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Publications associées (27)

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

Imprecise Store Exceptions

Babak Falsafi, Mathias Josef Payer, Siddharth Gupta, Yunho Oh, Yuanlong Li, Abhishek Bhattacharjee, Qingxuan Kang

Precise exceptions are a cornerstone of modern computing as they provide the abstraction of sequential instruction execution to programmers while accommodating microarchitectural optimizations. However, increasing compute capabilities in deep memory hierar ...

ACM2023

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

Aleksandra Radenovic, Andras Kis, Zhenyu Wang, Yanfei Zhao, Mukesh Kumar Tripathi, Guilherme Migliato Marega, Hyungoo Ji, Asmund Kjellegaard Ottesen

Memory devices have returned to the spotlight due to increasing interest in using in-memory computing architectures to make data-driven algorithms more energy-efficient. One of the main advantages of this architecture is the efficient performance of vector ...

2023

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The performance of programs written in languages following the dataflow model of computation (MoC) largely depends on the configuration (partitioning, mapping, scheduling, buffer dimensioning) chosen during the synthesis stages. Furthermore, this programmi ...

2022

Prefetched Address Translation

Edouard Bugnion, Boris Robert Grot, Dmitrii Ustiugov

With explosive growth in dataset sizes and increasing machine memory capacities, per-application memory footprints are commonly reaching into hundreds of GBs. Such huge datasets pressure the TLB, resulting in frequent misses that must be resolved through a ...

ASSOC COMPUTING MACHINERY2019

Optimized Memory Access For Dynamically Scheduled High Level Synthesis

Paolo Ienne, Atri Bhattacharyya

Dynamically-scheduled elastic circuits generated by High-Level Synthesis (HLS) tools are inherently out-of-order, following the flow of data rather than the evolution of an instruction pointer. Components of the circuit which access memory need to be conne ...

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

Buffer dimensioning for throughput improvement of dynamic dataflow signal processing applications on multi-core platforms

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Malgorzata Maria Michalska

Executing a dataflow program on a parallel platform requires assigning to each buffer a given size so that correct program executions take place without introducing any deadlock. Furthermore, in the case of dynamic dataflow programs, specific buffer size a ...

2017

An Out-of-Order Load-Store Queue for Spatial Computing

Paolo Ienne, Philip Brisk, Lana Josipovic

The efficiency of spatial computing depends on the ability to achieve maximal parallelism. This necessitates memory interfaces that can correctly handle memory accesses that arrive in arbitrary order while still respecting data dependencies and ensuring ap ...

Assoc Computing Machinery2017

Fabrication, Characterization and Integration of Resistive Random Access Memories

Jury Sandrini

The functionalities and performances of today's computing systems are increasingly dependent on the memory block. This phenomenon, also referred as the Von Neumann bottleneck, is the main motivation for the research on memory technologies. Despite CMOS tec ...

EPFL2017

Photon-Counting Arrays for Time-Resolved Imaging

Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Samuel Burri

The paper presents a camera comprising 512 x 128 pixels capable of single-photon detection and gating with a maximum frame rate of 156 kfps. The photon capture is performed through a gated single-photon avalanche diode that generates a digital pulse upon p ...

MDPI2016

Performance Estimation Based Multicriteria Partitioning Approach for Dynamic Dataflow Programs

Marco Mattavelli, Nicolas Zufferey, Malgorzata Maria Michalska

The problem of partitioning a dataflow program onto a target architecture is a difficult challenge for any application design. In general, since the problem is NP-complete, it consists of looking for high quality solutions in terms of maximizing the achiev ...

Hindawi Limited2016

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures

Marco Mattavelli, Endri Bezati, Nicolas Zufferey, Malgorzata Maria Michalska

The implementations of signal processing systems on the emerging many-core or multi-core processing platforms require to solve a very difficult problem: how to partition and schedule the processing tasks according to given optimization functions such as da ...

2016

Memory Systems and Interconnects for Scale-Out Servers

Stavros Volos

The information revolution of the last decade has been fueled by the digitization of almost all human activities through a wide range of Internet services. The backbone of this information age are scale-out datacenters that need to collect, store, and proc ...

EPFL2015

Synthesis and Optimization of Pipelines for HW Implementations of Dataflow Programs

Marco Mattavelli, Endri Bezati, Ab Al Hadi Bin Ab Rahman, Anatoly Prihozhy

This paper introduces a new methodology for pipeline synthesis with applications to data flow high-level system design. The pipeline synthesis is applied to dataflow programs whose operators are translated into graphs and dependencies relations that are th ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Dataflow Programs Analysis and Optimization Using Model Predictive Control Techniques. Two Examples of Bounded Buffer Scheduling: Deadlock Avoidance and Deadlock Recovery Strategies

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The analysis of the trace graphs generated by dataflow program executions has been shown to be an effective tool for exploring and optimizing the design space of application programs on manycore/multicore platforms. In this work a new approach aiming at fi ...

Springer2015

A paradox of eventual linearizability in shared memory

Rachid Guerraoui

This paper compares, for the rst time, the computational power of linearizable objects with that of eventually linearizable ones. We present the following paradox. We show that, unsurprisingly, no set of eventually linearizable objects can (1) implement an ...

ACM Press2014

Generalized programmable counter arrays

Philip Brisk, Alessandro Cevrero, Hadi Parandeh Afshar

A Generalized Programmable Counter Array (GPCA) is a reconfigurable multi-operand adder, which can be reprogrammed to sum a plurality of operands of arbitrary size. The GPCA is configured to compress the input words down to two operands using parallel coun ...

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

Partitioning And Optimization Of High Level Stream Applications For Multi Clock Domain Architectures

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Claudio Paolo Alberti

In this paper we propose a design methodology to partition dataflow applications on a multi clock domain architecture. This work shows how starting from a high level dataflow representation of a dynamic program it is possible to reduce the overall power co ...

Ieee2013