High performance P2P computing
High performance Peer-to-Peer distributed computing with application to obstacle problem
... like High Performance Computing ...on P2P networks gives raise to numerous challenges like communication management, scalability, heterogeneity and peer volatility on the overlay network (see ...
9
An environment for peer-to-peer high performance computing
... of P2P computing where questions related to communication man- agement, resource management, scalability, peer volatility and heterogeneity have to be ...distributed computing applications. In ...
158
IoT and the Need for High Performance Computing
... on computing infrastructures in order to cope with incidents in real ...a High Performance Computing (HPC) infrastructure that makes use of clusters, grids and P2P networks via a broker ...
7
High Performance Computing linear algorithms for two-phase flow in porous media
... 1 Introduction We consider the flow of two immiscible compressible phases, the water phase (denoted w) and the gas phase (denoted g), in porous media; each phase is only composed of one component. In order to ...
8
High performance computing (HPC) for the fluidization of particle-laden reactive flows
... parallel computing performance (up to 4,096 cores) of a numerical solver for simulation of dense reactive multiphase reactive flow such as fluidized bed ...
9
High performance computing and simulation: architectures, systems, algorithms, technologies, services, and applications
... specific computing scenario ...cloud computing brings fast-compute clusters within the reach of researchers and users for whom traditional HPC facilities are not a ...scalable high performance ...
6
High Performance Computing for the Reduced Basis Method. Application to Natural Convection
... In this paper, we use recent developments which allow to operate on large-scale parallel infrastructures. The general strategy used is parallel data framework using MPI and thanks to DSEL the MPI communications are ...
20
High-Performance Computing for Data Analytics
... overall performance of the algorithm, a fifth evolution operator is ...overall performance, as the parallel algorithm was already identifying the optimal solution for each bicluster ...
9
Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters
... for details), to the best of our knowledge, no previous work has studied a holistic spatio-temporal thermal model, which is capable of providing more accurate approximations to the datacenter ther- mal map. Moreover, the ...
16
A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms
... good performance in grid computing, but it suffers from poor flexibility and scalability in addition to difficulties to handle unpredictable ...and high utilization without global ...
11
High Performance Monte Carlo Computing with Tripoli®: Present and Future
... - The Extended Parallelism suite is run at each release from 8 to 1000 processors. This special suite has been set to test a new parameterization of the GFSR generator and to develop the Mersenne-Twister. The results of ...
14
Microwave Tomographic Imaging of Cerebrovascular Accidents by Using High-Performance Computing
... The purpose of this work is to solve in parallel the nonlinear inverse problem associated with the time-harmonic Maxwell’s equations, which model electromagnetic waves propagation. The dielectric properties of the brain ...
16
Strategies to implement Edge Computing in a P2P Pervasive Grid
... For conducting this research, we adopted a two-fold approach, combining a conceptual research method with a case study a case study. Indeed, according to research method categories pointed out by Mora et al. (2008), a ...
16
A container-based lightweight fault tolerance framework for high performance computing workloads
... HPC workloads using CRIU and containers.. First work in the HPC domain providing video demonstrations of container migration.. Method does not require modification of application[r] ...
130
A Self-adaptive Communication Protocol with Application to High Performance Peer to Peer Distributed Computing
... Likely, in the case of asynchronous schemes, the asynchronous communication must be implemented in both intra-cluster and inter-cluster data exchanges. We note that asynchronous schemes of computation are fault tolerant ...
8
Adaptive Optimization and Enforcement of Extra-Functional Properties in High Performance Computing: The ANTAREX Project
... II. T HE ANTAREX A PPROACH Figure 1 shows the ANTAREX approach through its tool flow, covering both the design-time and runtime operation. The func- tionality of the target application is expressed through a standard ...
9
Applying Model-Driven Engineering to High-Performance Computing: Experience Report, Lessons Learned, and Remaining Challenges
... Code generation Code execution Figure 4: NabLab workflow code changes on the Modane model. Such a feature requires annotating C++ code to maintain synchronization with the model and our code developers want to keep their ...
20
Lending Club – P2P Lending | Impact Of Loan Description On Loan Performance
... latter. Put another way, there would be something wrong with a model indicating that rating has no impact on default. So it is very encouraging. We would like to give some more details about our parameters. First, we ...
54
Live seeding: Performance bounds of seeders for P2P live streaming
... todays high speed Internet access are asymmetric DSLs connections that are not designed to handle P2P traffic and offer relatively low upload capacity, with typical uplink/downlink ratios between 1/4 and ...
11
Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters
... same performance, which is very close to the theoretical lower ...or high range, the critical speeds of the jobs are reduced, since thermal management becomes essential to maintaining the temperature ...the ...
15