Results 81 to 90 of about 2,024 (196)

Implementing Database Operations Using SIMD Instructions [PDF]

, 2002
Modern CPUs have instructions that allow basic operations to be performed on several data elements in parallel. These instructions are called SIMD instructions, since they apply a single instruction to multiple data elements.
Kenneth A. Ross, Jingren Zhou
core   +1 more source

Radix-2 Multi-Dimensional Transposition-Free Fft Algorithm For Modern Single Instruction Multiple Data (Simd) Architectures

, 2002
Publication in the conference proceedings of EUSIPCO, Toulouse, France ...
openaire   +4 more sources

PERFORMANCE EVALUATION AND RESOURCE OPTIMIZATION OF MULTIPLE SIMD COMPUTER ORGANIZATIONS.

, 1979
Multiprocessor computer systems, which can be used to execute multiple number of single-instruction multiple-data (SIMD) vector jobs, are modeled and analyzed. Such a parallel computer organization usually has multiple control units (CU's) sharing a pool
Hwang, Kai, Ni, Lionel M.
core  

Buckbeak: A 1.2 TFLOPS/W Reconfigurable Vector/Scalar RISC-V Processor for Precision Scalable Near-Sensor Computing in 22-nm FDSOI Technology

IEEE Open Journal of the Solid-State Circuits Society
Near-sensor computing requires the concurrent execution of data-parallel and control-intensive tasks under tight latency and power constraints. Vector processors excel at data-parallel tasks, thanks to their single-instruction multiple-data (SIMD ...
Marco Bertuletti, Amirhossein Kiamarzi, Mattia Sinigaglia, Gianmarco Ottavi, Matteo Perotti, Giuseppe Tagliavini, Luca Benini, Davide Rossi   +7 more
doaj   +1 more source

Comparing SIMD and MIMD Programming Modes

, 2007
The Connection Machine CM-5 supports both SIMD and MIMD programming modes. The SIMD mode is simulated over the MIMD mode. This simulation is likely to lead to a loss of performance in SIMD programs.
Ravikanth Ganesan, Kannan Govindarajan, Min-you Wu   +2 more
core  

DC-SIMD: dynamic communication for SIMD processors [PDF]

, 2008
SIMD (single instruction multiple data)-type processors have been found very efficient in image processing applications, because their repetitive structure is able to exploit the huge amount of data-level parallelism in pixel-type operations, operating ...
Corporaal, H Henk, Fatemi, SH Hamed, Fatemi, S.H., Mesman, B., Frijns, R.M.W., Frijns, RMW Raymond, Corporaal, H., Mesman, B Bart   +7 more
core   +1 more source

VeGen: A Vectorizer Generator for SIMD and Beyond

, 2021
Vector instructions are ubiquitous in modern processors. Traditional compiler auto-vectorization techniques have focused on targeting single instruction multiple data (SIMD) instructions.
Chen, Yishen
core  

From Simd To Distributed Memory Mimd

, 2007
his paper presents a technique that may be used to transform SIMD shared memory parallel s algorithms to MIMD distributed memory algorithms. This technique formulates a sequence of teps to help alter the the global view required of the programmer for ...
C. Nan, C. Schaller
core  

Fast Elliptic Curve Multiplications with SIMD Operations

, 2002
The Single Instruction, Multiple Data (SIMD) architecture enables to compute in parallel on a single processor. The SIMD operations are implemented on some processors such as Pentium 3/4, Athlon, SPARC, and even on smart cards.
Tetsuya Izu, Tsuyoshi Takagi
core   +1 more source

Temporal Correlation Optimization for Accelerated 3D Sparse Convolution in Point Cloud Inference on CPU

Applied Sciences
3D point clouds primarily consist of irregular, sparse data, dominated by background elements. The inherent irregularity of 3D point clouds induces elevated data movement, while the predominance of background points significantly amplifies computational ...
Chen Zhu, Li Chen, Qunsong Ye, Wei Li, Zushuai Xie   +4 more
doaj   +1 more source