Results 11 to 20 of about 25,587 (261)
CORDIC Hardware Acceleration Using DMA-Based ISA Extension
Journal of Low Power Electronics and Applications, 2022 The use of RISC-based embedded processors aimed at low cost and low power is becoming an increasingly popular ecosystem for both hardware and software development. High-performance yet low-power embedded processors may be attained via the use of hardware
Erez Manor +2 more
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MXQuery with Hardware Acceleration [PDF]
2012 IEEE 28th International Conference on Data Engineering, 2012 We demonstrate MXQuery/H, a modified version of MXQuery that uses hardware acceleration to speed up XML processing. The main goal of this demonstration is to give an interactive example of hardware/software co-design and show how system performance and energy efficiency can be improved by off-loading tasks to FPGA hardware.
Fischer, Peter M., Teubner, Jens
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Reduced-Precision Acceleration of Radio-Astronomical Imaging on Reconfigurable Hardware
IEEE Access, 2022 Radio telescopes produce large volumes of data that need to be processed to obtain high-resolution sky images. This is a complex task that requires computing systems that provide both high performance and high energy efficiency.
Stefano Corda +7 more
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Research on Heterogeneous Acceleration of Deep Learning Method for Missile-Borne Image Processing [PDF]
Hangkong bingqi, 2021 The problem existing in the transformation of deep learning algorithm to engineering application is analyzed. Combining with the characteristics and development trends of army intelligent ammunition, the missile-borne image processing heterogeneous ...
Chen Dong, Tian Zonghao
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A Hardware Accelerator for Protocol Buffers [PDF]
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021 Serialization frameworks are a fundamental component of scale-out systems, but introduce significant compute overheads. However, they are amenable to acceleration with specialized hardware. To understand the trade-offs involved in architecting such an accelerator, we present the first in-depth study of serialization framework usage at scale by ...
Sagar Karandikar +7 more
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Hardware Acceleration for Container Migration on Resource-Constrained Platforms
IEEE Access, 2020 The computing capabilities of client devices are continuously increasing; at the same time, demands for ultra-low latency (ULL) services are increasing.
Prateek Shantharama +6 more
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 Evolutionary computation has been shown to be a highly effective method for training neural networks, particularly when employed at scale on CPU clusters. Recent work have also showcased their effectiveness on hardware accelerators, such as GPUs, but so far such demonstrations are tailored for very specific tasks, limiting applicability to other ...
Yujin Tang, Yingtao Tian, David Ha
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Applied Sciences, 2022 For embedded impedance spectroscopy, a suitable method for analyzing AC signals needs to be carefully chosen to overcome limited processing capability and memory availability. This paper compares various methods, including the fast Fourier transform (FFT)
Ahmed Yahia Kallel +2 more
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Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks
Advanced Science, 2022 Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever‐increasing computing requirements of these structures have contributed to a desire for novel technologies and paradigms, including ...
Dovydas Joksas +6 more
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Investigating hardware acceleration for simulation of CFD quantum circuits
Frontiers in Mechanical Engineering, 2022 Among the many computational models for quantum computing, the Quantum Circuit Model is the most well-known and used model for interacting with current quantum hardware.
Youssef Moawad +2 more
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