Results 41 to 50 of about 349,192 (350)
A Survey of FPGA-Based Robotic Computing [PDF]
IEEE Circuits and Systems Magazine, 2020 Recent researches on robotics have shown significant improvement, spanning from algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged robots, drones, and autonomous vehicles, are now widely applied in diverse scenarios.
Zishen Wan +7 more
semanticscholar +1 more source
Research on the method of fast inverse realisation of Vandermonde matrix based on FPGA
The Journal of Engineering, 2019 With the rapid development of science and technology, the operation and calculation in synthetic aperture radar (SAR) imaging systems require high throughput, and the system has high requirement for real-time performance.
Lei Chen, Liang Chen, BingY Li
doaj +1 more source
Novel hybrid strong and weak PUF design based on FPGA
网络与信息安全学报, 2021 Physically unclonable function (PUF) can produce intrinsic keys with characteristics of randomness, uniqueness and tamper-proof by exploiting the process deviations which can not be avoided in the chip manufacturing process.
LIAN Jiana +2 more
doaj +1 more source
NMR in Biomedicine, Volume 36, Issue 1, January 2023., 2023 This article describes the current properties and capabilities of MaRCoS (Magnetic Resonance Control System), an open‐source console with the aim of providing an inexpensive yet flexible platform for low‐cost MRI. The results presented show that sequences commonly used in the clinic can be programmed into an open‐source system and already produce high ...
Teresa Guallart‐Naval +11 more
wiley +1 more source
FPGA Based Speed Control of a Separately Excited DC Motor [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 An armature voltage control is used to control the supplied voltage of an armature of a 2 kW separately excited DC motor. A buck regulator is used to vary the supplied voltage of the motor.
Maan Shaker, Nasseer Basheer, Qusay Ali
doaj +1 more source
Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks [PDF]
2016 International Conference on Field-Programmable Technology (FPT), 2016 Convolutional Neural Networks (CNNs) have gained significant traction in the field of machine learning, particularly due to their high accuracy in visual recognition. Recent works have pushed the performance of GPU implementations of CNNs to significantly improve their classification and training times.
Graham W. Taylor +5 more
openaire +2 more sources
Sparse and dense matrix multiplication hardware for heterogeneous multi-precision neural networks
Array, 2021 In this paper, we present hardware accelerators created with high-level synthesis techniques for sparse and dense matrix multiplication operations. The cores can operate with different precisions and are designed to be integrated in a heterogeneous CPU ...
Jose Nunez-Yanez, Mohammad Hosseinabady
doaj
Exact and heuristic allocation of multi-kernel applications to multi-FPGA platforms [PDF]
, 2019 FPGA-based accelerators demonstrated high energy efficiency compared to GPUs and CPUs. However, single FPGA designs may not achieve sufficient task parallelism.
Casu, Mario R. +4 more
core +2 more sources
Software: Practice and Experience, Volume 53, Issue 1, Page 27-52, January 2023., 2023 Abstract Ordinary differential equations can be used to describe simulation models. As such, solving these equations is an important task in the high performance computing (HPC) domain. Field programmable gate arrays (FPGAs) are a promising platform, expected to be usable as efficient accelerators for such computations.
Silas Bartel, Matthias Korch
wiley +1 more source
FMCW rail-mounted SAR: Porting spotlight SAR imaging from MATLAB to FPGA [PDF]
, 2014 In this work, a low-cost laptop-based radar platform derived from the MIT open courseware has been implemented. It can perform ranging, Doppler measurement and SAR imaging using MATLAB as the processor.
Gray, D., Le Kernec, J., Melnikov, A.
core +1 more source