40 citations · 107 across the 14 of their papers we have counts for
16 papers
Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection
Zichao Shen, Jose Nunez-Yanez, Naim Dahnoun
This study explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and came…
EnergyAnalyzer: Using Static WCET Analysis Techniques to Estimate the Energy Consumption of Embedded Applications
Simon Wegener, Kris K. Nikov, Jose Nunez-Yanez +1
This paper presents EnergyAnalyzer, a code-level static analysis tool for estimating the energy consumption of embedded software based on statically predictable hardware events. Th…
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
Zichao Shen, Neil Howard, Jose Nunez-Yanez
This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accura…
Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite
Jose Nunez-Yanez, Andres Otero, Eduardo de la Torre
In this paper, we present a dynamically reconfigurable hardware accelerator called FADES (Fused Architecture for DEnse and Sparse matrices). The FADES design offers multiple config…
Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis
Kris Nikov, Kyriakos Georgiou, Zbigniew Chamski +2
Energy modelling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processor…
Robust and accurate fine-grain power models for embedded systems with no on-chip PMU
Kris Nikov, Marcos Martinez, Simon Wegener +4
This paper presents a novel approach to event-based power modelling for embedded platforms that do not have a Performance Monitoring Unit (PMU). The method involves complementing t…
Evaluation of hybrid run-time power models for the ARM big.LITTLE architecture
Kris Nikov, Jose L. Nunez-Yanez, Matthew Horsnell
Heterogeneous processors, formed by binary compatible CPU cores with different microarchitectures, enable energy reductions by better matching processing capabilities and software…
High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip
Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo +3
This paper presents a methodology for simultaneous heterogeneous computing, named ENEAC, where a quad core ARM Cortex-A53 CPU works in tandem with a preprogrammed on-board FPGA acc…
Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling
Jose Nunez-Yanez, Kris Nikov, Kerstin Eder +1
This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters…
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems
Demetrios A. M. Coutinho, Daniele De Sensi, Arthur Francisco Lorenzon +4
This work proposes a methodology to find performance and energy trade-offs for parallel applications running on Heterogeneous Multi-Processing systems with a single instruction-set…
Visualizations for Understanding SoC Behaviour
Dave McEwan, Marcin Hlond, Jose Nunez-Yanez
This paper introduces a novel method of analysis for SoC development building upon commonly used tools and techniques to approximate and automate the human process of investigation…
Relationship Estimation Metrics for Binary SoC Data
Dave McEwan, Jose Nunez-Yanez
System-on-Chip (SoC) designs are used in every aspect of computing and their optimization is a difficult but essential task in today's competitive market. Data taken from SoCs to a…
Heterogeneous FPGA+GPU Embedded Systems: Challenges and Opportunities
Mohammad Hosseinabady, Mohd Amiruddin Bin Zainol, Jose Nunez-Yanez
The edge computing paradigm has emerged to handle cloud computing issues such as scalability, security and low response time among others. This new computing trend heavily relies o…
High-Performance Ultrasonic Levitation with FPGA-based Phased Arrays
William Beasley, Brenda Gatusch, Daniel Connolly-Taylor +3
We present a flexible and self-contained platform for acoustic levitation research based on the Xilinx Zynq SoC using an array of ultrasonic emitters. The platform employs an inexp…
Parallelizing Workload Execution in Embedded and High-Performance Heterogeneous Systems
Jose Nunez-Yanez, Mohammad Hosseinabady, Moslem Amiri +5
In this paper, we introduce a software-defined framework that enables the parallel utilization of all the programmable processing resources available in heterogeneous system-on-chi…
Energy Efficient Video Fusion with Heterogeneous CPU-FPGA Devices
Jose Nunez-Yanez, Tom Sun
This paper presents a complete video fusion system with hardware acceleration and investigates the energy trade-offs between computing in the CPU or the FPGA device. The video fusi…