Louis-Noël Pouchet Dept. of Computer Science Colorado State University Fort Collins, CO tel: (+1) 614-859-5115 email: pouchet@colostate.edu office: CS-346

News

• Disclaimer: I do not regularly maintain this website, in fact, it contains only information till 2017 mostly. See instead Google Scholar or DBLP for recent publications, the CS@CSU website for funded research projects, and the sourceforge websites of PolyBench/C and PoCC for their software releases. At CSU, I teach CS453 and CS553, both in Spring.
• 03/01/2017: PoCC 1.4 is released.
• 08/16/2016: Joining Colorado State University.

Position

I am currently an Associate Professor of Computer Science at Colorado State University, with a joint appointment in the Electrical and Computer Engineering department. I work on a variety of topics for high-performance computing, and in particular I develop compiler technologies based on the polyhedral framework. I am a member of the Center for Domain-Specific Computing (NSF) and of the DSL Technology for Exascale Computing project (DoE). I also lead research on the enhancement and use of polyhedral compilation technologies for heterogeneous platforms (NSF and Intel ISRA). In the past I was a member of the Platform-Aware Compilation Environment project (DARPA), where I contributed a polyhedral compilation engine (PolyOpt) for the ROSE compiler.

I received a Ph.D in Computer Science in Jan. 2010, for my work at the ALCHEMY group, INRIA Saclay. I was advised by Albert Cohen and Cédric Bastoul. In 2006, I graduated from EPITA (a French Engineer school specialized in Computer Science) and in parallel received a Master's degree in Computer Science (minor in Cognitive Sciences) from the University of Paris-Sud XI.

• polyhedral compilation
• iterative and adaptive compilation / auto-tuning compilers
• performance portability
• machine learning
• performance-oriented domain-specific languages
• hardware-software co-design
• energy-aware program optimization
• program transformations for high-level synthesis
• programming languages
• I/O complexity models

Software

Compilation

• PoCC: the Polyhedral Compiler Collection
  A flexible source-to-source iterative and model-driven compiler, embedding most of the state-of-the-art tools for polyhedral compilation.
  Status: On development, version 1.2 available.
  


• PolyOpt/C: A Polyhedral Optimizer for the ROSE compiler
  A complete polyhedral framework (data dependence analysis, annotation, program transformations) accessible in the ROSE compiler. Automatic detection and optimization of polyhedral regions.
  Status: On development, version 0.2.1 available.
  


• LeTSeE: the LEgal Transformation SpacE Explorator
  Tool to build and explore systematically or heuristically the legal transformation space of a program, in the polyhedral model.
  Status: Version 0.2.0 available.
  


• FM: the Fourier-Motzkin library
  A library for manipulating Q-polyhedra. It comprises a fast and redundancy-controlled C implementation of the Fourier-Motzkin projection algorithm.
  Status: Version 0.5.0 available.
  

Benchmarking

• PolyBench/C
  A set of reference C files containing Static Control Parts.
  Status: Version 4.1 available.
  


• PolyBench/Fortran
  A set of reference Fortran files containing Static Control Parts.
  Status: Version 1.0 available.
  

Miscellaneous

• AutoSkelet
  A tunable project skeleton generator using Autoconf, Automake and Libtools.
  Status: Version 0.1 available.
  


• LoopbackPortForwarding
  A small Java app to forward ports between your public IP address and the loopback.
  Proven to be very useful to allow Internet users to connect to Google Android apps running on your PC!
  Status: Version 0.1 available.
  

Lectures

Part I: Theory

Part II: Practice

Part III: Communication management

Methodology and problem solving

Randomly selected topics

Publications

Note: this list is incomplete

In conferences and journals

1. Wenlei Bao, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello and P. Sadayappan.
   PolyCheck: Dynamic Verification of Iteration Space Transformations on Affine Programs.
   In 43th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL'16). ACM Press, St. Petersburg, FL, January 2016.
   [bibtex-entry] [pdf] [slides]
2. Wei Zuo, Warren Kemmerer, Jong Bin Lim, Louis-Noël Pouchet, Andrey Ayupov, and Taemin Kim, Kyungtae Han and Deming Chen.
   A Polyhedral-based SystemC Modeling and Generation Framework for Effective Low-power Design Space Exploration.
   In IEEE/ACM International Conference on Computer-Aided Design (ICCAD'15). IEEE Press, Austin, TX, November 2015.
   [bibtex-entry] [pdf] [slides]
3. Naser Sedaghati, Te Mu, Louis-Noël Pouchet, Srinivasan Parthasarathy and P. Sadayappan.
   Automatic Selection of Sparse Matrix Representation on GPUs.
   In ACM International Conference on Supercomputing (ICS'15). ACM Press, Newport Beach, CA, June 2015.
   [bibtex-entry] [pdf] [slides]
4. Tobias Grosser, J. Ramanujam, Louis-Noël Pouchet, P. Sadayappan and Sebastian Pop.
   Optimistic Delinearization of Parametrically Sized Arrays.
   In ACM International Conference on Supercomputing (ICS'15). ACM Press, Newport Beach, CA, June 2015.
   [bibtex-entry] [pdf] [slides]
5. Peng Li, Peng Zhang, Louis-Noël Pouchet and Jason Cong.
   Resource-Aware Throughput Optimization for High-Level Synthesis.
   In 23rd ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'15). ACM Press, Monterey, California, February 2015.
   [bibtex-entry] [pdf] [slides]
6. Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan, and J. Ramanujam.
   Distributed Memory Code Generation for Mixed Irregular/Regular Computations.
   In 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'15). ACM Press, San Francisco, CA, February 2015.
   [bibtex-entry] [pdf] [slides]
7. Naznin Fauzia, Louis-Noël Pouchet and P. Sadayappan.
   Characterizing and Enhancing Global Memory Data Coalescing on GPUs.
   In 13th IEEE/ACM International Symposium on Code Generation and Optimization (CGO'15). ACM Press, San Francisco, CA, February 2015.
   [bibtex-entry] [pdf] [slides]
8. Martin Kong, Antoniu Pop, Louis-Noël Pouchet, R. Govindarajan, Albert Cohen and P. Sadayappan.
   Compiler/Runtime Framework for Dynamic Dataflow Parallelization of Tiled Programs.
   In ACM Transactions on Architecture and Code Optimization (TACO). Special issue on high-performance and embedded architectures and compilers, Volume 11 Issue 4, January 2015.
   [bibtex-entry] [pdf] [slides]
9. Venmugil Elango, Naser Sedaghati, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, Radu Teodorescu and P. Sadayappan.
   On Using the Roofline Model with Lower Bounds on Data Movement.
   In ACM Transactions on Architecture and Code Optimization (TACO). Special issue on high-performance and embedded architectures and compilers, Volume 11 Issue 4, January 2015.
   [bibtex-entry] [pdf] [slides]
10. Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan.
    On Characterizing the Data Access Complexity of Programs..
    In 42th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL'15). ACM Press, Mumbai, India 2015.
    [bibtex-entry] [pdf] [slides]
11. Jun Shirako, Louis-Noël Pouchet and Vivek Sarkar.
    Oil and water can mix: an integration of polyhedral and AST-based transformations.
    In IEEE Conference on Supercomputing (SC'14). New Orleans, LA, November 2014.
    [bibtex-entry] [pdf] [slides]
12. Markus Schordan, Pei-Hung Lin, Dan Quinlan and Louis-Noël Pouchet.
    Verification of polyhedral optimizations with constant loop bounds in finite state space computations.
    In 6th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications (ISoLA'14). Springer Verlag, Corfu, Greece, October 2014.
    [bibtex-entry] [pdf] [slides]
13. Mahesh Ravishankar, John Eisenlohr, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev and P. Sadayappan.
    Automatic parallelization of a class of irregular loops for distributed memory systems.
    In ACM Transactions on Transactions on Parallel Computing (TOPC). Volume 1 Issue 1, September 2014.
    [bibtex-entry] [pdf] [slides]
14. Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan.
    On characterizing the data movement complexity of computational DAGs for parallel execution.
    In 26th ACM symposium on Parallelism in algorithms and architectures (SPAA'14). ACM Press, Prague, Czech Republic, June 2014.
    [bibtex-entry] [pdf] [slides]
15. Kevin Stock, Martin Kong, Tobias Grosser, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam and P. Sadayappan.
    A framework for enhancing data reuse via associative reordering.
    In ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'14). ACM Press, Edinburgh, UK, June 2014.
    [bibtex-entry] [pdf] [slides]
16. Naznin Fauzia, Venmugil Elango, Mahesh Ravishankar, J Ramanujam, Fabrice Rastello, Atanas Rountev, Louis-Noël Pouchet and P Sadayappan.
    Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential.
    In ACM Transactions on Architecture and Code Optimization (TACO). Special issue on high-performance and embedded architectures and compilers, Volume 10 Issue 4, December 2013.
    [bibtex-entry] [pdf] [slides]
17. Wei Zuo, Peng Li, Deming Chen, Louis-Noël, Shunan Zhong and Jason Cong.
    Improving polyhedral code generation for high-level synthesis.
    In 9th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS'13). IEEE Press, Montreal, Canada, September 2013.
    [bibtex-entry] [pdf] [slides]
18. Tom Henretty, Richard Veras, Franz Franchetti, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan.
    A Stencil Compiler for Short-Vector SIMD Architectures.
    In ACM International Conference on Supercomputing (ICS'13). ACM Press, Eugene, OR, June 2013.
    [bibtex-entry] [pdf] [slides]
19. Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet and P. Sadayappan.
    When Polyhedral Transformations Meet SIMD Code Generation.
    In ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'13). ACM Press, Seattle, WA, June 2013.
    [bibtex-entry] [pdf] [slides]
20. Eunjung Park, John Cavazos, Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen and P. Sadayappan.
    Predictive Modeling in a Polyhedral Optimization Space.
    In International Journal of Parallel Programming (IJPP). Springer Verlag, 2013. In press.
    [bibtex-entry] [pdf]
21. Louis-Noël Pouchet, Peng Zhang, P. Sadayappan and Jason Cong.
    Polyhedral-Based Data Reuse Optimization for Configurable Computing.
    In 21st ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'13). ACM Press, Monterey, California, February 2013.
    [bibtex-entry] [pdf] [slides]
22. Mahesh Ravishankar, John Eisenlohr, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev and P. Sadayappan.
    Code Generation for Parallel Execution of a Class of Irregular Loops on Distributed Memory Systems.
    In IEEE Conference on Conference on High Performance Computing, Networking, Storage and Analysis (SC'12). IEEE Computer Society Press, Salt Lake City, Utah, November 2013.
    [bibtex-entry] [pdf] [slides]
23. Justin Holewinski, Louis-Noël Pouchet and P. Sadayappan.
    High-Performance Code Generation for Stencil Computations on GPU Architectures.
    In ACM International Conference on Supercomputing (ICS'12). ACM Press, Venice, Italy, June 2012.
    [bibtex-entry] [pdf] [slides]
24. Justin Holewinski, Ragavendar Ramamurthi, Mahesh Ravishankar, Naznin Fauzia, Louis-Noël Pouchet, Atanas Rountev and P. Sadayappan.
    Dynamic Trace-Based Analysis of Vectorization Potential of Applications.
    In ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'12). ACM Press, Beijing, China, June 2012.
    [bibtex-entry] [pdf] [slides]
25. Jun Shirako, Kamal Sharma, Naznin Fauzia, Louis-Noël Pouchet, J. Ramanujam,P. Sadayappan and Vivek Sarkar.
    Analytical Bounds for Optimal Tile Size Selection.
    In ETAPS International Conference on Compiler Construction (CC'2012). Springer Verlag, Tallinn, Estonia, March 2012.
    [bibtex-entry] [pdf] [slides]
26. Kevin Stock, Louis-Noël Pouchet and P. Sadayappan.
    Using Machine Learning to Improve Automatic Vectorization.
    In ACM Transactions on Architecture and Code Optimization (TACO). Special issue on high-performance and embedded architectures and compilers, Volume 8 Issue 4, January 2012.
    [bibtex-entry] [pdf] [[slides]
27. Sanket Tavarageri, Louis-Noël Pouchet, Ramanujam, Atanas Rountev and P. Sadayappan.
    Dynamic Selection of Tile Sizes.
    In 18th IEEE International Conference on High Performance Computing (HiPC'11). Bangalore, India, December 2011.
    [bibtex-entry] [pdf] [slides]
28. Naser Sedaghati, Renji Thomas, Louis-Noël Pouchet, Radu Teodorescu and P. Sadayappan.
    StVEC: A Vector Instruction Extension for High Performance Stencil Computation.
    In 20th IEEE International Conference on Parallel Architecture and Compilation Techniques (PACT'11). Galveston Island, Texas, October 2011.
    [bibtex-entry] [pdf] [slides]
29. Eunjung Park, Louis-Noël Pouchet, John Cavazos, Albert Cohen and P. Sadayappan.
    Predictive Modeling in a Polyhedral Optimization Space.
    In 9th IEEE/ACM International Symposium on Code Generation and Optimization (CGO'11). pp 119--129, Chamonix, France, April 2011.
    [bibtex-entry] [pdf] [slides]
30. Tom Henretty, Kevin Stock, Louis-Noël Pouchet, Franz Franchetti, J. Ramanujam and P. Sadayappan.
    Data Layout Transformation for Stencil Computations on Short-Vector SIMD Architectures.
    In ETAPS International Conference on Compiler Construction (CC'2011). pp 225--245, Springer Verlag, Saarbrucken, Germany, March 2011.
    [bibtex-entry] [pdf] [slides]
31. Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam, P. Sadayappan and Nicolas Vasilache.
    Loop Transformations: Convexity, Pruning and Optimization.
    In 38th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL'11). pp 549--562, Austin, TX, January 2011. Also appeared in ACM SIGPLAN Notices 46(1):549--562.
    [bibtex-entry] [pdf] [slides]
32. H. Munk, E. Ayguadé, C. Bastoul, P. Carpenter, Z. Chamski, A. Cohen, M. Cornero, P. Dumont, M. Duranton, M. Fellahi, R. Ferrer, R. Ladelsky, M. Lindwer, X. Martorell, C. Miranda, D. Nuzman, A. Ornstein, A. Pop, S. Pop, L.-N. Pouchet, A. Ramirez, D. Rodenas, E. Rohou, I. Rosen, U. Shvadron, K. Trifunovic, and A. Zaks.
    ACOTES Project: Advanced Compiler Technologies for Embedded Streaming.
    In International Journal of Parallel Programming (IJPP). 2011. Special issue on European HiPEAC network of excellence member's projects.
    [bibtex-entry] [pdf]
33. Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam and P. Sadayappan.
    Combined Iterative and Model-driven Optimization in an Automatic Parallelization Framework.
    In IEEE Conference on Supercomputing (SC'2010). New Orleans, LA, November 2010.
    [bibtex-entry] [pdf] [slides]
34. Mohamed-Walid Benabderrahmane, Louis-Noël Pouchet, Albert Cohen, Cédric Bastoul.
    The Polyhedral Model Is More Widely Applicable Than You Think.
    In ETAPS International Conference on Compiler Construction (CC'2010). pp 283--303, Springer Verlag, Paphos, Cyprus, March 2010.
    [bibtex-entry] [pdf] [slides]
35. Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen and John Cavazos.
    Iterative Optimization in the Polyhedral Model: Part II, Multidimensional Time.
    In ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'08). pp 90--100, ACM Press, Tucson, Arizona, June 2008. Also appeared in ACM SIGPLAN Notices 43(6):90--100.
    [bibtex-entry] [pdf] [slides]
36. Nicolas Vasilache, Albert Cohen and Louis-Noël Pouchet.
    Automatic Correction of Loop Transformations.
    In 16th IEEE International Conference on Parallel Architecture and Compilation Techniques (PACT'07). pp 292--304, IEEE Computer Society Press, Brasov, Roumania, September 2007.
    [bibtex-entry] [pdf]
37. Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen and Nicolas Vasilache.
    Iterative Optimization in the Polyhedral Model: Part I, One-dimensional Time.
    In 5th IEEE/ACM International Symposium on Code Generation and Optimization (CGO'07). pp 144--156, IEEE Computer Society Press, San Jose, California, March 2007.
    [bibtex-entry] [pdf] [slides]
38. Thomas Claveirole, Sylvain Lombardy, Sarah O'Connor, Louis-Noël Pouchet and Jacques Sakarovitch.
    Inside Vaucanson.
    In 10th International Conference on Implementation and Application of Automata (CIAA'05). pp. 117--128, Lecture Notes in Computer Science Series, Vol. 3845, Springer-Verlag, Sophia-Antipolis, France, June 2005.
    [bibtex-entry] [pdf] [slides]

In workshops

39. Prashant Rawat, Martin Kong, Tom Henretty, Justin Holewinski, Kevin Stock, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev and P. Sadayappan.
    SDSLc: A Multi-target Domain-specific Compiler for Stencil Computations.
    In 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC'15) . Austin, TX, November 2015.
    [bibtex-entry] [pdf] [slides]
40. Alina Sbirlea, Jun Shirako, Louis-Noël Pouchet and Vivek Sarkar.
    Polyhedral Optimizations for a Data-Flow Graph Language.
    In 28th International Workshop on Languages and Compilers for Parallel Computing (LCPC'15) . Raleigh, NC, September 2015.
    [bibtex-entry] [pdf] [slides]
41. Martin Kong, Louis-Noël Pouchet and P. Sadayappan.
    A Roofline-based Performance Estimator for Distributed Matrix-multiply on Intel CnC.
    In 10th International Workshop on Automatic Performance Tuning (IWAPT'15) . Hyberabad, India, May 2015.
    [bibtex-entry] [pdf] [slides]
42. Naser Sedaghati, Arash Ashari, Louis-Noël Pouchet, Srinivasan Parthasarathy and P. Sadayappan.
    Characterizing Dataset Dependence for Sparse Matrix-Vector Multiplication on GPU.
    In 2nd Workshop on Parallel Programming for Analytics Applications (PPAA'15) . San Francisco, CA, February 2015.
    [bibtex-entry] [pdf] [slides]
43. Alina Sbirlea, Louis-Noël Pouchet and Vivek Sarkar.
    DFGR: an Intermediate Graph Representation for Macro-Dataflow Programs.
    In 4th workshop on Data-Flow Execution Models for Extreme Scale Computing (DFM'14) . Edmonton, Canada, August 2014.
    [bibtex-entry] [pdf] [slides]
44. 3rd International Workshop on Polyhedral Compilation Techniques.
    61 pages. Berlin, January 2013.
    [bibtex-entry] [pdf] [website]
45. Kevin Stock, Louis-Noël Pouchet and P. Sadayappan.
    Automatic Transformations for Effective Parallel Execution on Intel Many Integrated Core.
    In TACC-Intel Highly Parallel Computing Symposium. Austin, TX, April 2012.
    [bibtex-entry] [pdf] [slides]
46. Tobias Grosser, Hongbin Zheng, Raghesh A, Andreas Simburger, Armin Grosslinger and Louis-Noël Pouchet.
    Polly - Polyhedral Optimization in LLVM.
    In First International Workshop on Polyhedral Compilation Techniques (IMPACT'11). Chamonix, France, April 2011.
    [bibtex-entry] [pdf] [slides]
47. Sanket Tavarageri, Albert Hartono, Muthu Baskaran, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan.
    Parametric Tiling of Affine Loop Nests.
    In 15th Workshop on Compilers for Parallel Computing (CPC'10). Vienna, Austria, July 2010.
    [bibtex-entry] [pdf]
48. Riyadh Baghdadi, Albert Cohen, Cédric Bastoul, Louis-Noël Pouchet and Lawrence Rauchwerger.
    The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization.
    In 3rd Workshop on Parallel Execution of Sequential Programs on Multi-core Architectures (PESPMA'10). Saint-Malo, France, June 2010. Position paper.
    [bibtex-entry] [pdf]
49. Mohammed Rahman, Louis-Noël Pouchet and P. Sadayappan.
    Neural Network Assisted Tile Size Selection.
    In 5th International Workshop on Automatic Performance Tuning (iWAPT'10). Berkeley, CA, USA, June 2010.
    [bibtex-entry] [pdf] [slides]
50. K. Ibrahim, J. Jaeger, Z. Liu, L.N. Pouchet, P. Lesnicki, L. Djoudi, D.Barthou, F. Bodin, C. Eisenbeis, G. Grosdidier, O. Pene and P. Roudeau.
    Simulation of the Lattice QCD and Technological Trends in Computation.
    In 14th Workshop on Compilers for Parallel Computing (CPC'09). Zurich, Switzerland, January 2009.
    [bibtex-entry] [pdf]
51. Louis-Noël Pouchet, Cédric Bastoul, John Cavazos and Albert Cohen.
    A Note on the Performance Distribution of Affine Schedules.
    In 2nd Workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion (SMART'08). Gotenborg, Sweden, January 2008.
    [bibtex-entry] [pdf] [slides]
52. Louis-Noël Pouchet, Cédric Bastoul and Albert Cohen.
    Iterative Optimization in the Polyhedral Model: the One-dimensional Affine Scheduling Case.
    In 2nd HiPEAC Industrial Workshop. Eindhoven, the Netherlands, October 2006.
    [bibtex-entry] [pdf] [slides]

Miscellaneous

53. Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam and P. Sadayappan.
    Hybrid Iterative and Model-Driven Optimization in the Polyhedral Model.
    In INRIA Research Report 6962. June 2009.
    [bibtex-entry] [pdf]
54. Mohamed-Walid Benabderrahmane, Cédric Bastoul, Louis-Noël Pouchet and Albert Cohen.
    A Conservative Approach to Handle Full Functions in the Polyhedral Model.
    In INRIA Research Report 6814. January 2009.
    [bibtex-entry] [pdf]
55. Louis-Noël Pouchet, Cédric Bastoul and Albert Cohen.
    LeTSeE: the LEgal Transformation SpacE Explorator.
    In Third International Summer School on Advanced Computer Architecture and Compilation for Embedded Systems. pp 247--251, L'Aquila, Italia, July 2007. Extended abstract.
    [bibtex-entry] [pdf] [poster]
56. Louis-Noël Pouchet.
    An Interpreter for Vaucanson.
    In EPITA Research and Development Laboratory Seminar. Le Kremlin-Bicetre, France, June 2004.
    [bibtex-entry] [pdf] [slides]

Thesis

57. Louis-Noël Pouchet.
    Iterative Optimization in the Polyhedral Model.
    Ph.D (University of Paris-Sud XI). Orsay, France, January 2010.
    [bibtex-entry] [pdf] [slides]
58. Louis-Noël Pouchet.
    When Iterative Optimization Meets the Polyhedral Model: One-dimensional Date.
    Master thesis (University of Paris-Sud XI). Orsay, France, October 2006.
    [bibtex-entry] [pdf] [slides]