Publications related to PowerPC

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

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

Alexandre Schmid, Keyvan Farhang Razi

A programmable patient-customized epileptic seizure detector is proposed in this paper to enable neurologists and patients to have constructive interactions with the implantable medical device. The programmability feature is enabled by designing a low-powe ...

IEEE2023

RDS: FPGA Routing Delay Sensors for Effective Remote Power Analysis Attacks

Mirjana Stojilovic, Ognjen Glamocanin, David Spielmann

State-of-the-art sensors for measuring FPGA voltage fluctuations are time-to-digital converters (TDCs). They allow detecting voltage fluctuations in the order of a few nanoseconds. The key building component of a TDC is a delay line, typically implemented ...

2023

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

Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors

Christian Enz, Assim Boukhayma, Antonino Caizzone, Andrea Kraxner, Minhao Yang, Daniel Mathias Bold

This paper compares two in-pixel source follower stage designs for low noise CMOS image sensors embedded both on a same 5 mm by 5 mm chip fabricated in a 180 nm CIS process. The presented chip embeds two pixel variants, one based on a body-effect-canceled ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices

David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger

Edge-computing requires high-performance energy-efficient embedded systems. Fixed-function or custom accelerators, such as FFT or FIR filter engines, are very efficient at implementing a particular functionality for a given set of constraints. However, the ...

ASSOC COMPUTING MACHINERY2022

DFAulted: Analyzing and Exploiting CPU Software Faults Caused by FPGA-Driven Undervolting Attacks

Mirjana Stojilovic, Dina Gamaleldin Ahmed Shawky Mahmoud, David Dervishi

Field-programmable gate arrays (FPGAs) combine hardware reconfigurability with a high degree of parallelism. Consequently, FPGAs offer performance gains and power savings for many applications. A recent trend has been to leverage the hardware versatility o ...

2022

Enhancement-mode Multi-channel AlGaN/GaN Transistors with LiNiO Junction Tri-Gate

Elison de Nazareth Matioli, Luca Nela, Taifang Wang

Multi-channel GaN power device, consisting of stacking multiple two-dimensional-electron-gas (2DEG) channels, has been demonstrated to achieve unprecedented on-state performance while maintaining high breakdown voltage (VBR). However, the large carrier den ...

Institute of Electrical and Electronics Engineers2022

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

Micro-architectural Analysis of Database Workloads

Utku Sirin

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

EPFL2021

Characterization and Modeling of Total Ionizing Dose Effects on Nanoscale MOSFETs for Particle Physics Experiments

Chunmin Zhang

Total ionizing radiation compromises electrical characteristics of microelectronic devices and even causes functional failures of integrated circuits. It has been identified as a potential threat to electronic components, especially those in high-energy ph ...

EPFL2021

Closing Leaks: Routing Against Crosstalk Side-Channel Attacks

Mirjana Stojilovic, Seyedeh Sharareh Mirzargar, Zeinab Seifoori

This paper presents an extension to PathFinder FPGA routing algorithm, which enables it to deliver FPGA designs free from risks of crosstalk attacks. Crosstalk side-channel attacks are a real threat in large designs assembled from various IPs, where some I ...

2020

Current-Based Data-Retention-Time Characterization of Gain-Cell Embedded DRAMs Across the Design and Variations Space

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

The rise of data-intensive applications has resulted in an increasing demand for high-density and low-power on-chip embedded memories. Gain-cell embedded DRAM (GC-eDRAM) is a logic-compatible alternative to conventional static random access memory (SRAM) w ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Minimum Energy Point in Constant Frequency Designs under Adaptive Supply Voltage and Body Bias Adjustment in 55 nm DDC

Andreas Peter Burg, David Ruffieux

In this paper, we describe a systematic low-power design methodology for technologies that offer a strong body factor. Specifically, we explore both the body bias voltage and the supply voltage knobs in order to find the MEP (minimum energy point) for a co ...

IEEE2019

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

IEEE2019

High-Voltage Normally-off Recessed Tri-Gate GaN Power MOSFETs With Low on-Resistance

Elison de Nazareth Matioli, Jun Ma, Minghua Zhu, Luca Nela, Catherine Erine

In this letter, we present normally-off GaN-on-Si MOSFETs based on the combination of tri-gate with a short barrier recess to yield a large positive threshold voltage (VTH) while maintaining a low specific on resistance (R ON,SP ) and high current density ...

Institute of Electrical and Electronics Engineers2019

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

2019

Data stream statistics over sliding windows: How to summarize 150 Million updates per second on a single node

Odysseas Papapetrou, Grigorios Chrysos, Dionysios Pnevmatikatos

Traditional data management systems map information using centralized and static data structures. Modern applications need to process in real time datasets much larger than system memory. To achieve this, they use dynamic entities that are updated with str ...

2019

A high sensitivity low-power capacitive front-end for insulin injection pens

Maher Kayal, François Krummenacher, Jean-Baptiste Robert Orhan, François Pierre Gaugaz

A low-power 14-bits first order incremental Analog-to-Digital Converter (ADC) is presented. Based on the charge balancing principle, this switched-capacitor (SC) circuit integrates the input signal multiple times to reach the targeted resolution, linearity ...

ELSEVIER SCI LTD2019

Scaling Printable Zn-Ag2O Batteries for Integrated Electronics

Vivek Subramanian

Printed batteries are an emerging solution for integrated energy storage using low-cost, high accuracy fabrication techniques. While several printed batteries have been previously shown, few have designed a battery that can be incorporated into an integrat ...

WILEY-V C H VERLAG GMBH2019