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Exploiting data encoding and reordering for low-power streaming in systolic arrays
(Elsevier, 2023-10-03)
Systolic Array (SA) architectures are well-suited for accelerating matrix multiplications through the use of a pipelined array of Processing Elements (PEs) communicating with local connections and pre-orchestrated data ...
Streaming Dilated Convolution Engine
(IEEE, 2023-01-09)
Convolution is one of the most critical operations in various application domains and its computation should combine high performance with energy efficiency. This requirement is critical both for standard convolution and ...
ArrayFlex: A Systolic Array Architecture with Configurable Transparent Pipelining
(IEEE, 2023-06-02)
Convolutional Neural Networks (CNNs) are the state-of-the-art solution for many deep learning applications. For maximum scalability, their computation should combine high performance and energy efficiency. In practice, the ...
Robustness of Artificial Neural Networks Based on Weight Alterations Used for Prediction Purposes
(MDPI, 2023-06-29)
Nowadays, due to their excellent prediction capabilities, the use of artificial neural networks (ANNs) in software has significantly increased. One of the most important aspects of ANNs
is robustness. Most existing studies ...
Multi-Armed Bandits for Autonomous Test Application in RISC-V Processor Verification
(IEEE, 2023-07-17)
Multi-armed bandit problems have recently received a great deal of attention, because they adequately formalize so called exploration-exploitation trade-offs arising in several relevant applications of recommendation ...