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• FFT-based Convolutional Network Accelerator
  ...tiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional networks (C
  8 KB (1,145 words) - 11:30, 5 February 2016
• High-speed Scene Labeling on FPGA
  ...tiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional networks (C
  8 KB (1,197 words) - 18:18, 29 August 2016
• PULPonFPGA: Lightweight Virtual Memory Support - Coherency Extensions
  ...Architecture (HSA) foundation, their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerato ...tweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs. Based on a content-addressable memory (CAM), efficiently managed by a
  4 KB (585 words) - 17:57, 7 November 2017
• PULPonFPGA: Lightweight Virtual Memory Support - Multi-Level TLB
  ...Architecture (HSA) foundation, their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerato ...tweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs. Based on a content-addressable memory (CAM), efficiently managed by a
  4 KB (554 words) - 17:57, 7 November 2017
• Scattering Networks for Scene Labeling
  ...of an image. Applications of scene labeling include situational awareness systems [4], which often demand low-complexity and low-power scene labeling. ...ration between the communication theory group and the digital circuits and systems lab.
  4 KB (563 words) - 11:29, 5 February 2016
• Efficient Implementation of an Active-Set QP Solver for FPGAs
  Quadratic programming (QP) problems arise in various embedded optimization applications such as model predictive control or constrained l : VLSI I, VLSI II, Control Systems
  4 KB (542 words) - 12:39, 1 June 2017
• FPGA System Design for Computer Vision with Convolutional Neural Networks
  ...tiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional networks (C
  3 KB (397 words) - 18:17, 29 August 2016
• Gomeza old project3
  # Characterize power/energy consumption of the heterogeneous systems : You should have experience with Matlab and be familiar with embedded C programming.
  3 KB (366 words) - 18:04, 28 January 2017
• Change-based Evaluation of Convolutional Neural Networks
  ...he input, thus potentially saving a lot of computational effort and making embedded smart cameras with a reasonable frame rate feasible.
  5 KB (747 words) - 18:04, 29 August 2016
• Rethinking our Convolutional Network Accelerator Architecture
  ...tiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional networks (C * L. Cavigelli, M. Magno, L. Benini, "Accelerating real-time embedded scene labeling with convolutional networks", Proc. ACM/IEEE/EDAC DAC'15, [h
  9 KB (1,263 words) - 18:52, 12 December 2016
• Using Motion Sensors to Support Indoor Localization
  ...cal, vision, or a combination of them. In the context of low-cost embedded systems, • Experience in software engineering for embedded systems
  3 KB (426 words) - 11:41, 21 July 2017
• PULPonFPGA: Hardware L2 Cache
  ...s uniform memory access (hUMA), their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerato ...tweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs [1,2]. Recently, we have switched to a new evaluation platform based o
  5 KB (711 words) - 10:27, 5 November 2019
• Audio Video Preprocessing In Parallel Ultra Low Power Platform
  Audio and video processing on embedded systems has many constraints coming from the fewer available resources. In many cas
  2 KB (237 words) - 10:27, 5 November 2019
• PULPonFPGA: Lightweight Virtual Memory Support - Page Table Walker
  ...s uniform memory access (hUMA), their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerato ...tweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs [1,2]. Our solution is based on the Remapping Address Block (RAB): A h
  5 KB (712 words) - 17:57, 7 November 2017
• PULPonFPGA: Lightweight Virtual Memory Support - Physically Contiguous Memory
  ...s uniform memory access (hUMA), their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerato ...tweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs [1,2,3]. Our solution is based on the Remapping Address Block (RAB). T
  6 KB (866 words) - 13:43, 29 November 2019
• Bringing XNOR-nets (ConvNets) to Silicon
  ...tiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional networks (C * L. Cavigelli, M. Magno, L. Benini, "Accelerating real-time embedded scene labeling with convolutional networks", Proc. ACM/IEEE/EDAC DAC'15, [h
  10 KB (1,357 words) - 16:25, 30 October 2020
• Signal-Processing and Data-Compression on Beaglebone Black used as embedded HPC-performance-monitoring device
  ...curate power-consumption monitoring framework, based on a state-of-the-art embedded monitoring device (namely a Beaglebone Black) and a power-sensing-board pla : 40% Implementation (C programming for embedded systems)
  3 KB (351 words) - 16:19, 27 February 2018
• Open Power-On Chip Controller Study and Integration
  ...erested partners shares HW and SW IPs to create competitive computing node systems. ...mplements the power management policies, creating a feedback loop with the embedded monitors and low level control knobs such as the power-gating, DVFS. This c
  3 KB (462 words) - 15:57, 9 September 2016
• Deep Learning Projects
  ...ing, or the knowledge about the problem is insufficient). Machine learning systems can be particularly effective when the amount of data is large, since the s ...DNNs an ideal fit for modern SIMD architectures and distributed computing systems.
  18 KB (2,473 words) - 19:29, 19 February 2024
• Tiny CNNs for Ultra-Efficient Object Detection on PULP
  At the Integrated Systems Laboratory (IIS) we have been working on techniques for smart data analytic Due to the deeply embedded nature of platforms such as PULP, realistic applications require at the sam
  5 KB (794 words) - 13:19, 13 January 2017
• FPGA-based Testbed Implementation of an Extended-Coverage Point-to-Point Communication Link for the Internet of Things
  ...ed to a RISC-V processor, most of the work throughout the project requires embedded C coding, with some work in HDL being required eventually. [[Wireless Communication Systems for the IoT]]
  3 KB (462 words) - 13:54, 13 November 2020
• Embedded Audio Source Localization Exploiting Coincidence Detection in Asynchronous Spike Streams
  ...d Systems Laboratory (IIS) of ETH Zurich and the Energy-efficient Embedded Systems (EEES) group of UNIBO. ...ng the power envelope of a few mW typical of miniaturized, battery-powered systems. Moreover, OpenMP, OpenCL and OpenVX are supported on PULP, enabling agile
  7 KB (1,025 words) - 19:52, 30 May 2017
• BigPULP: Multicluster Synchronization Extensions
  ...eamless integration of PULP-like, programmable many-core accelerators into embedded heterogeneous SoCs built around an ARM Cortex-A like multicore CPU (the hos ...of the 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES'17)'', Sankt Goar, Germany, 2017 [http://dl.acm.org/citation.cfm?id
  6 KB (805 words) - 12:17, 22 January 2018
• BigPULP: Shared Virtual Memory Multicluster Extensions
  ...eamless integration of PULP-like, programmable many-core accelerators into embedded heterogeneous SoCs built around an ARM Cortex-A like multicore CPU (the hos ...of the 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES'17)'', Sankt Goar, Germany, 2017 [http://dl.acm.org/citation.cfm?id
  6 KB (801 words) - 15:05, 23 August 2018
• Smart Virtual Memory Sharing
  embedded systems-on-chip (SoCs) are heavily based on heterogeneous In an effort to simplify the programmability of heterogeneous systems,
  6 KB (865 words) - 12:16, 17 November 2017
• BLISS - Battery-Less Identification System for Security
  ...ssing techniques based on machine learning principles enable sophisticated embedded image and data analysis to be built into mobile platforms. While face recog ...e device. This will enable face identification to be built into autonomous systems, which can be used in security and surveillance applications. Due to the co
  4 KB (602 words) - 10:45, 31 January 2023
• HERO: TLB Invalidation
  ...eamless integration of PULP-like, programmable many-core accelerators into embedded heterogeneous SoCs built around an ARM Cortex-A like multicore CPU (the hos ...of the 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES'17)'', Sankt Goar, Germany, 2017 [http://dl.acm.org/citation.cfm?id
  6 KB (796 words) - 17:19, 18 November 2019
• Heterogeneous SoCs
  ...png|500px|thumb|right|The hardware and software stack of our Heterogeneous Embedded Research Platform (HERO).]] ...ntel-marrying-fpga-beefy-broadwell-open-compute-future/]: '''Heterogeneous systems on chip''' are currently one of the main drivers for performance-per-energy
  3 KB (421 words) - 18:41, 28 October 2020
• Predictable Execution
  In modern embedded heterogeneous commercial-off-the-shelf (COTS) systems, there is a trend towards the integration of accelerators such as FPGA and However, in the context of real-time systems, where guarantees must be given on the finishing of computations before a d
  2 KB (286 words) - 18:48, 10 November 2020
• Low Power Embedded Systems
  ...s's companies that are interested in IoT and especially autonomous sensing systems Category:Low Power Embedded Systems
  2 KB (284 words) - 17:28, 13 November 2017
• Energy Efficient Autonomous UAVs
  ...such technology are unmanned aerial vehicles (UAVs) and autonomous driving systems. ...ieving this goal and is already commercializing advanced driver assistance systems (ADAS). Autonomous vehicles represent a unique opportunity to effectively h
  14 KB (2,077 words) - 15:02, 13 June 2022
• Hyperdimensional Computing
  * '''Theory''' of learning systems including HD computing, Hidden Markov Model (HMM), and clustering algorithm * Exploring various embedded/IoTs '''applications'''
  10 KB (1,341 words) - 10:46, 25 April 2018
• Integrated Information Processing
  ...f new technologies for beyond fifth-generation (5G) wireless communication systems. The projects in this area focus on emerging communication technologies inc Modern wireless systems are equipped with large arrays of parallel radio-frequency (RF) chains. Suc
  7 KB (814 words) - 16:53, 8 January 2024
• Low Power Geolocalization And Indoor Localization
  ...cal, vision, or a combination of them. In the context of low-cost embedded systems, the purpose of this project is to investigate how inexpensive off-the-shel
  5 KB (697 words) - 13:36, 11 January 2018
• Towards Autonomous Navigation for Nano-Blimps
  * Familiarity with embedded system programming in C. : 25% Study of existing systems
  7 KB (1,008 words) - 16:20, 20 February 2018
• Towards Self-Sustainable Unmanned Aerial Vehicles
  * Familiarity with embedded system programming in C. : 25% Study of existing systems
  6 KB (914 words) - 16:17, 20 February 2018
• Stefan Mach
  .... degree. Since 2017, he has been a research assistant with the Integrated Systems Laboratory at ETHZ. * Embedded Systems
  1 KB (117 words) - 17:06, 29 July 2020
• Real-Time ECG Contractions Classification
  ...nd ventricles contractions allow the blood to be pumped in the circulatory systems, essential to enable many physiological functions as well as life. Such rec : Embedded system programming
  4 KB (597 words) - 19:15, 9 March 2020
• SW/HW Predictability and Security
  == Real-Time Embedded Systems == ...in designing hardware or writing software for timing predictable embedded systems.
  1 KB (155 words) - 21:03, 19 November 2021
• Predictable Execution on GPU Caches
  ...ips (SoCs). Enabling the use of heterogeneous platforms in safety-critical systems does not only offer a major increase in performance, but also promises an i ...ler, a memory schedule aware hypervisor, soft and hard real-time operating systems (Linux, Erika), and low-level mechanisms to enforce the freedom from interf
  5 KB (706 words) - 17:41, 19 June 2019
• Freedom from Interference in Heterogeneous COTS SoCs
  ...ips (SoCs). Enabling the use of heterogeneous platforms in safety-critical systems does not only offer a major increase in performance, but also promises an i ...ler, a memory schedule aware hypervisor, soft and hard real-time operating systems (Linux, Erika), and low-level mechanisms to enforce the freedom from interf
  4 KB (499 words) - 17:40, 19 June 2019
• Extend the RI5CY core with priviledge extensions
  ...y deal with digital-signal-processing applications typical for near-sensor systems. ...curity on embedded systems make it necessary to run more complex operating systems. Those typically require more than one priviledge level.
  4 KB (661 words) - 08:38, 20 January 2021
• Improving Cold-Start in Batteryless And Energy Harvesting Systems
  ...rch community. As opposed to battery-based systems, these harvesting-based systems are very cost-effective and environmentally-friendly because they only use In batteryless sensing systems, the smaller the energy storage capacity, the faster the system will be abl
  5 KB (638 words) - 15:41, 10 November 2020
• OTDOA Positioning for LTE Cat-M
  Solely relying on Global Navigation Satellite Systems (GNSS) such as GPS is insufficient: In urban areas buildings block the line ...ill then be ported to an FPGA based evaluation testbed as a combination of embedded C software and dedicated hardware implementation. Ideally the resources alr
  4 KB (566 words) - 15:50, 9 February 2021
• Optimal System Duty Cycling for a Mobile Health Platform
  ...ces, duty cycling of unused components is a crucial mechanism both for sub-systems on the chip level as well as components on the system level, e.g. flash mem ...fter an idle period, the prior state must first be restored. In processing systems like PULP this translates mostly to a reboot of the processing cores, makin
  4 KB (597 words) - 16:57, 12 July 2022
• Design and Implementation of a multi-mode multi-master I2C peripheral
  *Interest in embedded bus systems
  2 KB (240 words) - 16:57, 12 July 2022
• An Industrial-grade Bluetooth LE Mesh Network Solution
  * Define the embedded system architecture to implement the novel BLE networking algorithm * Basic knowledge of communication systems
  5 KB (685 words) - 15:34, 10 November 2020
• Enabling Standalone Operation for a Mobile Health Platform
  *Firmware management in multi-chip systems *Startup and synchronization challenges in complex embedded systems
  2 KB (268 words) - 16:57, 12 July 2022
• Embedded Artificial Intelligence:Systems And Applications
  ...rt shoes, from smart devices in home automation to professional healthcare systems, the commercial success of these smart objects is the result of vast improv ...s's companies that are interested in IoT and especially autonomous sensing systems. The following projects focus on processing data with machine learning on l
  4 KB (609 words) - 13:52, 12 June 2018
• Contextual Intelligence on Resource-constraint Bluetooth LE IoT Devices
  ...thm(s) and (2) explore audio classification algorithms running on embedded systems. * Basic knowledge of communication systems
  5 KB (622 words) - 15:36, 10 November 2020

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