Publications associées à Droplet-Based DNA Purification in a Magnetic Lab-on-a-Chip

Publications associées (31)

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Anastasia Ailamaki, Periklis Chrysogelos, Syed Mohammad Aunn Raza, Hamish Mcniece Hill Nicholson

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

2023

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Guilherme Migliato Marega

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

EPFL2023

Chaosity: Understanding Contemporary NUMA-architectures

Andreea Nica, Anastasia Ailamaki, Viktor Sanca, Syed Mohammad Aunn Raza, Hamish Mcniece Hill Nicholson

Modern hardware is increasingly complex, requiring increasing effort to understand in order to carefully engineer systems for optimal performance and effective utilization. Moreover, established design principles and assumptions are not portable to modern ...

2023

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Andreas Peter Burg, Reza Ghanaatian Jahromi

A method of accessing a memory space of a memory device with a decoder, the memory space having faults, including the steps of performing a memory access operation by an electronic device to a access a logical memory space of the memory device, and randomi ...

2022

On cavitation inception and cavitating flow patterns in a multi-orifice microfluidic device with a functional surface

Luis Guillermo Villanueva Torrijo

During the last decade, hydrodynamic cavitation has been implemented in various applications such as energy harvesting and biomedical applications. Facile hydrodynamic cavitation methods are required for fulfilling the requirements in these applications. I ...

AMER INST PHYSICS2021

Memory chip or memory array for wide-voltage range in-memory computing using bitline technology

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, William Andrew Simon

A random access memory having a memory array having a plurality of local memory groups, each local memory group including a plurality of bitcells arranged in a bitcell column, a pair of local bitlines operatively connected to the plurality of bitcells, a p ...

2021

Associativity-agnostic in-cache computing memory architecture optimized for multiplication

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Marco Antonio Rios

A random access memory array including a plurality of local memory group ways, each local memory group way including, a plurality of local memory groups, each local memory group including, a memory column including a plurality of memory cells, a pair of lo ...

2021

Gain-Cell Embedded DRAMs: Modeling and Design Space

Andreas Peter Burg, Robert Giterman, Andrea Bonetti, Adam Shmuel Teman

Among the different types of dynamic random-access memories (DRAMs), gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power, and CMOS-compatible alternative to conventional static random-access memory (SRAM). GC-eDRAM achieves high memory density, as i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

3D-Integration Of Printed Electrochemical Sensors In Pet Microfluidics For Biochemical Sensing

Danick Briand, Peter Van der Wal, Silvia Demuru

This paper presents a novel process for screen printed electrode fabrication, functionalization and integration in a polyethylene terephthalate (PET) fluidics system for electrochemical analysis. The innovative components utilized are: 1. 3D Through-Foil V ...

IEEE2019

Engineered Lateral Roughness Element Implementation and Working Fluid Alteration to Intensify Hydrodynamic Cavitating Flows on a Chip for Energy Harvesting

Luis Guillermo Villanueva Torrijo

Hydrodynamic cavitation is considered an effective tool to be used in different applications, such as surface cleaning, ones in the food industry, energy harvesting, water treatment, biomedical applications, and heat transfer enhancement. Thus, both charac ...

2019

Long-term imaging, automated high-content phenotyping and sorting of C. elegans larvae and embryos using microfluidic platforms

Hüseyin Baris Atakan

C. elegans is frequently studied to address fundamental biological questions motivated by its short life cycle, small size, hermaphrodite behavior and well-annotated genome. In this work, we present novel microfluidic platforms that support long-term cultu ...

EPFL2019

Fluorinated surfactants in droplet-based microfluidics: Influence of their composition on the properties of emulsion drops

Gianluca Nicolas Etienne

Miniaturization has been a driving force in many areas of science and technology, most notably in the electronics industry. Droplet-based microfluidics, a methode to produce emulsion drops in a controlled way and at high-throughputs, enables the miniaturiz ...

EPFL2019

A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications

Nicolas Claude Frigerio, Yusuf Leblebici, Andreas Peter Burg, Robert Giterman, Andrea Bonetti, Cosimo Aprile, Jonathan Emmanuel D Narinx

Logic-compatible gain-cell embedded DRAM (GC-eDRAM) is an emerging alternative to conventional SRAM for memory-dominated system-on-chip (SoC) designs due to its high-density, low-power, and two-ported operation. Although GCs have a limited data retention t ...

IEEE2019

Design Guidelines for High-Performance SCM Hierarchies

Babak Falsafi, Edouard Bugnion, Javier Picorel Obando, Alexandros Daglis, Mark Johnathon Sutherland, Dmitrii Ustiugov

With emerging storage-class memory (SCM) nearing commercialization, there is evidence that it will deliver the much-anticipated high density and access latencies within only a fewfactors of DRAM. Nevertheless, the latency-sensitive nature of memory-residen ...

ACM2018

Post-P&R Performance and Power Analysis for RRAM-based FPGAs

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang, Edouard Giacomin

Resistive Random Access Memory (RRAM)-based FPGAs are predicted to outperform conventional FPGAs architectures in area, delay and power over a wide range of voltage operations, allowing novel energy-quality trade-offs for reconfigurable computing. The oppo ...

2018

Microfluidic platforms for high-throughput mammalian cell printing, transfection, and dosage-dependent studies

Kristina Pan Woodruff

With the advent of high-throughput and genome-wide screening initiatives, there is a need for improved methods for cell-based assays. Current approaches require expensive equipment, rely on large-scale culturing formats not suited for small or rare sample ...

EPFL2017

The Mondrian Data Engine

Babak Falsafi, Boris Robert Grot, Javier Picorel Obando, Alexandros Daglis, Mario Paulo Drumond Lages De Oliveira, Dmitrii Ustiugov, Nooshin Sadat Mirzadeh

The increasing demand for extracting value out of ever-growing data poses an ongoing challenge to system designers, a task only made trickier by the end of Dennard scaling. As the performance density of traditional CPU-centric architectures stagnates, adva ...

2017

Efficient Sample Delay Calculation for 2-D and 3-D Ultrasound Imaging

Jean-Philippe Thiran, Giovanni De Micheli, Luca Benini, Marcel Arditi, Federico Angiolini, Aya Mohamed Naguib Ahmed Ibrahim

Ultrasound imaging is a reference medical diagnostic technique, thanks to its blend of versatility, effectiveness, and moderate cost. The core computation of all ultrasound imaging methods is based on simple formulae, except for those required to calculate ...

Ieee-Inst Electrical Electronics Engineers Inc2017

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

Near-Memory Address Translation

Javier Picorel Obando

Virtual memory (VM) is a crucial abstraction in modern computer systems at any scale, from handheld devices to datacenters. VM provides programmers the illusion of an always sufficiently large and linear memory, making programming easier. Although the core ...

EPFL2017