Louis-Noel Pouchet

Louis-Noel Pouchet

Colorado State University

H-index: 37

North America-United States

About Louis-Noel Pouchet

Louis-Noel Pouchet, With an exceptional h-index of 37 and a recent h-index of 28 (since 2020), a distinguished researcher at Colorado State University, specializes in the field of Compilers.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach

Formal Verification of Source-to-Source Transformations for HLS

Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules

Kernel Merging for Throughput-Oriented Accelerator Generation

Machine learning for computer aided programming: From stochastic program repair to verifiable program equivalence

Accelerator design with decoupled hardware customizations: benefits and challenges

Fourst: A code generator for FFT-based fast stencil computations

MARTA: Multi-configuration Assembly pRofiler and Toolkit for performance Analysis

Louis-Noel Pouchet Information

University

Position

___

Citations(all)

6020

Citations(since 2020)

2927

Cited By

4323

hIndex(all)

37

hIndex(since 2020)

28

i10Index(all)

81

i10Index(since 2020)

65

Email

University Profile Page

Colorado State University

Google Scholar

View Google Scholar Profile

Louis-Noel Pouchet Skills & Research Interests

Compilers

Top articles of Louis-Noel Pouchet

Title

Journal

Author(s)

Publication Date

Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach

Stéphane Pouget

Louis-Noël Pouchet

Jason Cong

2024/4/1

Formal Verification of Source-to-Source Transformations for HLS

Louis-Noël Pouchet

Emily Tucker

Niansong Zhang

Hongzheng Chen

Debjit Pal

...

2024/4/1

Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules

IEEE Transactions on Software Engineering

Steve Kommrusch

Martin Monperrus

Louis-Noël Pouchet

2023/4/27

Kernel Merging for Throughput-Oriented Accelerator Generation

13th International Workshop on Polyhedral Compilation Techniques

Nicolas Derumigny

Louis-Noël Pouchet

2023/1

Machine learning for computer aided programming: From stochastic program repair to verifiable program equivalence

Steve Kommrusch

2022

Accelerator design with decoupled hardware customizations: benefits and challenges

Debjit Pal

Yi-Hsiang Lai

Shaojie Xiang

Niansong Zhang

Hongzheng Chen

...

2022/7/10

Fourst: A code generator for FFT-based fast stencil computations

Zafar Ahmad

Mohammad Mahdi Javanmard

Gregory Croisdale

Aaron Gregory

Pramod Ganapathi

...

2022/5/22

MARTA: Multi-configuration Assembly pRofiler and Toolkit for performance Analysis

Marcos Horro

Louis-Noël Pouchet

Gabriel RodríDguez

Juan Tourino

2022/5/22

Palmed: Throughput characterization for superscalar architectures

Nicolas Derumigny

Théophile Bastian

Fabian Gruber

Guillaume Iooss

Christophe Guillon

...

2022/4/2

A Compiler for Hierarchical Task-Based Programming on Distributed-Memory

Alexandre Dubois

2022

Custom High-Performance Vector Code Generation for Data-Specific Sparse Computations

Marcos Horro

Louis-Noël Pouchet

Gabriel Rodríguez

Juan Touriño

2022/10/10

Representing Integer Sequences Using Piecewise-Affine Loops

Mathematics

Gabriel Rodríguez

Louis-Noël Pouchet

Juan Touriño

2021/9/24

Proving equivalence between complex expressions using graph-to-sequence neural models

arXiv preprint arXiv:2106.02452

Steve Kommrusch

Théo Barollet

Louis-Noël Pouchet

2021/6/1

PolyBench/Python: benchmarking Python environments with polyhedral optimizations

Miguel Á Abella-González

Pedro Carollo-Fernández

Louis-Noël Pouchet

Fabrice Rastello

Gabriel Rodríguez

2021/3/2

Optimizing coherence traffic in manycore processors using closed-form caching/home agent mappings

IEEE Access

Steve Kommrusch

Marcos Horro

Louis-Noël Pouchet

Gabriel Rodríguez

Juan Tourino

2021/2/9

Equivalence of dataflow graphs via rewrite rules using a graph-to-sequence neural model

arXiv preprint arXiv:2002.06799

Steve Kommrusch

Théo Barollet

Louis-Noël Pouchet

2020/2/17

Coherence Traffic in Manycore Processors with Opaque Distributed Directories

arXiv preprint arXiv:2011.05422

Steve Kommrusch

Marcos Horro

Louis-Noël Pouchet

Gabriel Rodríguez

Juan Touriño

2020/11/10

Identification of Regular Patterns Within Sparse Data Structures

Travis Augustine

2020

Learning Axioms to Compute Verifiable Symbolic Expression Equivalence Proofs Using Graph-to-Sequence Networks

Steven James Kommrusch

Louis-Noel Pouchet

Theo Barolett

2020/10/2

Pruning and Acceleration of Deep Neural Networks

Janarthanan Thivagara Sarma

2020

See List of Professors in Louis-Noel Pouchet University(Colorado State University)