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  • ...ion of implantable multielectrode-arrays (MEAs) to record brain signals at high spatio-temporal resolution. Data processing is needed to decode useful info ...omputing with numbers. HDC has proven to be promising for energy-efficient computing applied to biosignal classification [2].
    5 KB (619 words) - 19:58, 10 March 2024
  • ==High-Performance Systems-on-Chip== ...n ever-increasing amount of '''parallel floating-point performance''' from computing systems. Increasingly, such applications must scale across a wide range of
    11 KB (1,337 words) - 10:54, 25 January 2024
  • ...SoC architectures that combine the versatility of parallel general-purpose computing with the energy efficiency of application-specific hardware accelerators.
    3 KB (339 words) - 15:59, 1 November 2023
  • In a quest for high-performance computing systems, few architectural models retain the flexibility of many-core syste ...at 500MHz, and the L1 memory can be accessed by any of the cores through a high-throughput interconnection network with a round-trip latency of at most fiv
    8 KB (1,196 words) - 10:41, 6 July 2021
  • ...research for fifth-generation (5G) wireless systems and beyond, providing high data rates for all users was one of the key requirements. From now on, the ...e desired signal power and mitigate interference, improving the system’s performance, without the need of extra APs [4].
    8 KB (1,011 words) - 12:25, 16 November 2023
  • [[Category:High Performance SoCs]] ...ing systems (OSes) – a common technique used in secure systems and cloud computing to allow running untrusted OSes or multiple OSes in parallel.
    3 KB (391 words) - 08:49, 21 June 2022
  • * High-Performance Computing
    890 bytes (104 words) - 18:33, 8 December 2020
  • [[Category:High Performance SoCs]] Much of our recent work on high-performance computing systems at IIS uses the ''Snitch'' cluster [[#ref-snitch|[3]]]. Thi
    11 KB (1,602 words) - 15:19, 9 July 2021
  • [[Category:High Performance SoCs]] ...lerator interface, allowing it to be paired with a powerful FPU to achieve high FPU utilizations and compute-over-control ratio.
    8 KB (1,220 words) - 15:18, 9 July 2021
  • [[Category:High Performance SoCs]] ...system [[#ref-zaruba2020snitch|[1]]] targets energy-efficient high-performance systems. It is built around the minimal RISC-V Snitch core, only 15 kGE in
    11 KB (1,519 words) - 15:20, 9 July 2021
  • ...itional, high-resolution cameras. The student will use a cutting-edge high-performance embedded GPU to acquire data from these devices and run sensor-fusion based ...egory:Master Thesis]] [[Category:Bachelor Thesis]] [[Category:Event-Driven Computing]] [[Category:Hot]]
    2 KB (349 words) - 15:53, 11 October 2021
  • ...ning graphs with convolutional networks (GCNs), achieving state-of-the-art performance in public datasets [13].[14] proposed a temporal GCN to tackle the task of 1 - Development in a high-level programming language (python) of graph neural networks and/or convolu
    10 KB (1,306 words) - 19:58, 10 March 2024
  • ===About the Huawei Future Computing Laboratory=== ...research laboratory focused on fundamental research in the area of future computing systems (new hardware, new software, new algorithms).
    6 KB (799 words) - 11:11, 1 August 2022
  • ...t al., “Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural net
    5 KB (662 words) - 20:05, 10 March 2024
  • [[Category:High Performance SoCs]] In a quest for high-performance computing systems, few architectural models retain the flexibility of manycore system
    10 KB (1,434 words) - 17:20, 2 August 2021
  • ...f time-encoded SNNs to high-level system simulations in a high-performance computing framework. It also involves interactions with several researchers across IB ...or level and/or digital design with VHDL). Prior knowledge of neuromorphic computing concepts is a bonus but not necessary.
    3 KB (360 words) - 10:54, 31 August 2021
  • [[Category:High Performance SoCs]] ...e handling such streams in hardware. This frees processors from explicitly computing addresses and issuing requests, increasing compute throughput. It also ''de
    3 KB (425 words) - 17:32, 17 November 2021
  • [[Category:High Performance SoCs]] ...e handling such streams in hardware. This frees processors from explicitly computing addresses and issuing requests, increasing compute throughput. It also ''de
    4 KB (557 words) - 16:14, 6 November 2022
  • ...cision network to an appropriate representation and apply to it a suitable computing paradigm. ...gher precision. Our goal is therefore to keep this overhead of the sparse, high-precision part of the layer as small as possible and reach an optimal trade
    3 KB (497 words) - 22:15, 23 November 2022
  • ...s. However, the deployed networks have so far all been run at a relatively high numerical precision of 8 bits. ...er a simulation or the physical Kraken chip - see references) and evaluate performance compared to the 8-bit baseline
    8 KB (1,101 words) - 20:04, 10 March 2024

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