Tag: CPU
Realtime Computer Vision with OpenCV
OpenCV have made it easier for application developers to use computer vision. They are well-documented and vibrant open source projects that keep growing, and they are being adapted to new computing technologies
High-performance computing tools for the integrated assessment and modelling of social-ecological systems
Integrated spatio-temporal assessment and modelling of complex social–ecological systems is required to address global environmental challenges.
Accelerating finite difference wavefield-continuation depth migration by GPU
We introduce a new hardware architecture, based on which the finite difference wavefield-continuation depth migration can be conducted using the GPU as a CPU coprocessor.
CUDA-MPI-FDTD implementation of Maxwell’s equations in general dispersive media
We present the first MPI-CUDA implementation of Finite-Difference Time-Domain (FDTD) discretization of Maxwell’s equations in dispersive media that uses the MPI API to assign each CPU node its share of the computational domain and GPUs to their corresponding CPU threads
Language identification using multi-core processors
We explore the application of GPUs to speech pattern processing, using language identification (LID) to demonstrate their benefits. Realization of the full potential of GPUs requires both effective coding of predetermined algorithms, and, if there is a choice, selection of the algorithm or technique for a specific function that is most able to exploit the GPU
A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark
We show the performance comparison supported by architecture characteristics narrowing the performance gain of GPUs
Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Computing on GPU with CUDA and ELLPACK-R Sparse Format
Thus, large-scale parallel computation on off-the-shelf desktop-machines, that were previously only possible on supercomputing architectures, can significantly change the way bioinformaticians and biologists deal with their data
Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction
This work presents a hybrid approach that collaboratively combines the GPUs and CPUs available in a computer and applies it to the problem of tomographic reconstruction
Intel Ivy Bridge tested: very faster and power efficient
Intel is preparing for another major transition, similar to the one it brought to light seven years ago. The move will once again be motivated by mobility, and the transition will be away from the giant CPUs that currently power high-end desktops and notebooks to lower power, more integrated SoCs that find their way into tablets and smartphones.
OpenCL Implementation of Particle Swarm Optimization: A Comparison between Multi-core CPU and GPU Performances
We tested our latest parallel implementations of Particle Swarm Optimization (PSO), compiled under OpenCL for both GPUs and multi-core CPUs, and separately optimized for the two hardware architectures.
