Results 161 to 170 of about 2,024 (196)

FPGA architecture based on OpenCL for studying the acoustic backscattering by an immersed tube. [PDF]

Heliyon
Hadji M, Elhanaoui A, Skouri R, Agounad S.   +3 more
europepmc   +1 more source

Cache-efficient and vectorized parallel dynamic programming for RNA folding. [PDF]

PLoS One
Gruzewski M, Palkowski M.
europepmc   +1 more source

Accelerating k -mer-based sequence filtering

Martayan I, Vandamme L, Constantinides B, Cazaux B, Paperman C, Limasset A.   +5 more
europepmc   +1 more source

Accelerating whole-genome alignment in the age of complete genome assemblies

Chandra G, Vasimuddin M, Misra S, Jain C.   +3 more
europepmc   +1 more source

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SIMD, Single Instruction Multiple Data

2004
The single instruction, multiple data (SIMD) mode is the simplest method of parallelism and now becoming the most common. In most cases this SIMD mode means the same as vectorization. Ten years ago, ve ctor computers were expensive but reasonably simple to program.
Wesley Petersen, Peter Arbenz
openaire   +3 more sources

A high performance FFT library with single instruction multiple data (SIMD) architecture

2011 International Conference on Electronics, Communications and Control (ICECC), 2011
Fast Fourier Transform (FFT) is the basis of Digital Signal Processing (DSP). In this paper, a high performance FFT library using radix-2 decimation in frequency (DIF) algorithm is presented which is well suited for SIMD architecture. SIMD architecture microprocessors, such as Intel and AMD, allow parallel floating point operations on contiguous data ...
Wang Xu, Zhang Yan, Ding Shunying
openaire   +3 more sources

A radix-2 FFT algorithm for Modern Single Instruction Multiple Data (SIMD) architectures

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
Modern Single Instruction Multiple Data (SIMD) microprocessor architectures allow parallel floating point operations over four contiguous elements in memory. The radix-2 FFT algorithm is well suited for modern SIMD architectures after the second stage (decimation-in-time case).
openaire   +3 more sources

A high-performance and low-power 32-bit multiply-accumulate unit with single-instruction-multiple-data (SIMD) feature

IEEE Journal of Solid-State Circuits, 2002
A high-performance and low-power 32-bit multiply-accumulate unit (MAC) is described in this paper. The last mixed-length encoding scheme used in the MAC leverages the advantage of a 16-bit encoding scheme without adding extra delay to the faster four-stage Wallace tree of a 12-bit encoding scheme. With this new encoding scheme, one-cycle throughput for
Yuyun Liao, David B. Roberts
openaire   +3 more sources

Single-Instruction-Multiple-Data Instruction-Set-Based Heat Ranking Optimization for Massive Network Flow

Electronics (Switzerland), 2023
In order to cope with the massive scale of traffic and reduce the memory overhead of traffic statistics, the traffic statistics method based on the Sketch algorithm has become a research hotspot for traffic statistics.
Lingling Tan, Yongyue Wang, Junkai Yi
exaly   +2 more sources

SIMD (Single Instruction, Multiple Data) Machines

2011
Jack Dongarra, Piotr Luszczek, Felix Wolf, Jesper Larsson Träff, Patrice Quinton, Hermann Hellwagner, Martin Fränzle, Christian Lengauer, Luis H Ceze, Kei Hiraki, Rolf Riesen, Arthur B. Maccabe, John Feo, Kamesh Madduri, Tanguy Risset, Maleq Khan, V. S. Anil Kumar, Madha V. Marathe, Paula E. Stretz, Sandhya Dwarkadas, Laxmikant V. Kalé, Edgar Solomonik, Michael Bader, Hans-Joachim Bungartz, Miriam Mehl, Thomas Huckle, Matous Sedlacek, David A Bader, Guojing Cong, Anshul Gupta, Matthias Müller, Brian Whitney, Robert Henschel, Kalyan Kumaran, Josep Torrellas, Lawrence Rauchwerger, Eric Polizzi, Markus Püschel, Franz Franchetti, Yevgen Voronenko, Frederica Darema, Ryan Newton, Amol Ghoting, Konstantin Makarychev, Xiaoye Sherry Li, James Demmel, John Gilbert, Laura Grigori, Meiyue Shao, Wen mei Hwu, David A. Bader, Guojing Cong, José Flich, Sudhakar Yalamanchili, Michael L. Scott, Jaroslaw Zola, Srinivas Aluru, Srinivas Aluru, James R. Reinders   +58 more
openaire   +3 more sources