Improving the Performance of Scala Collections with Miniboxing
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.
Modern computing has adopted the floating point type as a default way to describe computations with real numbers. Thanks to dedicated hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...
Whitebox fuzzing is a novel form of security testing based on runtime symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found dozens of new security vulnerabilities (buffer overflows) in Windows and Linux appli ...
Whitebox fuzzing is a novel form of security testing based on dynamic symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found many new security vulnerabilities (buffer overflows) in Windows and Linux applicatio ...
Concepts and technologies are described herein for determining memory safety of floating-point computations. The concepts and technologies described herein analyze code to determine if any floating-point computations exist in the code, and if so, if the fl ...
Modern programming languages have adopted the floating point type as a way to describe computations with real numbers. Thanks to the hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...
In perceptual learning, performance usually improves when observers train with one type of stimulus, for example, a bisection stimulus. Roving denotes the situation when, instead of one, two or more types of stimuli are presented randomly interleaved, for ...
Performance usually improves when observers train with one type of a visual stimulus. Roving denotes the situation when, instead of one, two or more types of stimuli are presented randomly interleaved (one per trial). For some stimulus types, performance i ...
Association for Research in Vision and Ophthalmology2008
Biphasic electrospray ionization (BESI) mass spectrometry is achieved by using a dual-channel microsprayer, where channels filled with different immiscible phases meet at the Taylor cone. Two types of interfacial complexation reactions have been studied: t ...
The Japan Society of Analytical Chemistry / The Japan Society for Analytical Chemistry2008
In this paper, we demonstrate fixed-point FPGA implementations of state space systems using Particle Filters, especially multi-target beating and range tracking systems. These trackers operate either as independent organic trackers or as a joint tracker to ...
Visual backward masking is a commonly used technique in vision research and psychology. There are two distinct types of masking. Either masking is strongest for a simultaneous presentation of the target and the mask (A-type masking) or masking is strongest ...
Association for Research in Vision and Ophthalmology2009
