Oleksandr Zinenko

According to our database, Oleksandr Zinenko authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

The MLIR Transform Dialect. Your compiler is more powerful than you think.

Martin Paul Lücke, Oleksandr Zinenko, William S. Moses, Michel Steuwer, Albert Cohen

CoRR, 2024

Transform Dialect Tutorial.

Oleksandr Zinenko

CoRR, 2024

Retargeting and Respecializing GPU Workloads for Performance Portability.

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

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

Strided Difference Bound Matrices.

Arjun Pitchanathan, Albert Cohen, Oleksandr Zinenko, Tobias Grosser

Proceedings of the Computer Aided Verification - 36th International Conference, 2024

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

Code Generation for In-Place Stencils.

Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

2022

Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction.

Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik, Mahesh Ravishankar, Thomas Raoux, Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo, Albert Cohen

CoRR, 2022

Structured Operations: Modular Design of Code Generators for Tensor Compilers.

Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik, Mahesh Ravishankar, Thomas Raoux, Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo, Albert Cohen

Proceedings of the Languages and Compilers for Parallel Computing, 2022

2021

Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-accelerated Climate Simulation.

Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser

ACM Trans. Archit. Code Optim., 2021

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation.

Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

Progressive Raising in Multi-level IR.

Lorenzo Chelini, Andi Drebes, Oleksandr Zinenko, Albert Cohen, Nicolas Vasilache, Tobias Grosser, Henk Corporaal

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

Polygeist: Raising C to Polyhedral MLIR.

William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

ACM Trans. Archit. Code Optim., 2020

Declarative Loop Tactics for Domain-specific Optimization.

Lorenzo Chelini, Oleksandr Zinenko, Tobias Grosser, Henk Corporaal

ACM Trans. Archit. Code Optim., 2020

Domain-Specific Multi-Level IR Rewriting for GPU.

Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser

CoRR, 2020

MLIR: A Compiler Infrastructure for the End of Moore's Law.

Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko

CoRR, 2020

2018

Visual Program Manipulation in the Polyhedral Model.

Oleksandr Zinenko, Stéphane Huot, Cédric Bastoul

ACM Trans. Archit. Code Optim., 2018

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

CoRR, 2018

Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine scheduling.

Oleksandr Zinenko, Sven Verdoolaege, Chandan Reddy, Jun Shirako, Tobias Grosser, Vivek Sarkar, Albert Cohen

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

2016

Interactive Program Restructuring. (Restructuration interactive des programmes).

Oleksandr Zinenko

PhD thesis, 2016

Opening polyhedral compiler's black box.

Lénaïc Bagnères, Oleksandr Zinenko, Stéphane Huot, Cédric Bastoul

Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

2014

Clint: A direct manipulation tool for parallelizing compute-intensive program parts.

Oleksandr Zinenko, Stéphane Huot, Cédric Bastoul

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2014