This thesis argues that a modular, source-to-source translation system for distributed-shared memory programming models would be beneficial to the high-performance computing community. It goes on to present a proof-of-concept example in detail, translating between Global Arrays (GA) and Unified Parallel C (UPC). Some useful extensions to UPC are discussed, along with how they are implemented in the proof-of-concept translator
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Rice University's achievements as part of the Center for Programming Models for Scalable Parallel Co...
The high performance computing community has experienced an explosive improvement in distributed-sha...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
This paper describes the design and implementation of a scalable run-time system and an optimizing c...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
Partitioned global address space (PGAS) languages like UPC or Fortran provide a global name space to...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memo...
This paper introduces the goals of the Portable, Scalable, Architecture Independent (PSI) Compiler P...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Rice University's achievements as part of the Center for Programming Models for Scalable Parallel Co...
The high performance computing community has experienced an explosive improvement in distributed-sha...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
This paper describes the design and implementation of a scalable run-time system and an optimizing c...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
Partitioned global address space (PGAS) languages like UPC or Fortran provide a global name space to...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memo...
This paper introduces the goals of the Portable, Scalable, Architecture Independent (PSI) Compiler P...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Rice University's achievements as part of the Center for Programming Models for Scalable Parallel Co...