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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

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