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[PDF] Top 20 A pruning algorithm for polycrystalline data in high performance computing

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A pruning algorithm for polycrystalline data in high performance computing

A pruning algorithm for polycrystalline data in high performance computing

... large data reduction is obtained for the price of reasonable approximation ...proposed data pruning pro- cedure is deeply linked to hyperreduction ...As a result, a pruned ... Voir le document complet

22

High Performance Computing linear algorithms for two-phase flow in porous media

High Performance Computing linear algorithms for two-phase flow in porous media

... (1-2) in the industrial framework with large time and space scales, requires High Performance Computing ...used for the approximation of (1-2) in the industrial framework. ... Voir le document complet

8

Performance in population models for count data, part II: a new SAEM algorithm.

Performance in population models for count data, part II: a new SAEM algorithm.

... SAEM algorithm in a non-linear mixed effect modelling framework for count data models, showed satisfactory performance with low bias and high ...precision. For ... Voir le document complet

32

An environment for peer-to-peer high performance computing

An environment for peer-to-peer high performance computing

... workers for HPC ap- plications because the number of peers involved in the computation enlarges but the computational capacity does not increase; furthermore, when communication between peers is frequent ... Voir le document complet

158

The ANTAREX domain specific language for high performance computing

The ANTAREX domain specific language for high performance computing

... as a set of physical parameters ...hardware performance counters which in x86 systems can be read by privilege users, thus creating practical problems for user-space libraries to access ... Voir le document complet

31

High Performance Computing for the Reduced Basis Method. Application to Natural Convection

High Performance Computing for the Reduced Basis Method. Application to Natural Convection

... As in the FE frame- work an automatic mesh partitioning using Gmsh (Chaco/Metis) is computed, while every data associated to the reduced basis (scalars, vectors and dense matrices, parameter space ...are ... Voir le document complet

20

A Mobile Application Offloading Algorithm for Mobile Cloud Computing

A Mobile Application Offloading Algorithm for Mobile Cloud Computing

... cloud computing, offloading mobile ap- plications to close remote servers appears as a straightforward solution to overcome mobile terminals processor and battery ...the high computation capacity of ... Voir le document complet

8

HPCML: A Modeling Language Dedicated to High-Performance Scientific Computing

HPCML: A Modeling Language Dedicated to High-Performance Scientific Computing

... input data, process them and give a ...Backus in the late 1950s for the IBM 704 a precursor of supercomputers, is still the reference of the scientific computing ...is a ... Voir le document complet

7

High Performance by Exploiting Information Locality through Reverse Computing

High Performance by Exploiting Information Locality through Reverse Computing

... the performance improvement is just due to keeping things in ...do a slow memory access, the performance degrades quite a bit, so there is a large benefit from simply putting ... Voir le document complet

9

A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms

A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms

... NP-complete in general [23], [24]. Thus, in the literature, several heuristic scheduling algorithms, such as Opportunistic Load Balancing (OLB) [18], [19], [25], Min- Min [20], [22], and Max-Min [20], [22], ... Voir le document complet

11

Molecular simulations as test beds for bridging high throughput and high performance computing

Molecular simulations as test beds for bridging high throughput and high performance computing

... from High Throughput Computing (HTC) ones enabling the accurate modeling of real-like systems as well as virtual reality simulations based on multi-scale and multi-physics ...(VO) for computational ... Voir le document complet

151

High performance computing of sintering process at particle scale

High performance computing of sintering process at particle scale

... CONCLUSIONS A numerical approach for the sintering simulation by surface and volume diffusion has been ...are in agreement with the predictions given by the analytical models for the neck ... Voir le document complet

5

Tsunami Detection by High Frequency Radar Using a Time-Correlation Algorithm: Performance Analysis Based on Data From a HF Radar in British Columbia

Tsunami Detection by High Frequency Radar Using a Time-Correlation Algorithm: Performance Analysis Based on Data From a HF Radar in British Columbia

... radar data corresponding to different meteo-oceanic conditions were ...(τ;t) for the original radar data, using two times series separated by 30 ...example for a sequence of 25 min of ... Voir le document complet

8

High-Order Compact scheme for High-Performance Computing of stratified rotating flows

High-Order Compact scheme for High-Performance Computing of stratified rotating flows

... generation computing hardware, a scalable numerical method, based on high-order compact scheme, was developed to solve rotating stratified flows in cylindrical annular ...algorithms for ... Voir le document complet

3

OpenCL: A suitable solution to simplify and unify High Performance Computing developments

OpenCL: A suitable solution to simplify and unify High Performance Computing developments

... than a simple OpenCL wrapper. As we have seen in our introduction to OpenCL, the latter stores data that are to be treated on the device into ...the data they contain, they are represented by ... Voir le document complet

19

Message Scheduling for Data Redistribution through High Performance Networks

Message Scheduling for Data Redistribution through High Performance Networks

... Conclusion In order to optimize redistribution time, we have mapped network constraints and communications to a math- ematical model using bipartite ...approximation algorithm and demonstrated their ... Voir le document complet

35

Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters

Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters

... management for datacenters from differ- ent ...TIGER, a thermal- aware technique specifically designed to reduce the cooling cost due to storage systems in ...management in air-cooled server ... Voir le document complet

15

Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters

Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters

... management for datacenters from differ- ent ...TIGER, a thermal- aware technique specifically designed to reduce the cooling cost due to storage systems in ...management in air-cooled server ... Voir le document complet

16

Conceptual and Technical Challenges for High Performance Computing

Conceptual and Technical Challenges for High Performance Computing

... considered for co-processing beside traditional ...is a specialized microprocessor that offloads and accelerates graphics rendering from the central ...primarily a graphics chip, acting as a ... Voir le document complet

24

A Reproducible Accurate Summation Algorithm for High-Performance Computing

A Reproducible Accurate Summation Algorithm for High-Performance Computing

... to a higher number of floating-point operations to be performed; each of them potentially causing a round-off ...with a wider floating-point ...at computing the error that is occurred during ... Voir le document complet

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