS to study the potential effects of direct oCS on cumulative ganglion cell activity. Compared with that measured before oCS, the PhNR amplitude in the cathodal group increased significantly during current stimulation, while in the anodal and sham groups, no effect was visible (α = 0.05, pcathodal = 0.006*). Furthermore, repeated-measures ANOVA revealed a significant difference in PhNR amplitude between the anodal and cathodal groups as well as between the cathodal and sham groups (p* ≤ 0.0167, pcathodal - anodal = 0.002*, pcathodal - sham = 0.011*).
    In: Scientific reports, [London] : Macmillan Publishers Limited, part of Springer Nature, 2011, 11(2021) vom: 2. Sept., Artikel-ID 17573, Seite 1-9, 2045-2322
    In: volume:11
    In: year:2021
    In: day:2
    In: month:09
    In: elocationid:17573
    In: pages:1-9
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 20
    UID:
    (DE-101)1257077775
    Format: Online-Ressource, 9 Seiten
    In: In: Scientific reports(11) - ISSN 2045-2322
    In: In: Macmillan Publishers Limited, part of Springer Nature, London
    Language: English
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