Results 31 to 40 of about 77,762 (283)
Adaptive embedded technologies: hardware acceleration [PDF]
, 2021 This thesis establishes the benefits of multi-architecture systems by using reconfigurable modules in conjunction with a case integration strategy to improve system performance. The modules and strategies discussed in this thesis provide opportunities to the improve system performance of processing units designed for the consumer market.
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Dynamic accelerator provisioning for SSH tunnels in NFV environments [PDF]
, 2019 In this demonstration, we present dynamic allocation of accelerator resources to SSH tunnels in an NFV environment. In order to accelerate a VNF, its compute-intensive operations are offloaded to hardware cores running on an FPGA.
Colle, Didier +3 more
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USING ARTIFICIAL INTELLIGENCE ACCELERATORS TO TRAIN COMPUTER GAME CHARACTERS
Компютерні системи та інформаційні технології, 2021 A review of the literature has shown that today, given the complexity of computational processes and the high cost of these processes, the gaming computer industry needs to improve hardware and software to increase the efficiency and speed of ...
YELYZAVETA HNATCHUK +2 more
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An ultra low-power hardware accelerator for automatic speech recognition [PDF]
, 2016 Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile segment. Fast and accurate ASR comes at a high energy cost which is not affordable for the tiny power budget of mobile devices.
Arnau Montañés, José María +3 more
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CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge
IEEE Access, 2020 Convolutional neural networks (CNNs) are widely deployed for many artificial intelligence (AI) applications, such as object detection and image classification. Due to the burgeoning revolution in edge AI, CNN hardware accelerators are also being employed
Yeongmin Kim, Joonho Kong, Arslan Munir
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A Partial Method for Calculating CNN Networks Based On Loop Tiling [PDF]
International Journal of Information and Communication Technology Research, 2023 Convolutional Neural Networks (CNNs) have been widely deployed in the fields of artificial intelligence and computer vision. In these applications, the CNN part is the most computationally intensive.
Ali Ali A.D. Farahani +3 more
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A High-Efficiency FPGA-Based Multimode SHA-2 Accelerator
IEEE Access, 2022 The secure hash algorithm 2 (SHA-2) family, including the SHA-224/256/384/512 hash functions, is widely adopted in many modern domains, ranging from Internet of Things devices to cryptocurrency.
Hoai Luan Pham +3 more
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, 2023 AbstractWith Moore’s law and Dennard’s scaling no longer fueling the improvement in computing performance, new avenues for increasing performance are needed. Hardware acceleration is one avenue where many researchers and industrial parties are working and investing.
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Hardware Acceleration of Sparse Support Vector Machines for Edge Computing
Elektronika ir Elektrotechnika, 2020 In this paper, a hardware accelerator for sparse support vector machines (SVM) is proposed. We believe that the proposed accelerator is the first accelerator of this kind.
Vuk Vranjkovic, Rastislav Struharik
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Remote Sensing, 2022 In recent years, convolutional neural network (CNN)-based algorithms have been widely used in remote sensing image processing and show tremendous performance in a variety of application fields.
Tianwei Yan +4 more
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