Results 31 to 40 of about 3,717 (263)

A new design approach of hardware implementation through natural language entry

IET Collaborative Intelligent Manufacturing, 2023
OpenAI's ChatGPT (GPT‐4) ushers in a superior mode of computer interaction through natural language dialogues. Notably, it generates not only engaging dialogues but also codes aligned to queries and requirements.
Kaiyuan Yang, Haotian Liu, Yuqin Zhao, Tiantai Deng   +3 more
doaj   +1 more source

Using HW/SW Codesign for Deep Neural Network Hardware Accelerator Targeting Low-Resources Embedded Processors

IEEE Access, 2022
The usage of RISC-based embedded processors, aimed at low cost and low power, is becoming an increasingly popular ecosystem for both hardware and software development.
Erez Manor, Shlomo Greenberg
doaj   +1 more source

Hardware Trojan Attacks on the Reconfigurable Interconnections of Field-Programmable Gate Array-Based Convolutional Neural Network Accelerators and a Physically Unclonable Function-Based Countermeasure Detection Technique

Micromachines
Convolutional neural networks (CNNs) have demonstrated significant superiority in modern artificial intelligence (AI) applications. To accelerate the inference process of CNNs, reconfigurable CNN accelerators that support diverse networks are widely ...
Jia Hou, Zichu Liu, Zepeng Yang, Chen Yang   +3 more
doaj   +1 more source

On-Chip Reconfigurable Hardware Accelerators for Popcount Computations

International Journal of Reconfigurable Computing, 2016
Popcount computations are widely used in such areas as combinatorial search, data processing, statistical analysis, and bio- and chemical informatics.
Valery Sklyarov, Iouliia Skliarova, João Silva   +2 more
doaj   +1 more source

Accelerating Fully Homomorphic Encryption in Hardware

IEEE Transactions on Computers, 2014
We present a custom architecture for realizing the Gentry-Halevi fully homomorphic encryption (FHE) scheme. This contribution presents the first full realization of FHE in hardware. The architecture features an optimized multi-million bit multiplier based on the Schonhage Strassen multiplication algorithm.
Doroez, Yarkin, Ozturk, Erdinc, Sunar, Berk   +2 more
openaire   +3 more sources

Photonic matrix multiplication lights up photonic accelerator and beyond

Light: Science & Applications, 2022
This review summarizes the advances of photonic accelerators from the viewpoint of photonic matrix multiplication, providing a guidance for all-optical or optoelectronic-hybrid AI hardware chip system.
Hailong Zhou, Jianji Dong, Junwei Cheng, Wenchan Dong, Chaoran Huang, Yichen Shen, Qiming Zhang, Min Gu, Chao Qian, Hongsheng Chen, Zhichao Ruan, Xinliang Zhang   +11 more
doaj   +1 more source

Hardware Accelerated Power Estimation [PDF]

Design, Automation and Test in Europe, 2005
In this paper, we present power emulation, a novel design paradigm that utilizes hardware acceleration for the purpose of fast power estimation. Power emulation is based on the observation that the functions necessary for power estimation (power model evaluation, aggregation, etc.) can be implemented as hardware circuits.
Coburn, Joel, Ravi, Srivaths, Raghunathan, Anand   +2 more
openaire   +3 more sources

Proposal of an open-source accelerators library for inference of transformer networks in edge devices based on Linux

Tecnología en Marcha
Transformers networks have been a great milestone in the natural language processing field, and have powered technologies like ChatGPT, which are undeniably changing people’s lives.
Alejandro Araya-Núñez, Justin Fernández-Badilla, Daniel González-Vargas González-Vargas, Jimena León-Huertas, Erick-Andrés Obregón-Fonseca, Danny Xie-Li   +5 more
doaj   +1 more source

A Component-Centric Perspective on Hardware Accelerators for LLMs

IEEE Access
The rapid scaling of large language models (LLMs), especially those based on the Transformer architecture, has intensified the demand for high-performance hardware accelerators capable of supporting massive parameter counts with minimal latency and ...
Jia Ke, Wang Xiaohao, Chen Hailin, Zhong Wei, Li Xinxiong, Fang Zenan, An Fengwei   +6 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source