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ORCIDKarl Fürlinger
Karl Fuerlinger
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- affiliation: Ludwig Maximilian University of Munich, MNM-Team, Germany
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2020 – today
- 2024
[c59]Marcel Quanz, Korbinian Staudacher, Karl Fürlinger:
Parallel Quantum Circuit Extraction from MBQC-Patterns. IPDPS (Workshops) 2024: 1078-1087- [e3]Demetris Zeinalipour
, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14351, Springer 2024, ISBN 978-3-031-50683-3 [contents] - [e2]Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14352, Springer 2024, ISBN 978-3-031-48802-3 [contents] - 2023
- [j11]Minh Thanh Chung, Josef Weidendorfer, Karl Fürlinger, Dieter Kranzlmüller:
From reactive to proactive load balancing for task-based parallel applications in distributed memory machines. Concurr. Comput. Pract. Exp. 35(24) (2023) - [j10]Thanh-Dang Diep, Phuong Hoai Ha, Karl Fürlinger:
A general approach for supporting nonblocking data structures on distributed-memory systems. J. Parallel Distributed Comput. 173: 48-60 (2023) - [c58]Sergej Breiter, James D. Trotter, Karl Fürlinger:
Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX. SC Workshops 2023: 1334-1342 - 2022
- [c57]Sergej Breiter, Josef Weidendorfer, Minh Thanh Chung, Karl Fürlinger:
A Profiling-Based Approach to Cache Partitioning of Program Data. PDCAT 2022: 453-463 - [c56]Minh Thanh Chung, Josef Weidendorfer, Karl Fürlinger, Dieter Kranzlmüller:
Proactive Task Offloading for Load Balancing in Iterative Applications. PPAM (1) 2022: 263-275 - 2021
- [j9]Pascal Jungblut, Karl Fürlinger:
Portable Node-Level Parallelism for the PGAS Model. Int. J. Parallel Program. 49(6): 867-885 (2021) - [c55]Thanh-Dang Diep, Karl Fürlinger:
Nonblocking Data Structures for Distributed-Memory Machines: Stacks as an Example. PDP 2021: 9-17 - 2020
- [c54]Minh Thanh Chung, Josef Weidendorfer, Philipp Samfass, Karl Fuerlinger, Dieter Kranzlmüller:
Scheduling across Multiple Applications using Task-Based Programming Models. IPDRM@SC 2020: 1-8 - [p3]Karl Fürlinger, José Gracia, Andreas Knüpfer, Tobias Fuchs, Denis Hünich, Pascal Jungblut, Roger Kowalewski, Joseph Schuchart:
DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space. Software for Exascale Computing 2020: 103-142
2010 – 2019
- 2019
- [j8]Verena Bauer, Karl Fürlinger, Göran Kauermann:
A note on parallel sampling in Markov graphs. Comput. Stat. 34(3): 1087-1107 (2019) - [j7]Thanh-Dang Diep, Kien Trung Pham, Karl Fürlinger, Nam Thoai:
A time-stamping system to detect memory consistency errors in MPI one-sided applications. Parallel Comput. 86: 36-44 (2019) - [c53]Roger Kowalewski, Pascal Jungblut, Karl Fürlinger:
Engineering a Distributed Histogram Sort. CLUSTER 2019: 1-11 - [c52]Nicco Mietzsch, Karl Fuerlinger:
Investigating Performance and Potential of the Parallel STL Using NAS Parallel Benchmark Kernels. HPCS 2019: 136-144 - 2018
- [c51]Karl Fürlinger, Roger Kowalewski, Tobias Fuchs, Benedikt Lehmann:
Investigating the performance and productivity of DASH using the Cowichan problems. HPC Asia Workshops 2018: 11-20 - [c50]Joseph Schuchart, Roger Kowalewski, Karl Fuerlinger:
Recent experiences in using MPI-3 RMA in the DASH PGAS runtime. HPC Asia Workshops 2018: 21-30 - [c49]Pascal Jungblut, Roger Kowalewski, Karl Fürlinger:
Source-to-Source Instrumentation for Profiling Runtime Behavior of C++ Containers. HPCC/SmartCity/DSS 2018: 948-953 - [c48]Karl Fuerlinger, Philip C. Roth:
Introduction to HIPS 2018. IPDPS Workshops 2018: 384-385 - [c47]Karl Fuerlinger:
ROME 2018 Invited Talk. IPDPS Workshops 2018: 1282 - [c46]Felix MoBbauer, Roger Kowalewski, Tobias Fuchs, Karl Fürlinger:
A Portable Multidimensional Coarray for C++. PDP 2018: 18-25 - [c45]Roger Kowalewski, Tobias Fuchs, Karl Fürlinger, Tobias Guggemos:
Utilizing Heterogeneous Memory Hierarchies in the PGAS Model. PDP 2018: 353-357 - [c44]Thanh-Dang Diep, Karl Fürlinger, Nam Thoai:
MC-CChecker: A Clock-Based Approach to Detect Memory Consistency Errors in MPI One-Sided Applications. EuroMPI 2018: 9:1-9:11 - 2017
- [j6]Didem Unat, Anshu Dubey, Torsten Hoefler, John Shalf, Mark James Abraham, Mauro Bianco, Bradford L. Chamberlain, Romain Cledat, H. Carter Edwards, Hal Finkel, Karl Fuerlinger, Frank Hannig, Emmanuel Jeannot, Amir Kamil, Jeff Keasler, Paul H. J. Kelly, Vitus J. Leung, Hatem Ltaief, Naoya Maruyama, Chris J. Newburn, Miquel Pericàs:
Trends in Data Locality Abstractions for HPC Systems. IEEE Trans. Parallel Distributed Syst. 28(10): 3007-3020 (2017) - [c43]Tobias Fuchs, Karl Fürlinger:
Runtime Support for Distributed Dynamic Locality. Euro-Par Workshops 2017: 167-178 - 2016
- [c42]Roger Kowalewski, Karl Fürlinger:
Nasty-MPI: Debugging Synchronization Errors in MPI-3 One-Sided Applications. Euro-Par 2016: 51-62 - [c41]Karl Fürlinger, Tobias Fuchs, Roger Kowalewski:
DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms. HPCC/SmartCity/DSS 2016: 983-990 - [c40]Tobias Fuchs, Karl Fürlinger:
A Multi-dimensional Distributed Array Abstraction for PGAS. HPCC/SmartCity/DSS 2016: 1061-1068 - [c39]Xavier Aguilar, Karl Fürlinger, Erwin Laure:
Online MPI Trace Compression Using Event Flow Graphs and Wavelets. ICCS 2016: 1497-1506 - [p2]Tobias Fuchs, Karl Fürlinger:
Expressing and Exploiting Multi-Dimensional Locality in DASH. Software for Exascale Computing 2016: 341-359 - [p1]Denis Hünich, Andreas Knüpfer, Sebastian Oeste, Karl Fürlinger, Tobias Fuchs:
Tool Support for Developing DASH Applications. Software for Exascale Computing 2016: 361-377 - [e1]Jesús Carretero, Javier García Blas, Victor Gergel, Vladimir V. Voevodin, Iosif B. Meyerov, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Pedro Alonso, Juan José Durillo, José Daniel García Sánchez, Alexey L. Lastovetsky, Fabrizio Marozzo, Qin Liu, Md. Zakirul Alam Bhuiyan, Karl Fürlinger, Josef Weidendorfer, José Gracia:
Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings. Lecture Notes in Computer Science 10049, Springer 2016, ISBN 978-3-319-49955-0 [contents] - [i2]Karl Fürlinger, Tobias Fuchs, Roger Kowalewski:
DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms. CoRR abs/1610.01482 (2016) - 2015
- [c38]Xavier Aguilar, Karl Fürlinger, Erwin Laure:
Automatic On-Line Detection of MPI Application Structure with Event Flow Graphs. Euro-Par 2015: 70-81 - [c37]Xavier Aguilar, Karl Fürlinger, Erwin Laure:
Visual MPI Performance Analysis using Event Flow Graphs. ICCS 2015: 1353-1362 - [c36]Lei Zhou, Karl Fürlinger:
DART-CUDA: A PGAS Runtime System for Multi-GPU Systems. ISPDC 2015: 110-119 - [i1]Huan Zhou, Yousri Mhedheb, Kamran Idrees, Colin W. Glass, José Gracia, Karl Fürlinger, Jie Tao:
DART-MPI: An MPI-based Implementation of a PGAS Runtime System. CoRR abs/1507.01773 (2015) - 2014
- [j5]Jiaqi Zhao, Jie Tao, Karl Fürlinger:
A framework for comparative performance study on virtualised machines. Int. J. Ad Hoc Ubiquitous Comput. 17(2/3): 82-99 (2014) - [c35]Xavier Aguilar, Karl Fürlinger, Erwin Laure:
MPI Trace Compression Using Event Flow Graphs. Euro-Par 2014: 1-12 - [c34]Karl Fürlinger, Colin W. Glass, José Gracia, Andreas Knüpfer, Jie Tao, Denis Hünich, Kamran Idrees, Matthias Maiterth, Yousri Mhedheb, Huan Zhou:
DASH: Data Structures and Algorithms with Support for Hierarchical Locality. Euro-Par Workshops (2) 2014: 542-552 - [c33]Huan Zhou, Yousri Mhedheb, Kamran Idrees, Colin W. Glass, José Gracia, Karl Fürlinger:
DART-MPI: An MPI-based Implementation of a PGAS Runtime System. PGAS 2014: 3:1-3:11 - 2013
- [c32]Bronis R. de Supinski, Bettina Krammer, Karl Fürlinger, Jesús Labarta, Dimitrios S. Nikolopoulos:
Topic 1: Support Tools and Environments - (Introduction). Euro-Par 2013: 3 - [c31]Xavier Aguilar, Erwin Laure, Karl Fürlinger:
Online Performance Introspection with IPM. HPCC/EUC 2013: 728-734 - 2012
- [c30]Simone Ferlin Oliveira, Karl Fürlinger, Dieter Kranzlmüller:
Trends in Computation, Communication and Storage and the Consequences for Data-intensive Science. HPCC-ICESS 2012: 572-579 - [c29]Jie Tao, Karl Fürlinger, Lizhe Wang, Holger Marten:
A Performance Study of Virtual Machines on Multicore Architectures. PDP 2012: 89-96 - 2011
- [c28]Orlando Rivera, Karl Fürlinger:
Parallel Aspects of OpenFOAM with Large Eddy Simulations. HPCC 2011: 389-396 - [c27]Orlando Rivera, Karl Fürlinger, Dieter Kranzlmüller:
Investigating the Scalability of OpenFOAM for the Solution of Transport Equations and Large Eddy Simulations. ICA3PP (2) 2011: 121-130 - [c26]Karl Fürlinger, Christof Klausecker, Dieter Kranzlmüller:
Towards Energy Efficient Parallel Computing on Consumer Electronic Devices. ICT-GLOW 2011: 1-9 - [c25]Karl Fürlinger, Nicholas J. Wright, David Skinner:
Comprehensive Performance Monitoring for GPU Cluster Systems. IPDPS Workshops 2011: 1377-1386 - [c24]Jie Tao, Karl Fürlinger, Holger Marten:
Performance Evaluation of OpenMP Applications on Virtualized Multicore Machines. IWOMP 2011: 138-150 - [r1]Karl Fürlinger:
OpenMP Profiling with OmpP. Encyclopedia of Parallel Computing 2011: 1371-1379 - 2010
- [j4]Karl Fürlinger, Shirley Moore:
Recording the control flow of parallel applications to determine iterative and phase-based behavior. Future Gener. Comput. Syst. 26(1): 162-166 (2010) - [j3]Hongzhang Shan, Filip Blagojevic, Seung-Jai Min, Paul Hargrove, Haoqiang Jin, Karl Fürlinger, Alice Koniges, Nicholas J. Wright:
A programming model performance study using the NAS parallel benchmarks. Sci. Program. 18(3-4): 153-167 (2010) - [c23]Karl Fürlinger, Nicholas J. Wright, David Skinner, Christof Klausecker, Dieter Kranzlmüller:
Effective Holistic Performance Measurement at Petascale Using IPM. CHPC 2010: 15-26 - [c22]Karl Fürlinger, Nicholas J. Wright, David Skinner:
Effective Performance Measurement at Petascale Using IPM. ICPADS 2010: 373-380 - [c21]Karl Fürlinger:
OpenMP application profiling - state of the art and directions for the future. ICCS 2010: 2107-2114
2000 – 2009
- 2009
- [j2]Karl Fürlinger, Shirley Moore:
Capturing and Analyzing the Execution Control Flow of OpenMP Applications. Int. J. Parallel Program. 37(3): 266-276 (2009) - [c20]Karl Fürlinger, David Skinner:
Capturing and Visualizing Event Flow Graphs of MPI Applications. Euro-Par Workshops 2009: 218-227 - [c19]Karl Fürlinger, David Skinner:
Performance Profiling for OpenMP Tasks. IWOMP 2009: 132-139 - [c18]Karl Fürlinger, Nicholas J. Wright, David Skinner:
Performance Analysis and Workload Characterization with IPM. Parallel Tools Workshop 2009: 31-38 - 2008
- [c17]Karl Fürlinger, Shirley Moore:
OpenMP-centric performance analysis of hybrid applications. CLUSTER 2008: 160-166 - [c16]Karl Fürlinger, Daniel Terpstra, Haihang You, Philip Mucci, Shirley Moore:
Enabling Data Structure Oriented Performance Analysis with Hardware Performance Counter Support. Euro-Par Workshops 2008: 263-272 - [c15]Karl Fürlinger, Shirley Moore:
Detection and Analysis of Iterative Behavior in Parallel Applications. ICCS (3) 2008: 261-267 - [c14]Karl Fürlinger, Shirley Moore:
Visualizing the Program Execution Control Flow of OpenMP Applications. IWOMP 2008: 181-190 - [c13]Felix Wolf, Brian J. N. Wylie, Erika Ábrahám, Daniel Becker, Wolfgang Frings, Karl Fürlinger, Markus Geimer, Marc-André Hermanns, Bernd Mohr, Shirley Moore, Matthias Pfeifer, Zoltán Szebenyi:
Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications. Parallel Tools Workshop 2008: 157-167 - 2007
- [j1]Michael Gerndt, Karl Fürlinger:
Specification and detection of performance problems with ASL. Concurr. Comput. Pract. Exp. 19(11): 1451-1464 (2007) - [c12]Karl Fürlinger, Michael Gerndt, Jack J. Dongarra:
On Using Incremental Profiling for the Performance Analysis of Shared Memory Parallel Applications. Euro-Par 2007: 62-71 - [c11]Karl Fürlinger, Michael Gerndt, Jack J. Dongarra:
Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors. International Conference on Computational Science (2) 2007: 815-822 - [c10]Karl Fürlinger, Shirley Moore:
Continuous Runtime Profiling of OpenMP Applications. PARCO 2007: 677-684 - 2006
- [b1]Karl Fürlinger:
Scalable automated online performance analysis of applications using performance properties. Technical University Munich, 2006, ISBN 978-3-8322-5459-9, pp. 1-110 - [c9]Karl Fürlinger, Michael Gerndt:
Finding Inefficiencies in OpenMP Applications Automatically with Periscope. International Conference on Computational Science (2) 2006: 494-501 - [c8]Karl Fürlinger, Michael Gerndt:
Automated Performance Analysis Using ASL Performance Properties. PARA 2006: 390-397 - [c7]Karl Fürlinger, Michael Gerndt:
Analyzing Overheads and Scalability Characteristics of OpenMP Applications. VECPAR 2006: 39-51 - 2005
- [c6]Karl Fürlinger, Michael Gerndt:
Performance Analysis of Shared-Memory Parallel Applications Using Performance Properties. HPCC 2005: 595-604 - [c5]Karl Fürlinger, Michael Gerndt:
: A Profiling Tool for OpenMP. IWOMP 2005: 15-23 - [c4]Michael Gerndt, Karl Fürlinger, Edmond Kereku:
Periscope: Advanced Techniques for Performance Analysis. PARCO 2005: 15-26 - 2004
- [c3]Karl Fürlinger, Olaf Schenk, Michael Hagemann:
Task-Queue Based Hybrid Parallelism: A Case Study. Euro-Par 2004: 624-631 - 2003
- [c2]Karl Fürlinger, Michael Gerndt:
Distributed Application Monitoring for Clustered SMP Architectures. Euro-Par 2003: 127-134 - [c1]Karl Fürlinger, Michael Gerndt:
Distributed Configurable Application Monitoring on SMP Clusters. PVM/MPI 2003: 429-437
Coauthor Index
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