A Simulator for Large-Scale Parallel Computer Architectures

A Simulator for Large-Scale Parallel Computer Architectures

Efficient design of hardware and software for large-scale parallel execution requires detailed understanding of the interactions between the application, computer, and network. The authors have developed a macroscale simulator (SST/macro) that permits the coarse-grained study of distributed-memory applications. In the presented work, applications using the Message Passing Interface (MPI) are si...

A parallel quantum computer simulator

Large-Scale Parallel Computing of Cloud Resolving Storm Simulator

A sever thunderstorm is composed of strong convective clouds. In order to perform a simulation of this type of storms, a very fine-grid system is necessary to resolve individual convective clouds within a large domain. Since convective clouds are highly complicated systems of the cloud dynamics and microphysics, it is required to formulate detailed cloud physical processes as well as the fluid ...

SIMCAN: a SIMulator framework for computer architectures and storage networks

This paper presents an OMNeT-based Framework to simulate large complex storage networks, with its corresponding underlying subsystems (I/O, Networking, etc.). With this Framework, custom environments can be configured and deployed on a flexible and easy way. The most interesting features of this Framework are its flexibility and scalability, so the simulation of distributed storage environments...

Design of a Simulator for Large-Scale Distributed Shared-Memory Cache-Coherent Architectures

As the scale and the complexity of parallel computer systems grow rapidly, the study of interactions between application algorithms and parallel architectures becomes more important. Execution-driven simulation under realistic workloads proves to be an accurate and eecient technique for studying the performance of computer systems. However, direct-execution simulation of shared-memory cache-coh...