Single instruction multiple data simd

Results 71 to 80 of about 2,024 (196)

Monte Carlo simulations on SIMD computer architectures. [Single instruction multiple data (SIMD)]

, 1992
Algorithmic considerations regarding the implementation of various materials science applications of the Monte Carlo technique to single instruction multiple data (SMM) computer architectures are presented.
Gronsky, R., Burmester, C. P., Wille, L. T. +2 more
core

Genefer: Programs for Finding Large Probable Generalized Fermat Primes

Journal of Open Research Software, 2015
Genefer is a suite of programs for performing Probable Primality (PRP) tests of Generalised Fermat numbers 'b'2'n'+1 (GFNs) using a Fermat test. Optimised implementations are available for modern CPUs using single instruction, multiple data (SIMD ...
Iain Arthur Bethune, Yves Gallot
doaj +1 more source

Partition-based SIMD Processing and its Application to Columnar Database Systems

, 2023
The Single Instruction Multiple Data (SIMD) paradigm became a core principle for optimizing query processing in columnar database systems. Until now, only the LOAD/STORE instructions are considered to be efficient enough to achieve the expected speedups,
Alexander Krause +9 more
core +1 more source

A Highly-efficient Lattice-based Post-Quantum Cryptography Processor for IoT Applications

Transactions on Cryptographic Hardware and Embedded Systems
Lattice-Based Cryptography (LBC) schemes, like CRYSTALS-Kyber and CRYSTALS-Dilithium, have been selected to be standardized in the NIST Post-Quantum Cryptography standard.
Zewen Ye +5 more
doaj +1 more source

Case Study: Optimization Methods With TVM Hybrid-OP on RISC-V Packed SIMD

IEEE Access
In recent years, considerable research has focused on the use of custom hardware to accelerate deep learning on edge devices. However, the end-to-end flow of deep learning includes preprocessing and postprocessing.
Meng-Shiun Yu +3 more
doaj +1 more source

SIMD parallel MCMC sampling with applications for big-data Bayesian analytics [PDF]

, 2015
Computational intensity and sequential nature of estimation techniques for Bayesian methods in statistics and machine learning, combined with their increasing applications for big data analytics, necessitate both the identification of potential ...
Mahani, Alireza S, Sharabiani, Mansour TA +1 more
core +1 more source

A multiple-SIMD architecture for image and tracking analysis [PDF]

The computational requirements for real-time image based applications are such as to warrant the use of a parallel architecture. Commonly used parallel architectures conform to the classifications of Single Instruction Multiple Data (SIMD), or Multiple ...
Kerbyson, Darren James
core

Factoring integers using SIMD sieves [PDF]

We describe a single-instruction multiple data (SIMD) implementation of the multiple polynomial quadratic sieve integer factoring algorithm. On a 16K MasPar massively parallel computer, the implementation can factor 100 digit integers in a few days.
Dixon, B., Lenstra, Arjen K.
core +1 more source

SIMD-based parallelized rate distortion optimized quantization for AVS3

Dianxin kexue
To improve the coding efficiency of rate-distortion optimization quantization (RDOQ) for the third-generation audio video coding standard (AVS3), a parallelized RDOQ algorithm based on single instruction multiple data (SIMD) was proposed. Firstly, in the
TANG Yixin +5 more
doaj +2 more sources

Specialized Scalar and SIMD Instructions for Error Correction Codes Decoding on RISC-V Processors

IEEE Access
The rapid deployment of Internet-of-Things (IoT) devices for a few years has been impressive, and the progressive deployment of 5G will accelerate things even further.
Mael Tourres +3 more
doaj +1 more source

simd
risc-v
parallel processing