Alexis Engelke

According to our database, Alexis Engelke authored at least 11 papers between 2017 and 2026.

Collaborative distances:

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

2026

TPDE: A Fast Adaptable Compiler Back-End Framework.

Tobias Schwarz, Tobias Kamm, Alexis Engelke

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

Synthesizing Instruction Selection Back-Ends from ISA Specifications Made Practical.

Florian Drescher, Alexis Engelke

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2024

HiPy: Extracting High-Level Semantics from Python Code for Data Processing.

Michael Jungmair, Alexis Engelke, Jana Giceva

Proc. ACM Program. Lang., 2024

Performant Bounds Checking for 64-Bit WebAssembly.

Lukas Döllerer, Alexis Engelke

Proceedings of the 16th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, 2024

Compile-Time Analysis of Compiler Frameworks for Query Compilation.

Alexis Engelke, Tobias Schwarz

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

Fast Template-Based Code Generation for MLIR.

Florian Drescher, Alexis Engelke

Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction, 2024

2023

Bringing Compiling Databases to RISC Architectures.

Ferdinand Gruber, Maximilian Bandle, Alexis Engelke, Thomas Neumann, Jana Giceva

Proc. VLDB Endow., 2023

2021

Optimizing Performance Using Dynamic Code Generation.

Alexis Engelke

PhD thesis, 2021

Efficient LLVM-based dynamic binary translation.

Alexis Engelke, Dominik Okwieka, Martin Schulz

Proceedings of the VEE '21: 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2021

2020

Instrew: leveraging LLVM for high performance dynamic binary instrumentation.

Alexis Engelke, Martin Schulz

Proceedings of the VEE '20: 16th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2020

2017

Using LLVM for Optimized Lightweight Binary Re-Writing at Runtime.

Alexis Engelke, Josef Weidendorfer

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017