Automatic memory layout transformations to optimize spatial locality in parameterized loop nests. - Philippe Clauss; Benoît Meister (SIGARCH Comput. Archit. News, 2000)

Data Sequence Locality: A Generalization of Temporal Locality. - Vincent Loechner; Benoît Meister; Philippe Clauss (Euro-Par, 2001)

Precise Data Locality Optimization of Nested Loops. - Vincent Loechner; Benoît Meister; Philippe Clauss (J. Supercomput., 2002)

Periodic Polyhedra. - Benoît Meister (CC, 2004)

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction. - Allen Leung; Nicolas Vasilache; Benoît Meister; Muthu Manikandan Baskaran; David Wohlford; Cédric Bastoul; Richard Lethin (GPGPU, 2010)

R-Stream Compiler. - Benoît Meister; Nicolas Vasilache; David Wohlford; Muthu Manikandan Baskaran; Allen Leung; Richard Lethin (Encyclopedia of Parallel Computing, 2011)

Efficient and scalable computations with sparse tensors. - Muthu Manikandan Baskaran; Benoît Meister; Nicolas Vasilache; Richard Lethin (HPEC, 2012)

Automatic communication optimizations through memory reuse strategies. - Muthu Manikandan Baskaran; Nicolas Vasilache; Benoît Meister; Richard Lethin (PPoPP, 2012)

Integer affine transformations of parametric ℤ-polytopes and applications to loop nest optimization. - Rachid Seghir; Vincent Loechner; Benoît Meister (ACM Trans. Archit. Code Optim., 2012)

Memory reuse optimizations in the R-Stream compiler. - Nicolas Vasilache; Muthu Manikandan Baskaran; Benoît Meister; Richard Lethin (GPGPU@ASPLOS, 2013)

Runnemede: An architecture for Ubiquitous High-Performance Computing. - Nicholas P. Carter; Aditya Agrawal; Shekhar Borkar; Romain Cledat; Howard David; Dave Dunning; Joshua B. Fryman; Ivan Ganev; Roger A. Golliver; Rob C. Knauerhase; Richard Lethin; Benoît Meister; et al. (HPCA, 2013)

Re-Introduction of communication-avoiding FMM-accelerated FFTs with GPU acceleration. - Harper Langston; Muthu Manikandan Baskaran; Benoît Meister; Nicolas Vasilache; Richard Lethin (HPEC, 2013)

Low-overhead load-balanced scheduling for sparse tensor computations. - Muthu Manikandan Baskaran; Benoît Meister; Richard Lethin (HPEC, 2014)

ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution. - Andres Marquez 001; Joseph B. Manzano; Shuaiwen Leon Song; Benoît Meister; Sunil Shrestha; Thomas St. John; Guang R. Gao (ICPADS, 2014)

Parallelizing and optimizing sparse tensor computations. - Muthu Manikandan Baskaran; Benoît Meister; Richard Lethin (ICS, 2014)

A Tale of Three Runtimes. - Nicolas Vasilache; Muthu Manikandan Baskaran; Thomas Henretty; Benoît Meister; Harper Langston; Sanket Tavarageri; Richard Lethin (CoRR, 2014)

Optimization of symmetric tensor computations. - Jonathon Cai; Muthu Manikandan Baskaran; Benoît Meister; Richard Lethin (HPEC, 2015)

Automatic cluster parallelization and minimizing communication via selective data replication. - Sanket Tavarageri; Benoît Meister; Muthu Manikandan Baskaran; Benoît Pradelle; Thomas Henretty; Athanasios Konstantinidis 001; Ann Johnson; Richard Lethin (HPEC, 2015)

Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler. - Eric Papenhausen; Bing Wang 007; Harper Langston; Muthu Manikandan Baskaran; Thomas Henretty; Taku Izubuchi; Ann Johnson; Chulwoo Jung; Meifeng Lin; Benoît Meister; Klaus Mueller 001; Richard Lethin (VISSOFT, 2015)

A unified Coq framework for verifying C programs with floating-point computations. - Tahina Ramananandro; Paul Mountcastle; Benoît Meister; Richard Lethin (CPP, 2016)

The Open Community Runtime: A runtime system for extreme scale computing. - Timothy G. Mattson; Romain Cledat; Vincent Cavé; Vivek Sarkar; Zoran Budimlic; Sanjay Chatterjee; Joshua B. Fryman; Ivan Ganev; Robin Knauerhase; Min Lee; Benoît Meister; Brian Nickerson; et al. (HPEC, 2016)

Polyhedral compilation for energy efficiency. - Benoît Pradelle; Muthu Manikandan Baskaran; Thomas Henretty; Benoît Meister; Athanasios Konstantinidis 001; Richard Lethin (HPEC, 2016)

Scalable Hierarchical Polyhedral Compilation. - Benoît Pradelle; Benoît Meister; Muthu Manikandan Baskaran; Athanasios Konstantinidis 001; Thomas Henretty; Richard Lethin (ICPP, 2016)

An Interactive Visual Tool for Code Optimization and Parallelization Based on the Polyhedral Model. - Eric Papenhausen; Klaus Mueller 001; Harper Langston; Benoît Meister; Richard Lethin (ICPP Workshops, 2016)

Energy Avoiding Matrix Multiply. - Kelly Livingston; Aaron Myles Landwehr; José Monsalve Diaz; Stéphane Zuckerman; Benoît Meister; Guang R. Gao (LCPC, 2016)

Automatic Code Generation and Data Management for an Asynchronous Task-Based Runtime. - Muthu Manikandan Baskaran; Benoît Pradelle; Benoît Meister; Athanasios Konstantinidis 001; Richard A. Lethin (ESPT@SC, 2016)

A sparse multidimensional FFT for real positive vectors. - Pierre-David Letourneau; Harper Langston; Benoît Meister; Richard Lethin (CoRR, 2016)

Efficient Compilation to Event-Driven Task Programs. - Benoît Meister; Muthu Manikandan Baskaran; Benoît Pradelle; Thomas Henretty; Richard Lethin (CoRR, 2016)

Polyhedral Optimization of TensorFlow Computation Graphs. - Benoît Pradelle; Benoît Meister; Muthu Manikandan Baskaran; Jonathan Springer; Richard Lethin (ESPT/VPA@SC, 2017)

POSTER: Automatic Parallelization Targeting Asynchronous Task-Based Runtimes. - Charles Jin; Muthu Manikandan Baskaran; Benoît Meister (PACT, 2019)

Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer. - Charles Jin; Muthu Manikandan Baskaran; Benoît Meister; Jonathan Springer (HPEC, 2019)

Polyhedral Tensor Schedulers. - Benoît Meister; Eric Papenhausen; Benoît Pradelle (HPCS, 2019)

PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization. - Eric Papenhausen; Matthew Harper Langston; Benoît Meister; Richard Lethin; Klaus Mueller 001 (IEEE Computer Graphics and Applications, 2019)

Automatic Mapping and Optimization to Kokkos with Polyhedral Compilation. - Muthu Manikandan Baskaran; Charles Jin; Benoît Meister; Jonathan Springer (HPEC, 2020)

HACCLE: An Ecosystem for Building Secure Multi-Party Computations. - Yuyan Bao; Kirshanthan Sundararajah; Raghav Malik; Qianchuan Ye; Christopher Wagner; Fei Wang 046; Mohammad Hassan Ameri; Donghang Lu; Alexander Seto; Benjamin Delaware; Roopsha Samanta; Aniket Kate; et al. (CoRR, 2020)

HACCLE: metaprogramming for secure multi-party computation. - Yuyan Bao; Kirshanthan Sundararajah; Raghav Malik; Qianchuan Ye; Christopher Wagner; Nouraldin Jaber; Fei Wang 046; Mohammad Hassan Ameri; Donghang Lu; Alexander Seto; Benjamin Delaware; Roopsha Samanta; et al. (GPCE, 2021)