Languages, Compilation, and Semantics LIP Seminar
7th Edition, 2018, July, 5th
Information
The seminar will be hold at ??. The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Program
Click on title for abstract.
9h009h30  Welcome  
9h3010h30  Nicolas Halbwachs (Verimag)  
10h3011h00  Coffee break  
11h0011h45  Matthieu Moy (LIP)  
11h4512h30  Pierre Clairambault (LIP) 
6th Edition, 2018, April, 26th
Information
The seminar will be hold at the room at 1 place de l'école, ENS Lyon, Monod site. The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Program
Click on title for abstract.
9h009h30  Welcome  
9h3010h30  Warwick Tucker (Uppsala University & LIP)  In this talk we will discuss some powerful techniques from the field of computeraided proofs. The methods we will present are all based on setvalued mathematics (interval analysis) which is wellsuited for computational proofs where the underlying problem is continuous rather than discrete. We will also talk about some concrete mathematical problems that we are currently trying to solve using the abovementioned methods. 
10h3011h00  Coffee break  
11h0011h45  Ludovic Henrio (I3S) 
Active objects is a programming paradigm strongly inspired from actors. In this talk, I will first present the active object programming model, and the different languages that implement it.
In the Scale team we develop one particular active object language: the ASP model, and its reference implementation: ProActive.
This will allow me to show how active objects can be used to implement software components, and how we extended the model to support local multithreading. I will also illustrate how this model is efficient and expressive.
Finally, I will present different efforts in applying formal methods to this programming model and to software components in order to ensure the correctness of programming languages and of distributed applications.

11h4512h30  Laure Daviaud (Warwick University) 
We define two classes of functions, called regular (respectively,
firstorder) list functions, which manipulate objects such as lists,
lists of lists, pairs of lists, lists of pairs of lists, etc. The
definition is in the style of regular expressions: the functions are
constructed by starting with some basic functions (e.g. projections from
pairs, or head and tail operations on lists) and putting them together
using four combinators (most importantly, composition of functions).
Our main results are that firstorder list functions are exactly the
same as firstorder transductions, under a suitable encoding of the
inputs; and the regular list functions are exactly the same as
MSOtransductions.
This is a joint work with Mikolaj Bojanczyk and Krishna Shankara Naravanan. 
5th Edition, 2018, March, 8th
Information
The seminar will be hold at Amphi J, ENS Lyon, Monod site. The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Program
Click on title for abstract.
9h009h30  Welcome  
9h3010h30  Albert Cohen (Inria) 
Deep learning models with convolutional and recurrent networks are
ubiquitous and analyze massive amounts of audio, image, video, text
and graph data, with applications in automatic translation,
speechtotext, scene understanding, ranking user preferences, ad
placement, etc. Competing frameworks for building these networks such
as TensorFlow, Chainer, CNTK, Torch/PyTorch, Caffe1/2, MXNet and
Theano, explore different tradeoffs between usability and
expressiveness, research or production orientation and supported
hardware. They operate on a DAG of computational operators, wrapping
highperformance libraries such as CUDNN (for NVIDIA GPUs) or NNPACK
(for various CPUs), and automate memory allocation, synchronization,
distribution. Custom operators are needed where the computation does
not fit existing highperformance library calls, usually at a high
engineering cost. This is frequently required when new operators are
invented by researchers. Such operators suffer a severe performance
penalty, which limits the pace of innovation. Furthermore, even if
there is an existing runtime call these frameworks can use, it often
does not offer optimal performance for a user's particular network
architecture and dataset, missing optimizations between operators as
well as specialization to the size and shape of data.
We will survey the workinprogress design of (1) a language close to the mathematics of deep learning called Tensor Comprehensions, featuring interesting developments in the areas of automatic range inference, declarative array programming, and dataflow modeling of recurrent networks; (2) a polyhedral JustInTime compiler to convert a mathematical description of a deep learning DAG into a CUDA kernel with delegated memory management and synchronization, also providing optimizations such as operator fusion and specialization for specific sizes; (3) a high level metaprogramming environment and compilation cache populated by an autotuner, acting as a builttoorder library. In a first paper, we demonstrate the suitability of the polyhedral framework to construct a domainspecific optimizer effective on stateoftheart deep learning models on GPUs. Our flow reaches up to 4x speedup over NVIDIA libraries on kernels relevant to the Machine Learning Community, and on an actual model used in production at Facebook. TC also facilitates algorithmic exploration, exposing up to 2 orders of magnitude speedup on research layers. It is open source, integrated with mainstream frameworks Caffe2 (productionoriented) and PyTorch (researchoriented). TC is still at an early stage, and looking for contributions and collaboration. https://research.fb.com/announcingtensorcomprehensions  
10h3011h00  Coffee break  
11h0011h45  Abdallah Arioua (LIRIS)  Repairing techniques for relational databases have leveraged integrity constraints to detect and then resolve errors in the data. User guidance has started to be employed in this setting to avoid a prohibitory exploration of the search space of solutions. In this paper, we present a userguided repairing technique for Knowledge Bases (KBs) enabling updates suggested by the users to resolve errors. KBs exhibit more expressive constraints with respect to relational tables, such as tuplegenerating dependencies (TGDs) and negative rules (a form of denial constraints). We consider TGDs and a notable subset of denial constraints, named contradiction detecting dependencies (CDDs). We propose userguided polynomialdelay algorithms that ensure the repairing of the KB in the extreme cases of interaction among these two classes of constraints. To the best of our knowledge, such interaction is so far unexplored even in repairing methods for relational data. We prove the correctness of our algorithms and study their feasibility in practical settings. We conduct an extensive experimental study on synthetically generated KBs and a realworld inconsistent KB equipped with TGDs and CDDs. We show the practicality of our proposed interactive strategies by measuring the actual delay time and the number of questions required in our interactive framework.  
11h4512h30  Guilhem Jaber (LIP)  This talk will present SyTeCi, the first general automated tool to check contextual equivalence for programs written in an higherorder language with references (i.e. local mutable states), corresponding to a fragment of OCaml.
After introducing the notion of contextual equivalence, we will see on some examples why it is hard to prove such equivalences (reentrant calls, private states). As we will see, such examples can be found in many different programming languages. Then, we will introduce SyTeCi, a tool to automatically check such equivalences. This tool is based on a reduction of the problem of contextual equivalence of two programs to the problem of reachability of “error states” in transition systems of memory configurations. Contextual equivalence being undecidable (even in a finitary setting), so does the nonreachability problem for such transition systems. However, one can apply modelchecking techniques (predicate abstraction, summarization of pushdown systems) to check nonreachability via some approximations. This allows us to prove automatically many nontrivial examples of the literature, that could only be proved by hand before. We will end this talk by the presentation of a prototype implementing this work. 
4th Edition, 2017, June, 1st
Information
The seminar will be hold at the Seminar room of the Centre Blaise Pascal (Access plan) The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Program
Click on title for abstract.
9h009h30  Welcome  
9h3010h15  Alain Darte (LIP)  Compiler code optimizations, and even manual code optimizations, rely on performance models, in general fairly simple analytic models, to drive the different optimization phases. They are certainly useful to provide methodologies, give ``grand principles'', but, when facing reality and approaching optimality, it is not clear how “good” they actually are. They can even drive us to wrong beliefs. In general, we (the community) are fairly bad at measuring the impact of these
models, especially in today's context, with such a range of computer architectures (from FPGA, GPU, vector multicores, to future exascale), with many levels of parallelism and data storage, and where bandwidth, pipelining, and locality are more important than pure computing power. I will give several examples of code optimizations where, if analytic models can provide reassuring metrics for theoretical work, they give very little information on actual performance improvements. I will also quickly present a more heuristic performance model, introduced by physicists, the ECM model, that is fairly useful to optimize codes for vector machines. With Thierry Dumont (from ICJ), we are currently developing an alternative to standard stencillike sparse computations with a better focus on exploiting vector operations as well as spatial and temporal data locality.“ 
10h1510h45  Coffee break  
10h4511h30  Eric Rutten et Gwenael Delaval (LIG)  Heptagon is a synchronous programming language, whose compilation involves discrete controller synthesis. It allows the programmer to express non determinism, by the use of controllable variables, associated with temporal properties the final program will satisfy. These temporal properties are enforced by a controller, automatically generated by a controller synthesis tool. We will present he Heptagon language, its semantics and compilation, and illustrates its use as a backend for CtrlF, a DSL for autonomic managers of reconfigurable software components. 
11h3013h30  Lunch  
13h3014h00  Xavier Urbain (LIRIS)  Mobile robot networks emerged in the past few years as a promising distributed computing model, and received increasing attention from the Distributed Computing community. On the one hand, the use of cooperative swarms of inexpensive robots to achieve various complex tasks in potentially hazardous environments is a promising option to reduce human and material costs and assess the relevance of Distributed Computing in a practical setting. On the other hand, execution model differences warrant extreme care when revisiting “classical results” from Distributed Computing, as very small changes in assumed hypotheses may completely change the feasibility of a particular problem.
I will present a formal proof framework for localised distributed protocols in mobile robotic networks, based on the Coq Proof Assistant. The framework allows for a relatively easy specification of context, protocols, and properties. It was successfully used to certify impossibility results, and to establish formally the correctness of distributed protocols. 
14h0014h30  Jérôme Richard (LIP)  Taskbased models are known to greatly enhance performance and performance portability while component models ease the separation of concerns and thus improves modularity and adaptability. In this talk, we present the COMET programming model, a component model for HPC extended with task concepts, and its implementation built on top OpenMP and L2C.
We evaluate the approach on five synthetic usecases representative of common patterns from HPC applications. Experimental results show that the approach is very efficient on the usecases. On one hand, independent software codes can be easily composed. On the other hand, finegrained composition supports very good performance. It sometimes even outperforms classical handwritten OpenMP implementations thank to better task interleaving. The presentation will also presents previous results conducted on a realworld usecase analysis of a subpart of the production application GYSELA. 
14h3015h00  Coffee break  
15h0015h30  Anupam Das (LIP)  Relational algebras provide important languages for reasoning about programs. In this talk I will present some axiomatisations and proof systems for Kleene algebra, in particular focussing on the importance of “analytic”systems, towards automated reasoning with relational expressions. I will present a methodology for handling least fixed points, such as transitive closure, that has recently become significant in proof theory: nonwellfounded reasoning. While this can be fallacious in general, correct reasoning can be ensured by 'fairness' criteria, and we can thus design classes of systems suitable for reasoning in these frameworks. 
3rd Edition, 2016, November, 3rd
Information
The seminar will be hold at the Seminar room of the Centre Blaise Pascal (Access plan) The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Preliminary Program
9h9h30  Welcome  
9h3010h15  Guillaume Salagnac (CITI)  Peripheral State Persistence For Transiently Powered Systems  
10h1510h45  Coffee break  
10h4511h30  Olivier Muller (TIMA)  An OpenMP flow targeting HPC systems with FPGA  
11h3013h00  Lunch  
13h0013h45  Paul Feautrier (LIP)  Toward a polynomial model, with application to the OpenStream Language (cont'd)  
13h4514h30  Christophe Alias et Laure Gonnord (LIP)  Estimation of Parallel Complexity with Rewriting Techniques  
14h3015h00  Coffee break  
15h0015h45  Romuald Thion (LIRIS)  Inference leakage detection for authorization policies over RDF data  
15h4516h30  Patrick Baillot (LIP)  On a typebased time complexity analysis of subrecursive programs 
2nd Edition, 2016, June 24th
Information
The seminar will be hold at the Buisson site of ENS Lyon, allée de Fontenay. The meeting is open to all members of the labs LIP, LIRIS, and CITI.
Program
9h9h30  Welcome  
9h3010h15  Damien Pous (LIP)  Tutorial Coq  
10h1511h00  Angela Bonifati (LIRIS)  Schema matching and mapping systems  
11h11h30  Coffee break  
11h3012h15  Matteo Mio (LIP)  Tutorial Markov Decision Processes / Stochastic Games  
–  
12h1513h45  Lunch break at Descartes CROUS  
–  
13h4514h30  Paul Feautrier (LIP)  Toward a polynomial model, with application to the OpenStream Language  
14h3015h15  Tomofumi Yuki (LIP)  Static Analysis of Parallel Programs with Loops, Tasks, and Synchronizations  
15h1515h45  Coffee break  
15h4516h30  Tanguy Risset (CITI)  Compilation de dataflow parametrique pour machines multicore heterogènes  
16h3017h15  Adrien BassoBlandin (LIP)  Model instantiation in KAMI 
1st Edition, 2016, March 17th
Information
The seminar had gathered 31 people, Thursday 17 March 2016, at résidence Villemanzy, 21 montée St Sébastien at Lyon, 1er arr. (http://www.belambravillemanzy.fr/fr/seminaires). The meeting was open to all members of the labs CITILIPLIRIS.
Program
9h9h15  Welcome  
9h1510h  Laure Gonnord et Lionel Morel (LIP/CITI)  Les langages flot de données dans tous leurs états  
10h10h30  Coffee break  
10h3011h15  Emmanuel Coquery (LIRIS)  Langages de requêtes en bases de données: tour d’horizon des différents paradigmes  
11h1511h45  Hélène Coullon (LIP)  The MultiStencil Language  
11h4512h15  Christian Perez (LIP)  Des langages d'assemblages dans les modèles à composants logiciels  
–  
12h1513h45  Lunch break  
–  
13h4514h30  Russ Harmer (LIP)  Executable knowledge  
14h3015h  Thierry Gautier (LIP)  Programmation et exécution d’algorithmes parallèles  
15h15h30  Coffee break  
15h3016h  Simon Castellan (LIP)  Weak memory models using event structures  
16h16h30  Arnaud Lefray (LIP)  Formalisation of security requirements 