Droplet-Based DNA Purification in a Magnetic Lab-on-a-Chip

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Design Guidelines for High-Performance SCM Hierarchies

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

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, Xifan Tang, Pierre-Emmanuel Julien Marc Gaillardon, 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, Alexandros Daglis, Javier Picorel Obando, Mario Paulo Drumond Lages De Oliveira, Dmitrii Ustiugov, Dionysios Pnevmatikatos, 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, Federico Angiolini, Marcel Arditi, 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

Power, Area, and Performance Optimization of Standard Cell Memory Arrays Through Controlled Placement

Andreas Peter Burg, Adam Shmuel Teman, Luca Benini, Pascal Andreas Meinerzhagen

Embedded memory remains a major bottleneck in current integrated circuit design in terms of silicon area, power dissipation, and performance; however, static random access memories (SRAMs) are almost exclusively supplied by a small number of vendors throug ...

Association for Computing Machinery2016

Multilevel-cell phase-change memory : modeling and reliability framework

Aravinthan Athmanathan

In the modern digital era of big data applications, there is an ever-increasing demand for higher memory capacity that is both reliable and cost effective. In the domain of non-volatile memory systems, Flash-based storage devices have dominated the consume ...

EPFL2016

Microfluidic staining technology and automated image processing for fast and accurate tissue-based diagnostics

Diego Gabriel Dupouy

The development of microfluidics has led to significant improvements in many areas of in vitro diagnostics. This thesis proposes the use of microfluidic device technology in the field of anatomic pathology, leading to faster and more accurate tissue-based ...

EPFL2016

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