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Andi Drebes
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2020 – today
- 2022
- [j3]Adam Siemieniuk, Lorenzo Chelini, Asif Ali Khan, Jerónimo Castrillón, Andi Drebes, Henk Corporaal, Tobias Grosser, Martin Kong:
OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1674-1686 (2022) - 2021
- [c9]Lorenzo Chelini, Andi Drebes, Oleksandr Zinenko, Albert Cohen, Nicolas Vasilache, Tobias Grosser, Henk Corporaal:
Progressive Raising in Multi-level IR. CGO 2021: 15-26 - 2020
- [c8]Igor Wodiany, Andi Drebes, Richard Neill, Antoniu Pop:
AfterOMPT: An OMPT-Based Tool for Fine-Grained Tracing of Tasks and Loops. IWOMP 2020: 165-180
2010 – 2019
- 2018
- [c7]Osman Seckin Simsek, Andi Drebes, Antoniu Pop:
Leveraging Data-Flow Task Parallelism for Locality-Aware Dynamic Scheduling on Heterogeneous Platforms. IPDPS Workshops 2018: 540-549 - [c6]Richard Neill, Andi Drebes, Antoniu Pop:
Automated Analysis of Task-Parallel Execution Behavior Via Artificial Neural Networks. IPDPS Workshops 2018: 647-656 - 2017
- [j2]Richard Neill, Andi Drebes, Antoniu Pop:
Fuse: Accurate Multiplexing of Hardware Performance Counters Across Executions. ACM Trans. Archit. Code Optim. 14(4): 43:1-43:26 (2017) - [c5]Richard Neill, Andi Drebes, Antoniu Pop:
Accurate and Complete Hardware Profiling for OpenMP - Multiplexing Hardware Events Across Executions. IWOMP 2017: 266-280 - 2016
- [c4]Andi Drebes, Antoniu Pop, Karine Heydemann, Albert Cohen, Nathalie Drach:
Scalable Task Parallelism for NUMA: A Uniform Abstraction for Coordinated Scheduling and Memory Management. PACT 2016: 125-137 - [c3]Andi Drebes, Antoniu Pop, Karine Heydemann, Albert Cohen:
Interactive visualization of cross-layer performance anomalies in dynamic task-parallel applications and systems. ISPASS 2016: 274-283 - [c2]Andi Drebes, Jean-Baptiste Bréjon, Antoniu Pop, Karine Heydemann, Albert Cohen:
Language-Centric Performance Analysis of OpenMP Programs with Aftermath. IWOMP 2016: 237-250 - [c1]Andi Drebes, Antoniu Pop, Karine Heydemann, Nathalie Drach, Albert Cohen:
NUMA-aware scheduling and memory allocation for data-flow task-parallel applications. PPoPP 2016: 44:1-44:2 - 2015
- [b1]Andi Drebes:
Dynamic optimization of data-flow task-parallel applications for large-scale NUMA systems. (Optimisation dynamique des applications à base de tâches data-flow pour des machines NUMA). Pierre and Marie Curie University, Paris, France, 2015 - 2014
- [j1]Andi Drebes, Karine Heydemann, Nathalie Drach, Antoniu Pop, Albert Cohen:
Topology-Aware and Dependence-Aware Scheduling and Memory Allocation for Task-Parallel Languages. ACM Trans. Archit. Code Optim. 11(3): 30:1-30:25 (2014) - [i1]Andi Drebes, Karine Heydemann, Antoniu Pop, Albert Cohen, Nathalie Drach:
Automatic Detection of Performance Anomalies in Task-Parallel Programs. CoRR abs/1405.2916 (2014)
Coauthor Index
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