High Performance Reconfigurable Computing
Reconfigurable tiles of computing-in-memory SRAM architecture for scalable vectorization
... Memory Computing IMC and NMC concepts have been introduced recently and pro- pose different kind of data-centric ...a high data parallelism (all words active) to achieve these gains, as presented in [7, ...
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IoT and the Need for High Performance Computing
... Manufacturing Reconfigurable conveyors can easily adapt to tasks ...surface. Reconfigurable conveyors can also cope with ...distributed reconfigurable smart conveyors, the Smart Blocks project aims ...
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DRC 2 : Dynamically Reconfigurable Computing Circuit based on Memory Architecture
... the computing speed, while not increasing overall power (and area), is to use alternative non- Von Neumann architectures ...energy-efficient computing also requires re-configurability since rising chip ...
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EPICURE: A partitioning and co-design framework for reconfigurable computing
... architecture Reconfigurable computing is still a very active and promising field of research ...engineered high performance devices but could fall short when faced with real world ...
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High performance computing (HPC) for the fluidization of particle-laden reactive flows
... INTRODUCTION Dilute and dense particle-laden reactive flows are encountered in a wide range of industrial applications such as coal combustion, catalytic polymerization or uranium fluoration. The numerical modeling with ...
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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 ...
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High Performance Computing linear algorithms for two-phase flow in porous media
... the domain Ω, and initial conditions on the pressure and on the saturation. The approximation of the solution to (1-2) in the industrial framework with large time and space scales, requires High ...
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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 ...
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Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters
... sufficiently high, the cross interference among the servers as well as the temporal correlation of the servers’ temperature will prevent the jobs from being executed continuously under such high ...
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A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms
... Other works focus on the minimization of the makespan, which is defined as the maximum completion time of all tasks [18], [19], [20], [21], [22]. It is known that task scheduling is NP-complete in general [23], [24]. ...
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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 ...
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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 ...
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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 ...
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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 ...
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On the use of models for high-performance scientific computing applications: an experience report
... The current work opens the way to more exciting studies. One direction would be to enrich the current model with non- functional information related, for instance, to uncertainty characterizations of some calculus, ...
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On the use of models for high-performance scientific computing applications: an experience report
... 7.1 Mainstream programming solutions For more than half a century, the Fortran language has been the reference in HPC. Even though C++ , Python or even Java are gaining interest in the scientific community, Fortran 90 is ...
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Adaptive Optimization and Enforcement of Extra-Functional Properties in High Performance Computing: The ANTAREX Project
... Keywords—High Performance Computing, Autotuning, Adaptivity, DSL, Compilers, Energy Efficiency ...for High Performance Computing systems is an extremely challenging problem, even ...
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Multi-scale problems, high performance computing and hybrid numerical methods
... scalar grid fits on a single GPU, up to resolutions of 512 3 , a target toy configuration where computational times on CPU and GPU would be similar, consist of a 128 3 flow resolution running on 8 CPUs together with a ...
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High performance Peer-to-Peer distributed computing with application to obstacle problem
... There are also some situations where a given problem can be solved by using any combination of computational schemes. In this latter case, the user can leave the system to freely choose communication mode according to ...
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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] ...
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