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• Energy Efficient Autonomous UAVs
  ...al class of devices used for such sophisticated algorithms are multi-cores high-end CPUs and embedded heterogeneous systems featuring powerful CPUs coupled Nowadays is well known how UAVs with high-level autonomous navigation capabilities are a hot topic both in industry a
  14 KB (2,077 words) - 15:02, 13 June 2022
• Real-Time Implementation of Quantum State Identification using an FPGA
  ...e only at the end of 20th century, but it requires the development of high performance electronic devices. The research on the development of these electronic dev ...in significant experience with signal processing in the context of quantum computing experiments and FPGA hardware implementations
  5 KB (599 words) - 09:03, 21 December 2017
• Design of a 25 Gbps SerDes for optical chip-to-chip communication
  ...d memory has doubled only every 30 months, becoming the bottleneck of high performance computers. ...n the optical domain can bypass those issues, allowing power efficient and high transmission rates.
  3 KB (382 words) - 11:44, 20 August 2021
• Ternary Weights Engine For Efficient Many Channels Spike Sorting Applications
  ..., the data streams that reflect the underlying neuron activity can present high spatial correlation among neighboring channels. This poses new challenges r * Evaluate Power/Performance/Area of the proposed implementation.
  5 KB (741 words) - 10:05, 18 November 2019
• Wireless Sensing With Long Range Comminication (LoRa)
  ...ce since low power microprocessors are weak in terms of computation power. High computation microprocessor are power hungry though. For these reasons, mult ...cation (simulations), measuring power-consumption, and assessing detection performance in lab. conditions
  5 KB (744 words) - 15:37, 10 November 2020
• AMZ Driverless Competition Embedded Systems Projects
  ...competition we started our second season willing to improve robustness and performance even further. We hope to be faster than a human driver in the coming years. ...cameras and an IMU allowing running visual inertial algorithms in the main computing system. In addition, some image processing should be done at this system to
  6 KB (895 words) - 16:27, 30 October 2020
• IBM Research
  ...n architecture, huge amounts of data need to be shuttled back and forth at high speeds, a task at which this architecture is inefficient. ...omputing paradigms from in-memory computing to brain-inspired neuromorphic computing. Our research spans from devices and architectures to algorithms and applic
  9 KB (1,330 words) - 15:20, 15 March 2024
• Finite Element Simulations of Transistors for Quantum Computing
  computing. The existing C++ code at IIS that solves this quantum transport problem is The idea of quantum computing is to associate a bit to a two-state quantum phenomenon (a “qu-bit”), s
  3 KB (432 words) - 14:14, 23 June 2021
• NVDLA meets PULP
  [[File:nvdla_memory.png|right|NVDLA Memory System and High-Level Architecture]] in terms of performance, area, and power consumption. This includes getting familiar with NVDLA, un
  6 KB (799 words) - 13:42, 10 November 2020
• Heroino: Design of the next CORE-V Microcontroller
  ***Shared, banked, memory for high-performance memory access by both the instruction and the data ports of CV32. ...s]] [[Category:Master Thesis]] [[Category:Hot]][[Category:High Performance Computing]][[Category:FPGA & Digital ASIC Design]][[Category:Embedded systems]][[Cate
  9 KB (1,314 words) - 00:01, 7 February 2021
• Manycore System on FPGA (M/S/G)
  [[Category:High Performance SoCs]] In a quest for high-performance computing systems, few architectural models retain the flexibility of many-core syste
  8 KB (1,319 words) - 10:41, 6 July 2021
• Hardware Acceleration
  ...erators are not limited to the high-performance sector alone. In low power computing, they allow complex tasks such as computer vision or cryptography to be per ==General-Purpose Computing==
  7 KB (917 words) - 17:04, 24 November 2023
• Finite element modeling of electrochemical random access memory
  ...of finite element modeling of electrochemical devices for analog computing. The work will be carried out in the Science & Technology Department at ...RAM operation and the influence of materialspropertiesand geometry on performance metrics requires a detailed multiphysics model
  4 KB (515 words) - 17:06, 16 September 2021
• Implementation of Computationally Efficient Scattering Mechanisms for Periodic Devices and 2D Materials
  ..., which are 3D components that can be approximated as 2D slices, where the high dimension can be High Performance Computing is advantageous but not necessary.
  2 KB (327 words) - 17:06, 16 September 2021
• Event-Driven Convolutional Neural Network Modular Accelerator
  ...ed approaches seem to go into the direction of a higher Sensor Activity to Computing Energy proportionality, which could bring significant advantages to many ed ...igurable in the type of neuron model to use, and in the number of physical computing engines instantiated. The accelerator operations are orchestrated by an RIS
  4 KB (651 words) - 19:10, 29 January 2021
• Toward hyperdimensional active perception: learning compressed sensorimotor control by demonstration
  [[Category:Herschmi]][[Category:Event-Driven Computing]] ...your goal would be to improve algorithms, and implementations based on HD computing
  2 KB (308 words) - 20:12, 9 February 2020
• Spiking Neural Network for Autonomous Navigation
  ...pproach, and seems to go into the direction of a higher Sensor Activity to Computing Energy proportionality, which could bring significant advantages to many ed 1. Study the SNN computing paradigm, and select a population of SNN candidate for the target task
  4 KB (644 words) - 19:10, 29 January 2021
• Semi-Custom Digital VLSI for Processing-in-Memory
  ...eless communication, where massive amounts of data need to be processed at high rates. [[Category:Event-Driven Computing]]
  7 KB (882 words) - 14:33, 28 July 2021
• Hyper-Dimensional Computing Based Predictive Maintenance
  Hyperdimensional computing (HDC) is an energy-efficient alternative to ...design the classification schemes using the primitives of hyperdimensional computing. In a second step, the algorithm should be tuned to be portable to an ultra
  5 KB (759 words) - 09:18, 16 September 2021
• Accurate deep learning inference using computational memory
  ...ty limits in terms of performance and power are being reached, alternative computing paradigms are searched for in which computation and storage are collocated. ...nts on phase-change memory chips comprising more than 1 million devices to high-level algorithmic development in a deep learning framework such as TensorFl
  5 KB (628 words) - 12:51, 17 April 2020

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