Publications associées à Génération de code natif

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

Compilers assure that any produced optimized code is semantically equivalent to the original code. However, even "correct" compilers may introduce security bugs as security properties go beyond translation correctness. Security bugs introduced by such corr ...

Berkeley2023

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

Efficient GPU-accelerated Join Optimization for Complex Queries

Anastasia Ailamaki, Bikash Chandra, Srinivas Karthik Venkatesh, Riccardo Mancini, Vasileios Mageirakos

Analytics on modern data analytic and data warehouse systems often need to run large complex queries on increasingly complex database schemas. A lot of progress has been made on executing such complex queries using techniques like scale out query processin ...

IEEE2022

Proof of Multi-Stage Programming with Generative and Analytical Macros

Martin Odersky, Nicolas Alexander Stucki, Jonathan Immanuel Brachthäuser

In metaprogramming, code generation and code analysis are complementary. Traditionally, principled metaprogramming extensions for programming languages, like MetaML and BER MetaOCaml, offer strong foundations for code generation but lack equivalent support ...

EPFL2021

From Boolean functions to quantum circuits: A scalable quantum compilation flow in C++

Giovanni De Micheli, Fereshte Mozafari Ghoraba, Heinz Riener, Giulia Meuli, Bruno Schmitt Antunes

We propose a flow for automated quantum compila- tion. Our flow takes a Boolean function implemented in Python as input and translates it into a format appropriate for reversible logic synthesis. We focus on two quantum compilation tasks: uniform state pre ...

2021

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Felix Schürmann, James Gonzalo King, Michael Lee Hines, Pramod Shivaji Kumbhar, Jorge Blanco Alonso, Omar Awile, Liam Roger George Keegan

Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit domain knowledge for the generation of more efficient code on target architectures. Here, we describe a new c ...

Springer2020

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

Anastasia Ailamaki

When the time comes to make a critical decision, it is of paramount importance to prepare enough so that all the information necessary is available at decision time. Under-preparation leads to uninformed decisions; over-preparation, however, may lead to co ...

ASSOC COMPUTING MACHINERY2020

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Blagovesta Hristova Kostova, Wei Dai

Fully-Homomorphic Encryption (FHE) offers powerful capabilities by enabling secure offloading of both storage and computation, and recent innovations in schemes and implementations have made it all the more attractive. At the same time, FHE is notoriously ...

ASSOC COMPUTING MACHINERY2020

Compiler Generation for Performance-Oriented Embedded DSLs (Short Paper)

Christoph Koch, Amir Shaikhha, Vojin Jovanovic

In this paper, we present a framework for generating optimizing compilers for performance-oriented embedded DSLs (EDSLs). This framework provides facilities to automatically generate the boilerplate code required for building DSL compilers on top of the ex ...

ASSOC COMPUTING MACHINERY2019

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Génération de code natif

Scalable Metaprogramming in Scala 3

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Efficient GPU-accelerated Join Optimization for Complex Queries

Proof of Multi-Stage Programming with Generative and Analytical Macros

From Boolean functions to quantum circuits: A scalable quantum compilation flow in C++

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Compiler Generation for Performance-Oriented Embedded DSLs (Short Paper)

Graph Chatbot

Chattez avec Graph Search

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

Proof of Multi-Stage Programming with Generative and Analytical Macros

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Compiler Generation for Performance-Oriented Embedded DSLs (Short Paper)

Scalable Metaprogramming in Scala 3

Efficient GPU-accelerated Join Optimization for Complex Queries

From Boolean functions to quantum circuits: A scalable quantum compilation flow in C++