Oleksandr Zinenko

Orcid: 0000-0003-1978-0222

According to our database1, Oleksandr Zinenko authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Retargeting and Respecializing GPU Workloads for Performance Portability.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Code Generation for In-Place Stencils.
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.
CoRR, 2022

Structured Operations: Modular Design of Code Generators for Tensor Compilers.
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.
ACM Trans. Archit. Code Optim., 2021

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

Progressive Raising in Multi-level IR.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

Polygeist: Raising C to Polyhedral MLIR.
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.
ACM Trans. Archit. Code Optim., 2020

Declarative Loop Tactics for Domain-specific Optimization.
ACM Trans. Archit. Code Optim., 2020

Domain-Specific Multi-Level IR Rewriting for GPU.
CoRR, 2020

MLIR: A Compiler Infrastructure for the End of Moore's Law.
CoRR, 2020

2018
Visual Program Manipulation in the Polyhedral Model.
ACM Trans. Archit. Code Optim., 2018

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.
CoRR, 2018

Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine scheduling.
Proceedings of the 27th International Conference on Compiler Construction, 2018

2016
Interactive Program Restructuring. (Restructuration interactive des programmes).
PhD thesis, 2016

Opening polyhedral compiler's black box.
Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

2014
Clint: A direct manipulation tool for parallelizing compute-intensive program parts.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2014


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