Johannes Doerfert

According to our database, Johannes Doerfert authored at least 56 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs.

John R. Tramm, Paul K. Romano, Patrick C. Shriwise, Amanda Lund, Johannes Doerfert, Patrick Steinbrecher, Andrew R. Siegel, Gavin Ridley

CoRR, 2024

2023

Quantum Task Offloading with the OpenMP API.

Joseph K. L. Lee, Oliver T. Brown, Mark Bull, Martin Ruefenacht, Johannes Doerfert, Michael Klemm, Martin Schulz

CoRR, 2023

ComPile: A Large IR Dataset from Production Sources.

Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert

CoRR, 2023

GPU First - Execution of Legacy CPU Codes on GPUs.

Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert

CoRR, 2023

OpenMP Kernel Language Extensions for Performance Portable GPU Codes.

Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Precision and Performance Analysis of C Standard Math Library Functions on GPUs.

Anton Rydahl, Joseph Huber, Ethan Luis Mcdonough, Johannes Doerfert

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Memory Transfer Decomposition: Exploring Smart Data Movement Through Architecture-Aware Strategies.

Diego A. Roa Perdomo, Rodrigo Ceccato, Rémy Neveu, Hervé Yviquel, Xiaoming Li, Jose Manuel Monsalve Diaz, Johannes Doerfert

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay.

Konstantinos Parasyris, Giorgis Georgakoudis, Esteban Rangel, Ignacio Laguna, Johannes Doerfert

Proceedings of the International Conference for High Performance Computing, 2023

High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs.

William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Exploring the Limits of Generic Code Execution on GPUs via Direct (OpenMP) Offload.

Shilei Tian, Barbara M. Chapman, Johannes Doerfert

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

The Kokkos OpenMPTarget Backend: Implementation and Lessons Learned.

Rahulkumar Gayatri, Stephen L. Olivier, Christian R. Trott, Johannes Doerfert, Jan Ciesko, Damien Lebrun-Grandié

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

Maximizing Parallelism and GPU Utilization For Direct GPU Compilation Through Ensemble Execution.

Shilei Tian, Barbara M. Chapman, Johannes Doerfert

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Implementing OpenMP's SIMD Directive in LLVM's GPU Runtime.

Eric Wright, Johannes Doerfert, Shilei Tian, Barbara M. Chapman, Sunita Chandrasekaran

Proceedings of the 52nd International Conference on Parallel Processing, 2023

ORAQL - Optimistic Responses to Alias Queries in LLVM.

Jan Hückelheim, Johannes Doerfert

Proceedings of the 52nd International Conference on Parallel Processing, 2023

SPLENDID: Supporting Parallel LLVM-IR Enhanced Natural Decompilation for Interactive Development.

Zujun Tan, Yebin Chon, Michael Kruse, Johannes Doerfert, Ziyang Xu, Brian Homerding, Simone Campanoni, David I. August

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

OpenMP application experiences: Porting to accelerated nodes.

Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung

Parallel Comput., 2022

MARTINI: The Little Match and Replace Tool for Automatic Code Rewriting.

Alister Johnson, Camille Coti, Allen D. Malony, Johannes Doerfert

J. Open Source Softw., 2022

Remote OpenMP Offloading.

Atmn Patel, Johannes Doerfert

Proceedings of the High Performance Computing - 37th International Conference, 2022

Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation.

William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance.

Konstantinos Parasyris, Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism.

Shilei Tian, Joseph Huber, Konstantinos Parasyris, Barbara M. Chapman, Johannes Doerfert

Proceedings of the Eighth IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, 2022

Automatic Asynchronous Execution of Synchronously Offloaded OpenMP Target Regions.

Rafael A. Herrera Guaitero, Jose Manuel Monsalve Diaz, Thomas Applencourt, Xiaoming Li, Johannes Doerfert

Proceedings of the Eighth IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, 2022

Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading.

Shilei Tian, Joseph Huber, John R. Tramm, Barbara M. Chapman, Johannes Doerfert

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

Towards Automatic OpenMP-Aware Utilization of Fast GPU Memory.

Delaram Talaashrafi, Marc Moreno Maza, Johannes Doerfert

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

Towards Efficient Remote OpenMP Offloading.

Wenbin Lu, Baodi Shan, Eric Raut, Jie Meng, Mauricio Araya-Polo, Johannes Doerfert, Abid Muslim Malik, Barbara M. Chapman

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

Co-Designing an OpenMP GPU Runtime and Optimizations for Near-Zero Overhead Execution.

Johannes Doerfert, Atmn Patel, Joseph Huber, Shilei Tian, Jose Manuel Monsalve Diaz, Barbara M. Chapman, Giorgis Georgakoudis

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

A Pipeline Pattern Detection Technique in Polly.

Delaram Talaashrafi, Johannes Doerfert, Marc Moreno Maza

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples.

Alister Johnson, Camille Coti, Allen D. Malony, Johannes Doerfert

Proceedings of the Euro-Par 2022: Parallel Processing, 2022

Efficient Execution of OpenMP on GPUs.

Joseph Huber, Melanie Cornelius, Giorgis Georgakoudis, Shilei Tian, Jose Manuel Monsalve Diaz, Kuter Dinel, Barbara M. Chapman, Johannes Doerfert

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer.

Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis, Thomas Scogland, Konstantinos Parasyris

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme.

William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert

Proceedings of the International Conference for High Performance Computing, 2021

Experience Report: Writing a Portable GPU Runtime with OpenMP 5.1.

Shilei Tian, Jon Chesterfield, Johannes Doerfert, Barbara M. Chapman

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation.

Joseph Huber, Weile Wei, Giorgis Georgakoudis, Johannes Doerfert, Oscar R. Hernandez

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II).

Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I).

Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

Spray: Sparse Reductions of Arrays in OPENMP.

Jan Hückelheim, Johannes Doerfert

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

A Virtual GPU as Developer-Friendly OpenMP Offload Target.

Atmn Patel, Shilei Tian, Johannes Doerfert, Barbara M. Chapman

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Towards Compile-Time-Reducing Compiler Optimization Selection via Machine Learning.

Tarindu Jayatilaka, Hideto Ueno, Giorgis Georgakoudis, Eunjung Park, Johannes Doerfert

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Advancing OpenMP Offload Debugging Capabilities in LLVM.

Johannes Doerfert, Joseph Huber, Melanie Cornelius

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

2020

Really Embedding Domain-Specific Languages into C++.

Hal Finkel, Alexander J. McCaskey, Tobi Popoola, Dmitry I. Lyakh, Johannes Doerfert

CoRR, 2020

Concurrent Execution of Deferred OpenMP Target Tasks with Hidden Helper Threads.

Shilei Tian, Johannes Doerfert, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2020

FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis.

Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland

Proceedings of the OpenMP: Portable Multi-Level Parallelism on Modern Systems, 2020

Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation.

Alexander Matz, Johannes Doerfert, Holger Fröning

Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

2019

Performance Exploration Through Optimistic Static Program Annotations.

Johannes Doerfert, Brian Homerding, Hal Finkel

Proceedings of the High Performance Computing - 34th International Conference, 2019

The TRegion Interface and Compiler Optimizations for OpenMP Target Regions.

Johannes Doerfert, Jose Manuel Monsalve Diaz, Hal Finkel

Proceedings of the OpenMP: Conquering the Full Hardware Spectrum, 2019

2018

Applicable and sound polyhedral optimization of low-level programs.

Johannes Doerfert

PhD thesis, 2018

Compiler Optimizations for Parallel Programs.

Johannes Doerfert, Hal Finkel

Proceedings of the Languages and Compilers for Parallel Computing, 2018

Compiler Optimizations for OpenMP.

Johannes Doerfert, Hal Finkel

Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

Polyhedral expression propagation.

Johannes Doerfert, Shrey Sharma, Sebastian Hack

Proceedings of the 27th International Conference on Compiler Construction, 2018

2017

Optimistic loop optimization.

Johannes Doerfert, Tobias Grosser, Sebastian Hack

Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

2016

Input space splitting for OpenCL.

Simon Moll, Johannes Doerfert, Sebastian Hack

Proceedings of the 25th International Conference on Compiler Construction, 2016

2015

Generalized Task Parallelism.

Kevin Streit, Johannes Doerfert, Clemens Hammacher, Andreas Zeller, Sebastian Hack

ACM Trans. Archit. Code Optim., 2015

Polly's Polyhedral Scheduling in the Presence of Reductions.

Johannes Doerfert, Kevin Streit, Sebastian Hack, Zino Benaissa

CoRR, 2015

Runtime pointer disambiguation.

Péricles Alves, Fabian Gruber, Johannes Doerfert, Alexandros Lamprineas, Tobias Grosser, Fabrice Rastello, Fernando Magno Quintão Pereira

Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, 2015

2014

Architecture-parametric timing analysis.

Jan Reineke, Johannes Doerfert

Proceedings of the 20th IEEE Real-Time and Embedded Technology and Applications Symposium, 2014

2013

Impact of Resource Sharing on Performance and Performance Prediction: A Survey.

Andreas Abel, Florian Benz, Johannes Doerfert, Barbara Dörr, Sebastian Hahn, Florian Haupenthal, Michael Jacobs, Amir H. Moin, Jan Reineke, Bernhard Schommer, Reinhard Wilhelm

Proceedings of the CONCUR 2013 - Concurrency Theory - 24th International Conference, 2013