Philipp Gschwandtner

Orcid: 0000-0002-7774-0344

According to our database1, Philipp Gschwandtner authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024

2023
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023


An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Multi-GPU room response simulation with hardware raytracing.
Concurr. Comput. Pract. Exp., 2022

2021
The cluster coffer: Teaching HPC on the road.
J. Parallel Distributed Comput., 2021

Porting Real-World Applications to GPU Clusters: A Celerity and Cronos Case Study.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
The allscale framework architecture.
Parallel Comput., 2020

AllScale toolchain pilot applications: PDE based solvers using a parallel development environment.
Comput. Phys. Commun., 2020

AllScale API.
Comput. Informatics, 2020

2019
Multi-Objective region-Aware optimization of parallel programs.
Parallel Comput., 2019

2018
Dataset for "The AllScale Runtime Application Model" publication.
Dataset, July, 2018

A taxonomy of task-based parallel programming technologies for high-performance computing.
J. Supercomput., 2018

Exploring the semantic gap in compiling embedded DSLs.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

TOEP: Threshold Oriented Energy Prediction Mechanism for MPI-OpenMP Hybrid Applications.
Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018

The AllScale Runtime Application Model.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
A Taxonomy of Task-Based Technologies for High-Performance Computing.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

A Region-Aware Multi-Objective Auto-Tuner for Parallel Programs.
Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

2015
On the potential of significance-driven execution for energy-aware HPC.
Comput. Sci. Res. Dev., 2015

On the Quality of Implementation of the C++11 Thread Support Library.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Energy Prediction of OpenMP Applications Using Random Forest Modeling Approach.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014
Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Multi-Objective Auto-Tuning with Insieme: Optimization and Trade-Off Analysis for Time, Energy and Resource Usage.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

2012
A multi-objective auto-tuning framework for parallel codes.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Low-Latency Collectives for the Intel SCC.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011
Performance Analysis and Benchmarking of the Intel SCC.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2009
Why Is This Web Page Coming Up so Slow? Investigating the Loss of SYN Packets.
Proceedings of the NETWORKING 2009, 2009


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