A bridging model for parallel computation
Communications of the ACM
NestStep: Nested Parallelism and Virtual Shared Memory for the BSP Model
The Journal of Supercomputing
Principles of Object-Oriented Modeling and Simulation with Modelica 2.1
Principles of Object-Oriented Modeling and Simulation with Modelica 2.1
Parallel Scientific Computation: A Structured Approach Using BSP and MPI
Parallel Scientific Computation: A Structured Approach Using BSP and MPI
Tlib-a library to support programming with hierarchical multi-processor tasks
Journal of Parallel and Distributed Computing
Concurrency and Computation: Practice & Experience - Compilers for Parallel Computers
Optimizing locality and scalability of embedded Runge--Kutta solvers using block-based pipelining
Journal of Parallel and Distributed Computing
Towards a bulk-synchronous distributed shared memory programming environment for grids
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
ACM SIGARCH Computer Architecture News
Automatic parallelization of object oriented models executed with inline solvers
PVM/MPI'07 Proceedings of the 14th European conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
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Many parallel computing applications are used for simulation of complex engineering applications and/or for visualization. To handle their complexity, there is a need for raising the level of abstraction in specifying such applications using high level mathematical modeling techniques, such as the Modelica language and technology. However, with the increased complexity of modeled systems, it becomes increasingly important to use today's and tomorrow's parallel hardware efficiently. Automatic parallelization is convenient, but may need to be combined with easy-to-use methods for parallel programming. In this context, we propose to combine the abstraction power of Modelica with support for shared memory bulk-synchronous parallel programming including nested parallelism (NestStepModelica), which is both flexible (can be mapped to many different parallel architectures) and simple (offers a shared address space, structured parallelism, deterministic computation, and is deadlock-free).We describe NestStepModelica and report on first results obtained with a prototype implementation.