Results 161 to 170 of about 1,338 (209)

Optimizing Winograd Convolution on ARMv8 manycore processors

CoRR
As Convolutional Neural Networks (CNNs) gain prominence in deep learning, algorithms like Winograd Convolution have been introduced to enhance computational efficiency. However, existing implementations often face challenges such as high transformation overhead, suboptimal computation efficiency, and reduced parallel performance in some layers.
Haoyuan Gui, Xiaoyu Zhang, Chong Zhang, Zitong Su, Hui-Yuan Li   +4 more
semanticscholar   +4 more sources

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The ARMv8 simulator

Proceedings of the 27th international ACM conference on International conference on supercomputing, 2013
In this work, we implement an ARMv8 function and performance simulator based on gem5 infrastructure, which is the first open source ARMv8 simulator. All the ARMv8 A64 instructions other than SIMD are implemented using gem5 ISA description language. The ARMv8 simulator supports multiple CPU models, multiple memory systems, and McPAT power model.
Tao Jiang 0010, Lele Zhang, Rui Hou 0001, Yi Zhang 0037, Qianlong Zhang, Lin Chai, Jing Han 0011, Wuxiong Zhang, Cong Wang, Lixin Zhang 0002   +9 more
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ARMv8-M

2016
exaly   +2 more sources

Implementing GCM on ARMv8

2015
The Galois/Counter Mode is an authenticated encryption scheme which is included in protocols such as TLS and IPSec. Its implementation requires multiplication over a binary finite field, an operation which is costly to implement in software. Recent processors have included instructions aimed to speed up binary polynomial multiplication, an operation ...
Conrado Porto Lopes Gouvêa, Julio López 0002   +1 more
openaire   +1 more source

Uncovering Hidden Instructions in Armv8-A Implementations

Hardware and Architectural Support for Security and Privacy, 2020
Though system and application level security has received and continue to receive significant attention, interest in hardware security has spiked only in the last few years. The majority of recently disclosed hardware security attacks exploit well known and documented hardware behaviours such as speculation, cache and memory timings, etc.
Fredrik Strupe, Rakesh Kumar 0003
openaire   +1 more source

Educational Simulator for Analysing Pipelined LEGv8 (subset of ARMv8)Architecture

IEEE Region 10 Conference, 2023
This paper presents the design and implementation of a pipelined Lessen Extrinsic Garrulity (LEGv8) architecture simulator, subset of ARMv8 architecture.
Jia-Tian Chia, S. G.
semanticscholar   +1 more source

Scaling Deep Learning Molecular Dynamics to 500M Atoms on 4096-Node ARMv8 Clusters

IEEE International Conference on Cluster Computing
Molecular dynamics (MD) simulations are essential tools for investigating large-scale molecular systems, yet achieving high performance and scalability on CPU-based architectures remains challenging. In this study, we present a highly optimized framework
Qi Du, Feng Wang, Chengkun Wu, Han Wang, Yongpeng Liu, Zhao-Yin Zhou, Ken-Li Li   +6 more
semanticscholar   +1 more source

Implementation and Optimization of Double-Precision Floating-Point Exponential Functions on ARMv8 NEON Architecture

2023 2nd International Conference on Advanced Sensing, Intelligent Manufacturing (ASIM), 2023
The natural exponential function is an important basic arithmetic function with a wide application in many fields such as artificial intelligence. In order to satisfy the demands of high-performance computing on Armv8 architecture, we use Neon assembly ...
Rong Luo, Xu Cheng, Dan Hu, Xiao-Zhe Zhang, Tao Chen, Chun-Ye Gong   +5 more
semanticscholar   +1 more source

Optimizing Pretraining Frameworks for Remote Sensing Foundation Model on ARMv8 CPU: A Case Study with Kunpeng 920

IEEE International Geoscience and Remote Sensing Symposium
The rapid growth of remote sensing foundation models has underscored the need for efficient training strategies capable of handling increasingly large datasets and model architectures.
Lixian Zhang, Qinrui Zheng, Jian-Ting Liu, Meng-Ke Zhu, Rui Lin, Hao-Yuan Liang, Jue-Peng Zheng, Hao-Huan Fu   +7 more
semanticscholar   +1 more source

Setting up cloud based shared ARMv8 machine for Computer Architecture Education

Models of the information system for managing educational processes in distance and traditional forms of education in higher educational institutions
In the context of rapid technological advancement, it is essential to prepare students to work with modern processor architectures. This paper presents the integration of practical ARMv8 learning into a computer architecture course using the Orange Pi 5 ...
L. Asretdinova, Muhabbat Asretdinova
semanticscholar   +1 more source