Euro Par 2019 Parallel Processing 25th International Conference on Parallel and Distributed Computing Göttingen Germany August 26 30 2019 Proceedings Ramin Yahyapour 3030294005 9783030294007

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Product details:

• ISBN 10: 3030294005
• ISBN 13: 9783030294007
• Author: Ramin Yahyapour

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. The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator computing; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities.

Table of contents:

Online Fault Classification in HPC Systems Through Machine Learning
Accelerating Data-Dependence Profiling with Static Hints
Multi-valued Expression Analysis for Collective Checking
Performance and Power Modeling, Prediction and Evaluation
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring
A Comparison of Random Task Graph Generation Methods for Scheduling Problems
Hardware Counters’ Space Reduction for Code Region Characterization
Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems
Scheduling and Load Balancing
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
Toggle: 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
Data Management, Analytics and Deep Learning
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
Cluster and Cloud Computing
YOLO: Speeding Up VM and Docker Boot Time by Reducing I/O Operations
Parallel and Distributed Programming, Interfaces, and Languages
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
Multicore and Manycore Parallelism
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
Theory and Algorithms for Parallel Computation and Networking
Parallel Streaming Random Sampling
Parallel Numerical Methods and Applications
Cholesky and Gram-Schmidt Orthogonalization for Tall-and-Skinny QR Factorizations on Graphics Processors
Automatic Exploration of Reduced Floating-Point Representations in Iterative Methods
Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators
Accelerator Computing
Radio-Astronomical Imaging: FPGAs vs GPUs

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