Results 11 to 20 of about 2,024 (196)

IoT based Performance Improvement of Single Instruction Multiple Data (SIMD) Processor Array for Wireless Sensor Networks Application

Tehnički vjesnik
The advent of the Internet of Things (IoT) has brought about the need for more sophisticated and low-cost resource devices compared to traditional embedded systems. These IoT devices, which are often deployed in wireless sensor networks, must operate within strict power constraints.
A. Velliangiri, Vinoth Kumar Kalimuthu, C. G. Balaji, Mohan Kumar A.   +3 more
openaire   +5 more sources

Field Instruction Multiple Data [PDF]

, 2022
Fully homomorphic encryption~(FHE) has flourished since it was first constructed by Gentry~(STOC 2009). Single instruction multiple data~(SIMD) gave rise to efficient homomorphic operations on vectors in \((\mathbb{F}_{t^d})^\ell\), for prime \(t\). RLWE
Jun Jie Sim, Khin Mi Mi Aung, Enhui Lim, Benjamin Hong Meng Tan, Sze Ling Yeo, Huaxiong Wang   +5 more
core  

Extending SHAPES for SIMD architectures [PDF]

, 2018
SIMD (Single Instruction, Multiple Data) instruction sets are ubiquitous on modern hardware, but rarely used in software projects. A major reason for this is that efficient SIMD code requires data to be laid out in memory in an unconventional manner ...
Eisenbach, Susan, Juliana Franco, Wrigstad, Tobias, Susan Eisenbach, Franco, Juliana, Tobias Wrigstad, Tasos, Alexandros, Sophia Drossopoulou, Drossopoulou, Sophia, Alexandros Tasos   +9 more
core   +1 more source

Founsure 1.0: An erasure code library with efficient repair and update features

SoftwareX, 2021
Founsure is an open-source software library that implements a multi-dimensional graph-based erasure coding entirely based on fast exclusive OR (XOR) logic.
Şuayb Ş. Arslan
doaj   +1 more source

A scalable ASIP for BP Polar decoding with multiple code lengths

MATEC Web of Conferences, 2018
In this paper, we propose a flexible scalable BP Polar decoding application-specific instruction set processor (PASIP) that supports multiple code lengths (64 to 4096) and any code rates.
Qiao Wan, Liu Dake
doaj   +1 more source

Scalable IC Platform for Smart Cameras

EURASIP Journal on Advances in Signal Processing, 2005
Smart cameras are among the emerging new fields of electronics. The points of interest are in the application areas, software and IC development. In order to reduce cost, it is worthwhile to invest in a single architecture that can be scaled for the ...
Harry Broers, Vishal Choudhary, Anteneh A. Abbo, Richard P. Kleihorst   +3 more
doaj   +1 more source

A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization

Intelligent Computing
The single instruction multiple data (SIMD) capability in modern processors is critical to improving the performance of current compute-intensive programs.
Yao Xiao, Nesreen K. Ahmed, Mihai Capotă, Guixiang Ma, Theodore L. Willke, Shahin Nazarian, Paul Bogdan   +6 more
doaj   +1 more source

A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System

Sensors, 2021
Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results. Unfortunately, the general micro-controller-class processors which are widely used in sensing system ...
Haifeng Zhang, Xiaoti Wu, Yuyu Du, Hongqing Guo, Chuxi Li, Yidong Yuan, Meng Zhang, Shengbing Zhang   +7 more
doaj   +1 more source

SIMD acceleration for HEVC decoding [PDF]

, 2017
Single instruction multiple data (SIMD) instructions have been commonly used to accelerate video codecs. The recently introduced High Efficiency Video Coding (HEVC) codec like its predecessors is based on the hybrid video codec principle and, therefore ...
Juurlink, Ben, Chi, Chi Ching, Bross, Benjamin, Álvarez-Mesa, Mauricio, Schierl, Thomas   +4 more
core   +1 more source

MIMD Programs Execution Support on SIMD Machines: A Holistic Survey

IEEE Access
The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism.
Dheya Mustafa, Ruba Alkhasawneh, Fadi Obeidat, Ahmed S. Shatnawi   +3 more
doaj   +1 more source