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Johannes Doerfert
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- affiliation: Lawrence Livermore National Laboratory, CA, USA
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2020 – today
- 2024
- [c49]Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran:
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. IWOMP 2024: 111-125 - [c48]Ivan R. Ivanov
, Jens Domke
Automatic Parallelization and OpenMP Offloading of Fortran Array Notation. IWOMP 2024: 197-209 - [i11]John R. Tramm
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs. CoRR abs/2403.12345 (2024) - [i10]Ivan R. Ivanov, Joachim Meyer, Aiden Grossman, William S. Moses, Johannes Doerfert:
Input-Gen: Guided Generation of Stateful Inputs for Testing, Tuning, and Training. CoRR abs/2406.08843 (2024) - [i9]Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran:
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. CoRR abs/2408.11777 (2024) - 2023
- [c47]Zujun Tan, Yebin Chon, Michael Kruse, Johannes Doerfert, Ziyang Xu
SPLENDID: Supporting Parallel LLVM-IR Enhanced Natural Decompilation for Interactive Development. ASPLOS (3) 2023: 679-693 - [c46]Eric Wright
Implementing OpenMP's SIMD Directive in LLVM's GPU Runtime. ICPP 2023: 173-182 - [c45]Jan Hückelheim
ORAQL - Optimistic Responses to Alias Queries in LLVM. ICPP 2023: 655-664 - [c44]Shilei Tian
Maximizing Parallelism and GPU Utilization For Direct GPU Compilation Through Ensemble Execution. ICPP Workshops 2023: 112-118 - [c43]Rahulkumar Gayatri, Stephen L. Olivier
The Kokkos OpenMPTarget Backend: Implementation and Lessons Learned. IWOMP 2023: 99-113 - [c42]Shilei Tian
Exploring the Limits of Generic Code Execution on GPUs via Direct (OpenMP) Offload. IWOMP 2023: 179-192 - [c41]William S. Moses, Ivan R. Ivanov
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. PPoPP 2023: 119-134 - [c40]Konstantinos Parasyris
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC 2023: 28:1-28:14 - [c39]Shilei Tian
OpenMP Kernel Language Extensions for Performance Portable GPU Codes. SC Workshops 2023: 875-883 - [c38]Anton Rydahl
Precision and Performance Analysis of C Standard Math Library Functions on GPUs. SC Workshops 2023: 892-903 - [c37]Diego A. Roa Perdomo
Memory Transfer Decomposition: Exploring Smart Data Movement Through Architecture-Aware Strategies. SC Workshops 2023: 1958-1967 - [i8]Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert:
GPU First - Execution of Legacy CPU Codes on GPUs. CoRR abs/2306.11686 (2023) - [i7]Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert:
ComPile: A Large IR Dataset from Production Sources. CoRR abs/2309.15432 (2023) - [i6]Joseph K. L. Lee, Oliver T. Brown, Mark Bull, Martin Ruefenacht, Johannes Doerfert, Michael Klemm, Martin Schulz
Quantum Task Offloading with the OpenMP API. CoRR abs/2311.03210 (2023) - 2022
- [j3]Alister Johnson
MARTINI: The Little Match and Replace Tool for Automatic Code Rewriting. J. Open Source Softw. 7(77): 4590 (2022) - [j2]Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - [c36]Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis
Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. PACT 2022: 494-504 - [c35]Joseph Huber, Melanie Cornelius, Giorgis Georgakoudis
Efficient Execution of OpenMP on GPUs. CGO 2022: 41-52 - [c34]Alister Johnson, Camille Coti, Allen D. Malony, Johannes Doerfert
MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples. Euro-Par 2022: 19-34 - [c33]Delaram Talaashrafi, Johannes Doerfert, Marc Moreno Maza:
A Pipeline Pattern Detection Technique in Polly. ICPP Workshops 2022: 18:1-18:10 - [c32]Johannes Doerfert, Atmn Patel
Co-Designing an OpenMP GPU Runtime and Optimizations for Near-Zero Overhead Execution. IPDPS 2022: 504-514 - [c31]Wenbin Lu, Baodi Shan
Towards Efficient Remote OpenMP Offloading. IWOMP 2022: 17-31 - [c30]Delaram Talaashrafi
Towards Automatic OpenMP-Aware Utilization of Fast GPU Memory. IWOMP 2022: 67-80 - [c29]Shilei Tian
Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading. IWOMP 2022: 145-158 - [c28]Rafael A. Herrera Guaitero, Jose Manuel Monsalve Diaz, Thomas Applencourt, Xiaoming Li, Johannes Doerfert:
Automatic Asynchronous Execution of Synchronously Offloaded OpenMP Target Regions. LLVM-HPC@SC 2022: 23-33 - [c27]Shilei Tian
Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism. LLVM-HPC@SC 2022: 43-51 - [c26]Konstantinos Parasyris, Giorgis Georgakoudis
Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. P3HPC@SC 2022: 100-110 - [c25]Atmn Patel
Remote OpenMP offloading. PPoPP 2022: 441-442 - [c24]William S. Moses, Sri Hari Krishna Narayanan
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. SC 2022: 60:1-60:18 - [c23]Atmn Patel
Remote OpenMP Offloading. ISC 2022: 315-333 - [i5]William S. Moses, Ivan R. Ivanov
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. CoRR abs/2207.00257 (2022) - 2021
- [c22]Johannes Doerfert, Joseph Huber, Melanie Cornelius:
Advancing OpenMP Offload Debugging Capabilities in LLVM. ICPP Workshops 2021: 20:1-20:8 - [c21]Tarindu Jayatilaka, Hideto Ueno, Giorgis Georgakoudis
Towards Compile-Time-Reducing Compiler Optimization Selection via Machine Learning. ICPP Workshops 2021: 23:1-23:6 - [c20]Atmn Patel, Shilei Tian
A Virtual GPU as Developer-Friendly OpenMP Offload Target. ICPP Workshops 2021: 24:1-24:7 - [c19]Jan Hückelheim
Spray: Sparse Reductions of Arrays in OPENMP. IPDPS 2021: 475-484 - [c18]Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). IWOMP 2021: 67-80 - [c17]Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). IWOMP 2021: 81-95 - [c16]Joseph Huber, Weile Wei, Giorgis Georgakoudis
A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation. IWOMP 2021: 142-155 - [c15]Shilei Tian
Experience Report: Writing a Portable GPU Runtime with OpenMP 5.1. IWOMP 2021: 159-169 - [c14]William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim
Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme. SC 2021: 61 - [i4]Shilei Tian, Jon Chesterfield, Johannes Doerfert, Barbara M. Chapman:
Experience Report: Writing A Portable GPU Runtime with OpenMP 5.1. CoRR abs/2106.03219 (2021) - [i3]Joseph Huber, Weile Wei, Giorgis Georgakoudis, Johannes Doerfert, Oscar R. Hernandez:
A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation. CoRR abs/2106.14332 (2021) - 2020
- [c13]Alexander Matz, Johannes Doerfert
Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation. ICPP Workshops 2020: 13:1-13:10 - [c12]Giorgis Georgakoudis
FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis. IWOMP 2020: 3-17 - [c11]Shilei Tian
Concurrent Execution of Deferred OpenMP Target Tasks with Hidden Helper Threads. LCPC 2020: 41-56 - [i2]Hal Finkel, Alexander J. McCaskey, Tobi Popoola, Dmitry I. Lyakh, Johannes Doerfert:
Really Embedding Domain-Specific Languages into C++. CoRR abs/2010.08439 (2020)
2010 – 2019
- 2019
- [c10]Johannes Doerfert
The TRegion Interface and Compiler Optimizations for OpenMP Target Regions. IWOMP 2019: 153-167 - [c9]Johannes Doerfert
Performance Exploration Through Optimistic Static Program Annotations. ISC 2019: 247-268 - 2018
- [b1]Johannes Doerfert:
Applicable and sound polyhedral optimization of low-level programs. Saarland University, Saarbrücken, Germany, 2018 - [c8]Johannes Doerfert
Polyhedral expression propagation. CC 2018: 25-36 - [c7]Johannes Doerfert
Compiler Optimizations for OpenMP. IWOMP 2018: 113-127 - [c6]Johannes Doerfert
Compiler Optimizations for Parallel Programs. LCPC 2018: 112-119 - 2017
- [c5]Johannes Doerfert, Tobias Grosser, Sebastian Hack:
Optimistic loop optimization. CGO 2017: 292-304 - 2016
- [c4]Simon Moll, Johannes Doerfert
Input space splitting for OpenCL. CC 2016: 251-260 - 2015
- [j1]Kevin Streit, Johannes Doerfert
Generalized Task Parallelism. ACM Trans. Archit. Code Optim. 12(1): 8:1-8:25 (2015) - [c3]Péricles Alves, Fabian Gruber, Johannes Doerfert
Runtime pointer disambiguation. OOPSLA 2015: 589-606 - [i1]Johannes Doerfert
Polly's Polyhedral Scheduling in the Presence of Reductions. CoRR abs/1505.07716 (2015) - 2014
- [c2]Jan Reineke, Johannes Doerfert
Architecture-parametric timing analysis. RTAS 2014: 189-200 - 2013
- [c1]Andreas Abel, Florian Benz, Johannes Doerfert
Impact of Resource Sharing on Performance and Performance Prediction: A Survey. CONCUR 2013: 25-43
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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