Concept

Tool Command Language

Publications associées (27)

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Artificial intelligence, particularly the subfield of machine learning, has seen a paradigm shift towards data-driven models that learn from and adapt to data. This has resulted in unprecedented advancements in various domains such as natural language proc ...

EPFL2023

Attestable Software Versioning for Stateful Confidential Computing

Edouard Bugnion, Charly Nicolas Lucien Castes

Trusted execution environments enable the creation of confidential and attestable enclaves that exclude the platform and service providers from the trusted base. From its initial attestable state, a stateful enclave such as a confidential database can hold ...

2022

Trust as a Programming Primitive

Adrien Ghosn

Programming has changed; programming languages have not.Modern software embraced reusable software components, i.e., public libraries, and runs in the cloud, on machines that co-locate applications from various origins.This new programming paradigm leads t ...

EPFL2021

Unifying Analytic and Statically-Typed Quasiquotes

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Metaprograms are programs that manipulate (generate, analyze and evaluate) other programs. These tasks are greatly facilitated by quasiquotation, a technique to construct and deconstruct program fragments using quoted code templates expressed in the syntax ...

2018

Object-Oriented Recovery for Non-volatile Memory

James Richard Larus, David Teksen Aksun, Nachshon Cohen

New non-volatile memory (NVM) technologies enable direct, durable storage of data in an application's heap. Durable, randomly accessible memory facilitates the construction of applications that do not lose data at system shutdown or power failure. Existing ...

ACM2018

Initialization patterns in Dotty

Martin Odersky, Fengyun Liu

Safe object initialization is important to avoid a category of runtime errors in programming languages. In this paper, we provide a case study of the initialization patterns on the Dotty compiler. In particular, we find that calling dynamic-dispatching met ...

2018

Interleaving with coroutines: a systematic and practical approach to hide memory latency in index joins

Anastasia Ailamaki, Georgios Psaropoulos

Index joins present a case of pointer-chasing code that causes data cache misses. In principle, we can hide these cache misses by overlapping them with computation: The lookups involved in an index join are parallel tasks whose execution can be interleaved ...

2018

Quoted Staged Rewriting: A Practical Approach to Library-Defined Optimizations

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Staging has proved a successful technique for programmatically removing code abstractions, thereby allowing for faster program execution while retaining a high-level interface for the programmer. Unfortunately, techniques based on staging suffer from a num ...

ACM2017

Squid: Type-Safe, Hygienic, and Reusable Quasiquotes

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Quasiquotes have been shown to greatly simplify the task of metaprogramming. This is in part because they hide the data structures of the intermediate representation (IR), instead allowing metaprogrammers to use the concrete syntax of the language they man ...

ACM2017

Improving Scalability of Symbolic Execution for Software with Complex Environment Interfaces

Stefan Bucur

Manual software testing is laborious and prone to human error. Yet, among practitioners, it is the most popular method for quality assurance. Automating the test case generation promises better effectiveness, especially for exposing corner-case bugs. Symbo ...

EPFL2015

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search