Publications associées à Programmable Seizure Detector Using a 32-bit RISC Processor for Implantable Medical Devices

EdgeAI-Aware Design of In-Memory Computing Architectures

Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...

EPFL2024

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Implanted medical devices (IMDs) have been widely developed to support the monitoring and recording of biological data inside the body or brain. Wirelessly powered IMDs, a subset of implantable electronics, have been proposed to eliminate the limitations r ...

EPFL2024

Digital One-Shot Charge-balancing Method for Implantable Current-Mode Electrical Stimulation

Alexandre Schmid, Keyvan Farhang Razi

A low-power digital charge balancing system, which ensures the safe operation of constant-current biphasic stimulation is presented. The concept of the proposed charge-balancing technique is to utilize a hybrid method consisting of anodic pulse modulation ...

IEEE2023

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Keyvan Farhang Razi

Epilepsy is a common chronic neurological disorder that causes recurring seizures and affects more than 50 million people worldwide. Implantable medical devices (IMDs) are regarded as effective tools to cure patients who suffer from refractory epilepsy. Se ...

EPFL2023

Integrated Electronics for Deep Implants to Remotely Monitor Hemodynamics

Mustafa Besirli

The integration of technology in the medical field has greatly improved accuracy in diagnoses, thus leading to more effective treatments. Wearable and implantable medical devices offer great potential for remote patient monitoring, particularly for heart f ...

EPFL2023

Formula Normalizations in Verification

Viktor Kuncak, Mario Bucev, Simon Guilloud, Dragana Milovancevic

We propose a new approach for normalization and simplification of logical formulas. Our approach is based on algorithms for lattice-like structures. Specifically, we present two efficient algorithms for computing a normal form and deciding the word problem ...

2023

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

Mirjana Stojilovic, Hossein Asadi, Zeinab Seifoori

Despite FPGAs rapidly evolving to support the requirements of the most demanding emerging applications, their high static power consumption, concentrated within the routing resources, still presents a major hurdle for low-power applications. Augmenting the ...

2021

Programmable Logic Gates Based On Tunable Multistable Mechanisms

Simon Nessim Henein, Ilan Vardi, Mohamed Gamal Abdelrahman Ahmed Zanaty, Hubert Pierre-Marie Benoît Schneegans

Binary logic operations are the building blocks of computing machines. In this paper, we present a new programmable binary logic gate based on programmable multistable mechanisms (PMM), which are multistable structures whose stability behavior depends on m ...

AMER SOC MECHANICAL ENGINEERS2020

Reconfigurable Logic Gates Based on Programable Multistable Mechanisms

Simon Nessim Henein, Ilan Vardi, Mohamed Gamal Abdelrahman Ahmed Zanaty, Hubert Pierre-Marie Benoît Schneegans

Binary logic gates are building blocks of computing machines, in particular, electronic computers. One variant is the programable logic gate, also known as the reconfigurable logic gate, in which the logical function implemented can be modified. In this pa ...

2020

Fast Energy Estimation Through Partial Execution of HPC Applications

José Luis Ayala Rodrigo, Marina Zapater Sancho

In order to optimize the energy use of servers in Data Centers, techniques such as power capping or power budgeting are usually deployed. These techniques rely on the prediction of the power and execution time of applications. These data are obtained via d ...

IEEE2018

Secure numerical and logical multi party operations

Bin Lu

We derive algorithms for efficient secure numerical and logical operations in the semi-honest model ensuring statistical or perfect security for secure multi-party computation (MPC). To derive our algorithms for trigonometric functions, we use basic mathem ...

Elsevier Science Bv2017

Approximate FPGA Implementation of CORDIC for Tactile Data Processing using Speculative Adders

Christian Enz, Vincent Frédéric Camus

In most robotic and biomedical applications, the interest for real-time embedded systems with tactile ability has been growing. For example in prosthetics, a dedicated portable system is needed for developing wearable devices. The main challenges for such ...

2017

DynOR: A 32-bit Microprocessor in 28 nm FD-SOI with Cycle-By-Cycle Dynamic Clock Adjustment

Andreas Peter Burg, Lorenz Flavio Schmid, Jeremy Hugues-Felix Constantin, Andrea Bonetti, Adam Shmuel Teman, Thomas Christoph Müller

This paper presents DynOR, a 32-bit 6-stage OpenRISC microprocessor with dynamic clock adjustment. To alleviate the issue of unused dynamic timing margins, the clock period of the processor is adjusted on a cycle-by-cycle level, based on the instruction ty ...

Ieee2016

Microarchitectural Low-Power Design Techniques for Embedded Microprocessors

Jeremy Hugues-Felix Constantin

With the omnipresence of embedded processing in all forms of electronics today, there is a strong trend towards wireless, battery-powered, portable embedded systems which have to operate under stringent energy constraints. Consequently, low power consumpti ...

EPFL2016

Statistical Fault Injection for Impact-Evaluation of Timing Errors on Application Performance

Andreas Peter Burg, Georgios Karakonstantis, Jeremy Hugues-Felix Constantin, Anupam Chattopadhyay, Zheng Wang

This paper proposes a novel approach to modeling of gate level timing errors during high-level instruction set simulation. In contrast to conventional, purely random fault injection, our physically motivated approach directly relates to the underlying circ ...

ACM2016

Statistical Fault Injection for Impact-Evaluation of Timing Errors on Application Performance

Andreas Peter Burg, Georgios Karakonstantis, Jeremy Hugues-Felix Constantin, Anupam Chattopadhyay, Zheng Wang

This paper proposes a novel approach to modeling of gate level timing errors during high-level instruction set simulation. hi contrast to conventional, purely random fault injection, our physically motivated approach directly relates to the underlying circ ...

Ieee2016

A Time-Based, Digitally Intensive Circuit and System Architecture for Wireless Neural Recording with High Dynamic Range

Alexandre Schmid, Wen-Yang Hsu, Chen Cao

A new type of wireless neural recording front-end with PWM modulation and VCO-based ADC is proposed. The target signal is first encoded into binary levels with varying pulse width by PWM modulation, which intrinsically has much higher dynamic range compare ...

2016

Exploiting Dynamic Timing Margins in Microprocessors for Frequency-Over-Scaling with Instruction-Based Clock Adjustment

Andreas Peter Burg, Georgios Karakonstantis, Jeremy Hugues-Felix Constantin, Anupam Chattopadhyay

Static timing analysis provides the basis for setting the clock period of a microprocessor core, based on its worst-case critical path. However, depending on the design, this critical path is not always excited and therefore dynamic timing margins exist th ...

2015

Accelerators for Data Processing

Yusuf Onur Koçberber

The explosive growth in digital data and its growing role in real-time analytics motivate the design of high-performance database management systems (DBMSs). Meanwhile, slowdown in supply voltage scaling has stymied improvements in core performance and ush ...

EPFL2015

A Survey on Low-Power Techniques with Emerging Technologies: From Devices to Systems

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon

Nowadays, power consumption is one of the main limitations of electronic systems. In this context, novel and emerging devices provide us with new opportunities to keep the trend to low-power design. In this survey paper, we present a transversal survey on ...

Assoc Computing Machinery2015