Intel just announced its new brand for “Many Integrated Core Architecture” chips, Intel Xeon Phi, with the coprocessors for workstations, data centers and even supercomputers. Available by the end of 2012, the first generation of Intel Xeon Phi product family will complement the existing Intel Xeon.
We present the implementation and performance of a new gravitational N-body tree-code that is specifically designed for the graphics processing unit (GPU). All parts of the tree-code algorithm are executed on the GPU.
In this work, we present a tentative step toward the efficient implementation of polarizable molecular mechanics force fields with GPU acceleration.
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.
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.
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
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