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Branchement

Publications associées (25)

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

Alexandre Massoud Alahi

Prediction is a vital component of motion planning for autonomous vehicles (AVs). By reasoning about the possible behavior of other target agents, the ego vehicle (EV) can navigate safely, efficiently, and politely. However, most of the existing work overl ...

IEEE Institute of Electrical and Electronics Engineers2024

Micro BTB: A High Performance and Storage Efficient Last-Level Branch Target Buffer for Servers

Vishal Gupta

High-performance branch target buffers (BTBs) and the L1I cache are key to high-performance front-end. Modern branch predictors are highly accurate, but with an increase in code footprint in modern-day server workloads, BTB and L1I misses are still frequen ...

ASSOC COMPUTING MACHINERY2022

Boosting Efficiency of External Pipelines by Blurring Application Boundaries

Anastasia Ailamaki, Periklis Chrysogelos, Anna Patricia Herlihy

Modern application development addresses increasingly specialized problems using domain-specific utilities, such as Optical Code Recognition and standalone statistical tools. The diversity of tooling, combined with the ever-growing volume of data, requires ...

2022

Admissibility of Uncertain Injections in Quadratic Algebraic Systems

Jean-Yves Le Boudec, Cong Wang, Eleni Stai

We study the admissibility problem in multivariate algebraic systems, such as ac electrical networks, where the power injection is quadratic in the state. The goal of such systems is to ensure that the state stays in some security set (e.g., magnitudes of ...

2021

Micro-architectural Analysis of Database Workloads

Utku Sirin

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

EPFL2021

Analytical Computation of Power Grids’ Sensitivity Coefficients with Voltage-Dependent Injections

Mario Paolone, Sherif Alaa Salaheldin Fahmy

With the increasing need of real-time regulation in power systems, grid-aware-control-frameworks are relying more often on sensitivity coefficients (SCs) to formulate and efficiently solve optimal control problems. As known, SCs are the derivatives of cont ...

IEEE2021

OPF-driven Under Frequency Load Shedding in Low-Inertia Power Grids Hosting Large-scale Battery Energy Storage Systems

Mario Paolone, Asja Derviskadic, Yihui Zuo

The paper describes the formulation and application of an Optimal Power Flow (OPF)-driven Under Frequency Load Shedding (UFLS) scheme in low-inertia power grids hosting large-scale battery energy storage systems. Thanks to the accurate prediction of the sy ...

IEEE2021

Pipeline Synthesis and Optimization from Branched Feedback Dataflow Programs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Anatoly Prihozhy

Large dataflow designs are a result of behavioral specification of modern complex digital systems and/or a result of unfolding and transforming looped and branched programs. Since deep-submicron silicon technology provides large amounts of available resour ...

SPRINGER2020

Efficient Dynamic Optimisation Heuristics for Dataflow Pipelines

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Anatoly Prihozhy

Large dataflow designs appear as a result of functional specification of modern complex digital systems and/ or a result of unfolding and behavioral transformation of looped and branched programs. Since deep-submicron silicon technology provides large amou ...

IEEE2018

A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu, Kyuhwa Lee, Dong Liu

This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two d ...

Elsevier2017

When Constant-time Source Yields Variable-time Binary: Exploiting Curve25519-donna Built with MSVC 2015

Serge Vaudenay

The elliptic curve Curve25519 has been presented as pro- tected against state-of-the-art timing attacks [2]. This paper shows that a timing attack is still achievable against a particular X25519 implemen- tation which follows the RFC 7748 requirements [11] ...

Springer Int Publishing Ag2016

Lyapunov Exponents for Branching Processes in a Random Environment: The Effect of Information

Sophie Myriam Hautphenne

We consider multitype branching processes evolving in a Markovian random environment. To determine whether or not the branching process becomes extinct almost surely is akin to computing the maximal Lyapunov exponent of a sequence of random matrices, which ...

Springer Verlag2016

Instruction Set Extensions for Secure Applications

Paolo Ienne, Francesco Regazzoni

The main goal of this paper is to expose the community to past achievements and future possible uses of Instruction Set Extension (ISE) in security applications. Processor customization has proven to be an effective way for achieving high performance with ...

Ieee2016

Micro-architectural Analysis of In-memory OLTP

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Utku Sirin

Micro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP mostly under-utilize the available micro-architectural ...

2016

Shared Frontend for Manycore Server Processors

Ilknur Cansu Kaynak

Instruction-supplymechanisms, namely the branch predictors and instruction prefetchers, exploit recurring control flow in an application to predict the applicationâ s future control flow and provide the core with a useful instruction stream to execute in ...

EPFL2015

Biconditional Binary Decision Diagrams: A Novel Canonical Logic Representation Form

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù

In this paper, we present biconditional binary deci- sion diagrams (BBDDs), a novel canonical representation form for Boolean functions. BBDDs are binary decision diagrams where the branching condition, and its associated logic expansion, is biconditional ...

2014

Addressing Conditioning Data in Multiple-Point Statistics Simulation Algorithms Based on a Multiple Grid Approach

Duccio Malinverni

Multiple-point statistics (MPS) allows simulations reproducing structures of a conceptual model given by a training image (TI) to be generated within a stochastic framework. In classical implementations, fixed search templates are used to retrieve the patt ...

Springer Heidelberg2014

Interactive Learning from Unlabeled Instructions

Inaki Asier Iturrate Gil

Interactive learning deals with the problem of learning and solving tasks using human instructions. It is common in human-robot interaction, tutoring systems, and in human-computer interfaces such as brain-computer ones. In most cases, learning these tasks ...

2014

STREX: Boosting Instruction Cache Reuse in OLTP Workloads Through Stratified Transaction Execution

Anastasia Ailamaki, Pinar Tözün

Online transaction processing (OLTP) workload performance suffers from instruction stalls; the instruction footprint of a typical transaction exceeds by far the capacity of an L1 cache, leading to ongoing cache thrashing. Several proposed techniques remove ...

2013

Alternating Control Flow Reconstruction

Johannes Kinder

Unresolved indirect branch instructions are a major obstacle for statically reconstructing a control flow graph (CFG) from machine code. If static analysis cannot compute a precise set of possible targets for a branch, the necessary conservative over-appro ...

Springer2012