Part I Challenges of Modern HPC Systems: Performance and Energy Efficiency Analysis
Feasibility study of future HPC systems for memory-intensive applications: Hiroaki Kobayashi
Analysing the Performance Improvements of Optimizations on Modern HPC Systems: Kazuhiko Komatsu, Toshihide Sasaki, Ryusuke Egawa, Hiroyuki Takizawa and Hiroaki Kobayashi
Power consumption of kernel operations: Dmitry Khabi and Uwe Küster
Part II Frameworks and Libraries for Simulations on New-Generation Computing Systems
Lattice Boltzmann Simulations On Complex Geometries: Simon Zimny, Kannan Masilamani, Kartik Jain and Sabine Roller
IMD – A Typical Massively Parallel Molecular Dynamics Code for Classical Simulations – Structure, Applications, Latest Developments: Johannes Roth
Evaluation of FastFlow Technology for Real-World Application: Kamran Idrees, Mathias Nachtmann, Colin W. Glass
Storage and indexing of fine grain, large scale data sets: Ralf Schneider
Part III Computational Engineering Applications and Multi-Physics Simulations
Direct Numerical Simulations of Film Cooling in a Supersonic Boundary-Layer Flow on Massively-Parallel Supercomputers: Michael Keller and Markus J. Kloker
Large scale numerics uncovering new states of matter: A. Moreno, J. M. P. Carmelo, and A. Muramatsu
Towards Simulation of Electrodialytic Sea Water Desalination: Kannan Masilamni, Jens Zudrop and Sabine Roller
A regional climate model simulation for EURO- CORDEX with the WRF model: Kirsten Warrach-Sagi, Thomas Schwitalla, Hans-Stefan Bauer, Volker-Wulfmeyer.
Part I Challenges of Modern HPC Systems: Performance and Energy Efficiency Analysis
Feasibility study of future HPC systems for memory-intensive applications: Hiroaki Kobayashi
Analysing the Performance Improvements of Optimizations on Modern HPC Systems: Kazuhiko Komatsu, Toshihide Sasaki, Ryusuke Egawa, Hiroyuki Takizawa and Hiroaki Kobayashi
Juan Gonzalez, Judit Gimenez, and Jesus Labarta: Performance Analytics: Understanding Parallel Applications Using Cluster and Sequence Analysis
Mahesh Lagadapati, Frank Mueller, and Christian Engelmann: Tools for Simulation and Benchmark Generation at Exascale
Dirk Schmidl, Christian Terboven, Dieter an Mey, and Matthias S. Müller: Suitability of Performance Tools for OpenMP Task-parallel Programs
Yury Oleynik, Robert Mijaković, Isaías A. Comprés Ure˜na, Michael Firbach, and Michael Gerndt: Recent Advances in Periscope for Performance Analysis and Tuning
Xingfu Wu, Valerie Taylor, Charles Lively, Hung-Ching Chang, Bo Li, Kirk Cameron, Dan Terpstra, and Shirley Moore: MuMMI: Multiple Metrics Modeling Infrastructure
Thomas M. Baumann and José Gracia: Cudagrind: Memory-Usage Checking for CUDA
Trevor E. Carlson, Wim Heirman, Kenzo Van Craeynest, Lieven Eeckhout: Node Performance and Energy Analysis with the Sniper Multi-Core Simulator
Alvaro Aguilera, Holger Mickler, Julian Kunkel, Michaela Zimmer, Marc Wiedemann, Ralph Müller-Pfefferkorn: A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project
Zakaria Bendifallah, William Jalby, José Noudohouenou, Emmanuel Oseret, and Vincent Palomares: PAMDA: Performance Assessment using MAQAO Toolset and Differential Analysis
Juan Gonzalez, Judit Gimenez, and Jesus Labarta: Performance Analytics: Understanding Parallel Applications Using Cluster and Sequence Analysis
Mahesh Lagadapati, Frank Mueller, and Christian Engelmann: Tools for Simulation and Benchmark Generation at Exascale
Dirk Schmidl, Christian Terboven, Dieter an Mey, and Matthias S. Müller: Suitability of Performance Tools for OpenMP Task-parallel Programs
Ilya Zhukov, Christian Feld, Markus Geimer, Michael Knobloch, Bernd Mohr and Pavel Saviankou: Scalasca v2: Back To The Future
Christopher January, Jonathan Byrd, Xavier Oró, and Mark O’Connor: Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead
Zhen Li, Rohit Atre, Zia Ul-Huda, Ali Jannesari, and Felix Wolf: DiscoPoP: A Profiling Tool to Identify Parallelization Opportunities
Vladimir Subotic, Arturo Campos, Alejandro Velasco, Eduard Ayguade, Jesus Labarta, and Mateo Valero: Tareador: The Unbearable Lightness of Exploring Parallelism
Isaías A. Comprés Ureña, and Michael Gerndt: Tuning Plugin Development for the Periscope Tuning Framework
Thomas Ilsche, Joseph Schuchart, Robert Schöne and Daniel Hackenberg: Combining Instrumentation and Sampling for Trace-based Application Performance Analysis
Damien Dosimont, Youenn Corre, Lucas Mello Schnorr, Guillaume Huard and Jean-Marc Vincent: Ocelotl: Large Trace Overviews Based on Multidimensional Data Aggregation
Felix Schmitt, Robert Dietrich and Jonas Stolle: Integrating Critical-Blame Analysis for Heterogeneous Applications into the Score-P Workflow
Germán Llort, Harald Servat, Juan Gonzalez, Judit Gimenez and Jesús Labarta: Studying Performance Changes with Tracking Analysis
Martin Schulz, Abhinav Bhatele, David Böhme1, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez and Kate Isaacs: A Flexible Data Model to Support Multi-Domain Performance Analysis
Ilya Zhukov, Christian Feld, Markus Geimer, Michael Knobloch, Bernd Mohr and Pavel Saviankou: Scalasca v2: Back To The Future
Christopher January, Jonathan Byrd, Xavier Oró, and Mark O’Connor: Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead
Zhen Li, Rohit Atre, Zia Ul-Huda, Ali Jannesari, and Felix Wolf: DiscoPoP: A Profiling Tool to Identify Parallelization Opportunities
ＥＢ
