Results 31 to 40 of about 717,844 (304)
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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Hardware-Accelerated Simulated Radiography [PDF]
VIS 05. IEEE Visualization, 2005., 2006 We present the application of hardware accelerated volume rendering algorithms to the simulation of radiographs as an aid to scientists designing experiments, validating simulation codes, and understanding experimental data. The techniques presented take advantage of 32-bit floating point texture capabilities to obtain solutions to the radiative ...
Daniel E. Laney +5 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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The hardware accelerator array for logic simulation [PDF]
, 1991 Hardware acceleration exploits the parallelism inherent in large circuit simulations to achieve significant increases in performance. Simulation accelerators have been developed based on the compiled code algorithm or the event-driven algorithm.
Hansen, N H
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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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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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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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Large Field-Size Throughput/Area Accelerator for Elliptic-Curve Point Multiplication on FPGA
Applied Sciences, 2023 This article presents a throughput/area accelerator for elliptic-curve point multiplication over GF(2571). To optimize the throughput, we proposed an efficient hardware accelerator architecture for a fully recursive Karatsuba multiplier to perform ...
Ahmed Alhomoud +5 more
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Code Transpilation for Hardware Accelerators
CoRR, 2023 DSLs and hardware accelerators have proven to be very effective in optimizing computationally expensive workloads. In this paper, we propose a solution to the challenge of manually rewriting legacy or unoptimized code in domain-specific languages and hardware accelerators. We introduce an approach that integrates two open-source tools: Metalift, a code
Yuto Nishida +5 more
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