High Performance Computing: 4th Latin American Conference

High Performance Computing: 4th Latin American Conference, CARLA 2017, Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, September 20-22, … in Computer and Information Science)

This book constitutes the proceedings of the 4th Latin American Conference on High Performance Computing, CARLA 2017, held in Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, in September 2017.

The 29 papers presented in this volume were carefully reviewed and selected from 50 submissions. They are organized in topical sections named: HPC infrastructures and datacenters; HPC industry and education; GPU, multicores, accelerators; HPC applications and tools; big data and data management; parallel and distributed algorithms; Grid, cloud and federations.

Table of Contents

Chapter 1. A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems
Chapter 2. Power Consumption Characterization of Synthetic Benchmarks in Multicores
Chapter 3. Initial Experiences from TUPAC Supercomputer
Chapter 4. romeoLAB: A High Performance Training Platform for HPC, GPU and DeepLearning
Chapter 5. Analysis and Characterization of GPU Benchmarks for Kernel Concurrency Efficiency
Chapter 6. Parallel Batch Self-Organizing Map on Graphics Processing Unit Using CUDA
Chapter 7. Performance Prediction of Acoustic Wave Numerical Kernel on Intel Xeon Phi Processor
Chapter 8. Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations
Chapter 9. Benchmarking Performance: Influence of Task Location on Cluster Throughput
Chapter 10. PRIMULA: A Framework Based on Finite Elements to Address Multi Scale and Multi Physics Problems
Chapter 11. FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC
Chapter 12. AccaSim: An HPC Simulator for Workload Management
Chapter 13. SherlockFog: Finding Opportunities for MPI Applications in Fog and Edge Computing
Chapter 14. IoT Workload Distribution Impact Between Edge and Cloud Computing in a Smart Grid Application
Chapter 15. Model-R: A Framework for Scalable and Reproducible Ecological Niche Modeling
Chapter 16. Task Scheduling for Processing Big Graphs in Heterogeneous Commodity Clusters
Chapter 17. Exploring Application-Level Message-Logging in Scalable HPC Programs
Chapter 18. Accelerated Numerical Optimization with Explicit Consideration of Model Constraints
Chapter 19. Parallel Processing of Intra-cranial Electroencephalogram Readings on Distributed Memory Systems
Chapter 20. Support Vector Machine Acceleration for Intel Xeon Phi Manycore Processors
Chapter 21. Performance Improvements of a Parallel Multithreading Self-gravity Algorithm
Chapter 22. A Fast GPU Convolution/Superposition Method for Radiotherapy Dose Calculation
Chapter 23. Eeny Meeny Miny Moe: Choosing the Fault Tolerance Technique for my Cloud Workflow
Chapter 24. Energy Aware Multiobjective Scheduling in a Federation of Heterogeneous Datacenters
Chapter 25. Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud
Chapter 26. Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS
Chapter 27. Bi-objective Heterogeneous Consolidation in Cloud Computing
Chapter 28. Scaling the Deployment of Virtual Machines in UnaCloud
Chapter 29. Distributed Cosmic Ray Detection Using Cloud Computing