Results 21 to 30 of about 75,469 (269)

The computer model of a neutron fluxes forming system on a linear electron accelerator [PDF]

Ядерна фізика та енергетика, 2023
A computer model of the system for generating neutron fluxes at the output of a linear electron accelerator has been developed in the Geant4 and PhysList QGSP BIC HP programming environment.
S. P. Gokov, V. M. Horbach, Yu. G. Kazarinov, V. V. Kantemirov, V. I. Kasilov, L. N. Kolpakova, O. A. Lyukhtan, E. V. Tsiats’ko   +7 more
doaj   +1 more source

How Europe Is Preparing Its Core Solution for Exascale Machines and a Global, Sovereign, Advanced Computing Platform

Mathematical and Computational Applications, 2020
In this paper, we present an overview of the European Processor Initiative (EPI), one of the cornerstones of the EuroHPC Joint Undertaking, a new European Union strategic entity focused on pooling the Union’s and national resources on HPC to acquire ...
Mario Kovač, Philippe Notton, Daniel Hofman, Josip Knezović   +3 more
doaj   +1 more source

LDPC Hardware Acceleration in 5G Open Radio Access Network Platforms

IEEE Access, 2021
The Open Radio Access Network (RAN) concept has been gaining wide acceptance in recent network architectures, including 5G New Radio (NR) network deployments.
Elissaios Alexios Papatheofanous, Dionysios Reisis, Konstantinos Nikitopoulos   +2 more
doaj   +1 more source

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, Thi Hong Tran, Vu Trung Duong Le, Yasuhiko Nakashima   +3 more
doaj   +1 more source

Parallel accelerator design for convolutional neural networks based on FPGA

Dianzi Jishu Yingyong, 2021
In recent years, convolutional neural network plays an increasingly important role in many fields. However, power consumption and speed are the main factors limiting its application.
Wang Ting, Chen Binyue, Zhang Fuhai
doaj   +1 more source

Innovation Factory for Sharing Knowledge

Symphonya, 2015
The introduction of an innovative organization like Digital Borgo in a strongly conservative context, made mostly by SMEs and few big companies, often with no relationships to each other modify their interests in collaborating and exchanging knowledge ...
Chiara Patitucci, Andrea Risa
doaj   +1 more source

Influência de aditivos dispersantes e acelerador na hidratação de cimento e cimento-matriz Influence of dispersant and accelerator additives on hydration of calcium aluminate cement and cement-matrix

Cerâmica, 2006
A aplicação de concretos refratários, principalmente na siderurgia, é um processo em constante evolução, que apresenta uma forte dependência dos avanços dos conhecimentos sobre os ligantes hidráulicos.
I. R. Oliveira, J. R. Garcia, V. C. Pandolfelli   +2 more
doaj   +1 more source

Insights from the evaluations of the NIH Centers for Accelerated Innovation and Research Evaluation and Commercialization Hubs programs

Journal of Clinical and Translational Science, 2022
Background: The National Institutes of Health launched the NIH Centers for Accelerated Innovation and the Research Evaluation and Commercialization Hubs programs to develop approaches and strategies to promote academic entrepreneurship and translate ...
Benjamin J. Anderson, Olena Leonchuk, Alan C. O’Connor, Brooke K. Shaw, Amanda C. Walsh   +4 more
doaj   +1 more source

An Efficient Hardware/Software Co-Design for FALCON on Low-End Embedded Systems

IEEE Access
We propose in this paper an efficient FALCON accelerator called EFX based on a HW/SW co-design where FALCON is a post-quantum cryptographic (PQC) scheme tailored as a digital signature algorithm (DSA).
Yongseok Lee, Jonghee Youn, Kevin Nam, Heon Hui Jung, Myunghyun Cho, Jimyung Na, Jong-Yeon Park, Seungsu Jeon, Bo Gyeong Kang, Hyunyoung Oh, Yunheung Paek   +10 more
doaj   +1 more source

Greedy Prefetch for Reducing Off-Chip Memory Accesses in Convolutional Neural Network Inference

Information
The high parameter and memory access demands of CNNs highlight the need to reduce off-chip memory accesses. While recent approaches have improved data reuse to lessen these accesses, simple and efficient prefetching methods are still lacking.
Dengtian Yang, Lan Chen
doaj   +1 more source