Euro-Par 2019: Parallel Processing

25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings

AvRamin Yahyapour

Häftad, Engelska, 2019

Del 11725 i serien Lecture Notes in Computer Science

813 kr

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Beskrivning

This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019. They deal with parallel and distributed computing in general, focusing on support tools and environments; theory and algorithms for parallel computation and networking;

Produktinformation

Utgivningsdatum:2019-08-13
Mått:155 x 235 x 30 mm
Vikt:826 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:524
Förlag:Springer Nature Switzerland AG
ISBN:9783030293994

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Innehållsförteckning

Online Fault Classification in HPC Systems through Machine Learning.- Accelerating Data-Dependence Profiling with Static Hints.- Multi-Valued Expression Analysis for Collective Checking.- Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring.- A Comparison of Random Task Graph Generation Methods for Scheduling Problems.- Code Region Characterization Using a Reduced Space of Hardware Counters.- Combining checkpointing and data compression to accelerate adjoint-based optimization problems.- Linear Time Algorithms for Multiple Cluster Scheduling and Multiple Strip Packing.- Scheduling on Two Unbounded Resources with Communication Costs.- Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation.- Contention-aware Task Scheduler for Concurrent Hierarchical Operations.- Load-Balancing for Parallel Delaunay Triangulations.- Design-Space Exploration with Multi-Objective Resource-Aware Modulo Scheduling.- Implementing YewPar: a Framework for Parallel Tree Search.- PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters.- Enhancing the Programmability and Performance Portability of GPU Tensor Operations.- Unified and Scalable Incremental Recommenders with Consumed Item Packs.- Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case.- Clustering as Approximation Method to Optimize Hydrological Simulations.- YOLO: Speeding up VM and Docker Boot Time by reducing I/O operations.- Celerity: High-level C++ for Accelerator Clusters.- Dataflow Execution of Hierarchically Tiled Arrays.- Scalable FIFO Channels for Programming via Communicating Sequential Processes.- TWA – Ticket Locks Augmented with a Waiting Array.- Enabling Resilience in Asynchronous Many-Task Programming Models.- Avoiding Scalability Collapse by Restricting Concurrency.- Graph Coloring using GPUs.- Featherlight Speculative Task Parallelism.- One Table to Count Them All: Parallel Frequency Estimation on Single-Board Computers.- Fine-grained MPI+OpenMP plasma simulations: communication overlap with dependent tasks.- Parallel Adaptive Sampling with almost no Synchronization.- Parallel Streaming Random Sampling.- Cholesky and Gram-Schmidt Orthogonalization for Tall-and-Skinny QR Factorizations on Graphic Processors.- Automatic exploration of reduced floating-point representations in iterative methods.- Linear Systems Solvers for Distributed Memory Machines with GPU Accelerators.- Radio-Astronomical Imaging: FPGAs vs GPUs.