Category: Computer Science
Solving the Flexible Job Shop Problem on GPU
In this work we examine a model of flexible job shop problem in which for a given operation there is a possibility of a choice of the machine on which this operation will be carried out
Monte-Carlo Methods in Finance Using the Xcelerit SDK
This video demonstrates the benefits of using the Xcelerit platform to efficiently run Monte-Carlo simulations using multi-core CPUs and graphics processing units.
Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters
X-ray scattering is a valuable tool for measuring the structural properties of materials used in the design and fabrication of energy-relevant nanodevices that are key to the reduction of carbon emissions.
On single-walk parallelization of the job shop problem solving algorithms
New parallel objective function determination methods for the job shop scheduling problem are proposed in this paper, considering makespan and the sum of jobs execution times criteria, however, the methods proposed can be applied also to another popular objective functions such as jobs tardiness or flow time
Eric Klein from NVIDIA talks about Kepler
Eric Klein from NVIDIA speaks at Cal Poly in May 2012 about the architectural and CUDA software features available in NVIDIA’s latest GPU technology, Kepler.
CamBlend: an object focused collaboration tool
CamBlend is a new focus-in-context panoramic video collaboration system designed to facilitate the interaction with and around objects in a lightweight, flexible package.
Application of CUDA to accelerate 3D seismogram synthesis for 2.5D model
Seismic survey geometry and parameters play a vital role in exploration of hydrocarbon deposits and seismic prospecting for oil and gas. Multicomponent acquisition, denser shot/receiver geometry and large offset seismic surveys increase the cost of field works.
GPUs are competing FPGA-based image enhancement for specialized cameras
Short lecture by Dr. Reinhard Borst, ELTEC Elektronik AG. It has been delivered at SpectroNet Collaboration Forum Konstanz, 2012.
Algorithmic skeletons for multi-core, multi-GPU systems and clusters
In this paper, we present our skeleton library Muesli, which not only simplifies parallel programming. Additionally, it allows to write a single application that may be executed on a variety of parallel machines ranging from simple multi-core processors with shared memory to clusters of multi-and many-core processors with distributed memory as well as multi-GPU systems and GPU clusters.
Benchmark: Acceleration of OpenFOAM Simulations with SpeedIT library
Now, your OpenFOAM simulations on GPU can be up to 3.5x faster compared to CG and DIC/DILU preconditioners on CPU and up to 1.6x faster if you run GAMG.
