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  • [[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
  • ...rties make DNNs an ideal fit for modern SIMD architectures and distributed computing systems. ...each data sample. Hence, to reduce the pressure of DNNs on the underlying computing infrastructure, research in computational deep learning has focussed on two
    18 KB (2,473 words) - 19:29, 19 February 2024
  • 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
  • ***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
  • ...et 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]] 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
  • ...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
  • ...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

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