We optimize codes implementing Monte Carlo simulations of spin-glass systems for some multi-core CPU and GPU architectures. We consider both the binary Ising and floating-point Heisenberg spin-glass models in 3 dimensions. We provide performance figures for the Intel Nehalem quad-core and the IBM Cell/BE CPUs and the Nvidia Tesla C1060 GPU; for the binary model we also draw a comparison with the performance of dedicated computers, such as the Janus machine. © 2012 Springer-Verlag
We describe Janus, a massively parallel FPGA-based computer optimized for the simulation of spin gla...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
We describe different implementations of the 3D Heisenberg spin glass model for Graphics Processing ...
We optimize codes implementing Monte Carlo simulations of spin-glass systems for some multi-core CPU...
We implement a Monte Carlo algorithm for spin glass systems and optimize for the Cell-BE processor, ...
Graphics processing units (GPUs) are recently being used to an increasing degree for general computa...
Spin glasses -- theoretical models used to capture several physical properties of real glasses -- ar...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
This paper describes the architecture, the development and the implementation of Janus II, a new gen...
We describe Janus, an application-driven architecture for Monte Carlo simulations of spin glasses. J...
Monte Carlo simulations of the Ising model play an important role in the field of computational stat...
Summary. — Janus is an FPGA-based computer optimized for the simulation of spin glasses or similar c...
We describe the hardwired implementation of algorithms for Monte Carlo simulations of a large class ...
We develop a highly optimized code for simulating the Edwards-Anderson Heisenberg model on graphics ...
We describe Janus, a massively parallel FPGA-based computer optimized for the simulation of spin gla...
We describe Janus, a massively parallel FPGA-based computer optimized for the simulation of spin gla...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
We describe different implementations of the 3D Heisenberg spin glass model for Graphics Processing ...
We optimize codes implementing Monte Carlo simulations of spin-glass systems for some multi-core CPU...
We implement a Monte Carlo algorithm for spin glass systems and optimize for the Cell-BE processor, ...
Graphics processing units (GPUs) are recently being used to an increasing degree for general computa...
Spin glasses -- theoretical models used to capture several physical properties of real glasses -- ar...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
This paper describes the architecture, the development and the implementation of Janus II, a new gen...
We describe Janus, an application-driven architecture for Monte Carlo simulations of spin glasses. J...
Monte Carlo simulations of the Ising model play an important role in the field of computational stat...
Summary. — Janus is an FPGA-based computer optimized for the simulation of spin glasses or similar c...
We describe the hardwired implementation of algorithms for Monte Carlo simulations of a large class ...
We develop a highly optimized code for simulating the Edwards-Anderson Heisenberg model on graphics ...
We describe Janus, a massively parallel FPGA-based computer optimized for the simulation of spin gla...
We describe Janus, a massively parallel FPGA-based computer optimized for the simulation of spin gla...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
We describe different implementations of the 3D Heisenberg spin glass model for Graphics Processing ...