Lorenzo Chelini

According to our database, Lorenzo Chelini authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR.

Jianyi Cheng, Samuel Coward, Lorenzo Chelini, Rafael Barbalho, Theo Drane

CoRR, 2023

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms.

Asif Ali Khan, Hamid Farzaneh, Karl F. A. Friebel, Lorenzo Chelini, Jerónimo Castrillón

CoRR, 2023

2022

OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory.

Adam Siemieniuk, Lorenzo Chelini, Asif Ali Khan, Jerónimo Castrillón, Andi Drebes, Henk Corporaal, Tobias Grosser, Martin Kong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

MOM: Matrix Operations in MLIR.

Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi, Marcin Copik, Tobias Grosser, Daniele G. Spampinato

CoRR, 2022

2021

LoopOpt: Declarative Transformations Made Easy.

Lorenzo Chelini, Martin Kong, Tobias Grosser, Henk Corporaal

Proceedings of the SCOPES '21: 24th International Workshop on Software and Compilers for Embedded Systems, Eindhoven, The Netherlands, November 1, 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

Declarative Loop Tactics for Domain-specific Optimization.

Lorenzo Chelini, Oleksandr Zinenko, Tobias Grosser, Henk Corporaal

ACM Trans. Archit. Code Optim., 2020

PET-to-MLIR: A polyhedral front-end for MLIR.

Konrad Komisarczyk, Lorenzo Chelini, Kanishkan Vadivel, Roel Jordans, Henk Corporaal

Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

TDO-CIM: Transparent Detection and Offloading for Computation In-memory.

Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Automatic Generation of Multi-Objective Polyhedral Compiler Transformations.

Lorenzo Chelini, Tobias Gysi, Tobias Grosser, Martin Kong, Henk Corporaal

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Near-memory computing: Past, present, and future.

Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra

Microprocess. Microsystems, 2019

Coherently Attached Programmable Near-Memory Acceleration Platform and its application to Stencil Processing.

Jan van Lunteren, Ronald P. Luijten, Dionysios Diamantopoulos, Florian Auernhammer, Christoph Hagleitner, Lorenzo Chelini, Stefano Corda, Gagandeep Singh

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

A Review of Near-Memory Computing Architectures: Opportunities and Challenges.

Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018