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Concept

Architecture de mémoire à multiples canaux

Publications associées (29)

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

David Atienza Alonso, Giovanni Ansaloni, Alireza Amirshahi

The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles the ensuing challenges by designing processors and accelerators tailored for t ...

2024

Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis

Gian Luca Barbruni

Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...

EPFL2023

A 500 x 500 Dual-Gate SPAD Imager With 100% Temporal Aperture and 1 ns Minimum Gate Length for FLIM and Phasor Imaging Applications

Edoardo Charbon, Claudio Bruschini, Arin Can Ülkü, Andrei Ardelean, Paul Mos, Michael Alan Wayne

In this article, we report on SwissSPAD3 (SS3), a 500 x 500 pixel single-photon avalanche diode (SPAD) array, fabricated in 0.18-mu m CMOS technology. In this sensor, we introduce a novel dual-gate architecture with two contiguous temporal windows, or gate ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Sampling-Based AQP in Modern Analytical Engines

Anastasia Ailamaki, Viktor Sanca

As the data volume grows, reducing the query execution times remains an elusive goal. While approximate query processing (AQP) techniques present a principled method to trade off accuracy for faster queries in analytics, the sample creation is often consid ...

ACM2022

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan, Darong Huang, Luis Maria Costero Valero

Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...

2022

Gyrokinetic simulations on many- and multi-core architectures with the global electromagnetic Particle-In-Cell Code ORB5

Laurent Villard, Stephan Brunner, Emmanuel Lanti, Noé Thomas Elie Ohana, Claudio Gheller

Gyrokinetic codes in plasma physics need outstanding computational resources to solve increasingly complex problems, requiring the effective exploitation of cutting-edge HPC architectures. This paper focuses on the enabling of ORB5, a state-of-the-art, fir ...

2021

Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors

David Atienza Alonso, Amir Aminifar, Miguel Peon Quiros, Adriana Arza Valdes, Elisabetta De Giovanni

In the recent Internet-of-Things (IoT) era where biomedical applications require continuous monitoring of relevant data, edge computing keeps gaining more and more importance. These new architectures for edge computing include multi-core and parallel compu ...

2021

Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Luis Maria Costero Valero

The advent of online video streaming services along with the users' demand for high-quality contents require High Efficiency Video Coding (HEVC), which provides higher quality and compression at the cost of increased complexity. On one hand, HEVC exposes a ...

2020

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Edoardo Charbon, Ivan Michel Antolovic, Chunmin Zhang, Scott Anthony Lindner, Juan Mata Pavia

A 252 x 144 single-photon avalanche diode (SPAD) pixel sensor, called Ocelot, is reported for light detection and ranging (LiDAR). The sensor, fabricated in the 180-nm CMOS technology, features 1728 12-bit time-to-digital converters (TDCs) with 48.8-ps res ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Hardware-conscious Hash-Joins on GPUs

Anastasia Ailamaki, Raja Appuswamy, Manolis Karpathiotakis, Periklis Chrysogelos, Panagiotis Sioulas

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

IEEE2019

Milkomeda: Safeguarding the Mobile GPU Interface Using WebGL Security Checks

Mathias Josef Payer

GPU-accelerated graphics is commonly used in mobile applications. Unfortunately, the graphics interface exposes a large amount of potentially vulnerable kernel code (i.e., the GPU device driver) to untrusted applications. This broad attack surface has resu ...

ASSOC COMPUTING MACHINERY2018

Fat Caches For Scale-Out Servers

Babak Falsafi, Boris Robert Grot, Stavros Volos, Dorde Jevdic

The authors propose a high-capacity cache architecture that leverages emerging high-bandwidth memory modules. High-capacity caches capture the secondary data working sets of scale-out workloads while uncovering significant spatiotemporal locality across da ...

Institute of Electrical and Electronics Engineers2017

Design Techniques for Ultra High Frequency Clock Generation in 28 nm FDSOI Technology

Hasene Gülperi Özsema

Twentieth century has been the golden age of semiconductor industry by achieving a high level of growth as a courtesy of developments in fabrication techniques and downscaling of the technology. Since the downscaling in current lithography technology is re ...

EPFL2017

Near-Memory Address Translation

Babak Falsafi, Javier Picorel Obando, Dorde Jevdic

Memory and logic integration on the same chip is becoming increasingly cost effective, creating the opportunity to offload data-intensive functionality to processing units placed inside memory chips. The introduction of memory-side processing units (MPUs) ...

Ieee2017

An Ultra-Low Power NVM-Based Multi-Core Architecture for Embedded Bio Signal Processing

David Atienza Alonso, Ruben Braojos Lopez

Healthcare delivery is evolving towards new Wireless Body Sensor Nodes (WBSN), which are miniaturized devices able to acquire, process and transmit subjects’ bio-signals in real time within a tiny energy budget. Recent efforts on AD converters and transmis ...

2016

Scaling Up Concurrent Analytical Workloads on Multi-Core Servers

Iraklis Psaroudakis

Today, an ever-increasing number of researchers, businesses, and data scientists collect and analyze massive amounts of data in database systems. The database system needs to process the resulting highly concurrent analytical workloads by exploiting modern ...

EPFL2016

On the Performance of Delegation over Cache-Coherent Shared Memory

André Schiper, Thomas Ropars, Darko Petrovic

Delegation is a thread synchronization technique where access to shared data is performed through a dedicated server thread. When a client thread requires shared data access, it makes a request to a server and waits for a response. This paper studies deleg ...

2015

QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate nnicroelectrode arrays

Michele Giugliano

Micro-Electrode Arrays (MEAs) have emerged as a mature technique to investigate brain (dys)functions in vivo and in in vitro animal models. Often referred to as "smart" Petri dishes, MEAs have demonstrated a great potential particularly for medium-throughp ...

Frontiers Research Foundation2014

Ultra-Low Power Multicore Architecture For Parallel Biomedical Signal Processing

David Atienza Alonso, Andreas Peter Burg, Jeremy Hugues-Felix Constantin, Ahmed Yasir Dogan

A multi-core architecture with ultra-low power consumption is needed for a wide variety of applications, especially in the bio-medical domain. In this patent, an ultra-low power multi-core architecture is presented: it is composed of one or more cores, sev ...

2014

A 110mW 6 Bit 36GS/S Interleaved SAR ADC for 100 GBE Occupying 0.048mm2 in 32nm SOI CMOS

Yusuf Leblebici, Thomas Toifl, Lukas Kull

An area- and power-optimized asynchronous 32x interleaved SAR ADC achieving 36 GS/s at 110mW and 1V supply on the interleaver and 0.9V on the SAR ADCs is presented. The ADC features a 2-channel interleaver with data demultiplexing for enhanced bandwidth, a ...

2014