Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distinction between local and remote memory, simplifying the programming model at some performance cost. Other languages give the programmer more explicit control, offering better potential performance but sacrificing both soundness and ease of use
Many parallel systems offer a simple view of memory: all storage cells are addressed uniformly. Desp...
the date of receipt and acceptance should be inserted later Abstract Locality-aware algorithms over ...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Distributed-memory programs are often written using a global address space: any process can name any...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Distributed memory machines do not provide hardware support for a global address space. Thus program...
User explicitly distributes data User explicitly defines communication Compiler has to do no addit...
We argue that objects that interact in a distributed system need to be dealt with in ways that are i...
Distributed memory parallel architectures support a memory model where some memory accesses are loca...
Recent achievements in high-performance computing significantly narrow the performance gap between s...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to impro...
Many parallel systems offer a simple view of memory: all storage cells are addressed uniformly. Desp...
the date of receipt and acceptance should be inserted later Abstract Locality-aware algorithms over ...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Distributed-memory programs are often written using a global address space: any process can name any...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Distributed memory machines do not provide hardware support for a global address space. Thus program...
User explicitly distributes data User explicitly defines communication Compiler has to do no addit...
We argue that objects that interact in a distributed system need to be dealt with in ways that are i...
Distributed memory parallel architectures support a memory model where some memory accesses are loca...
Recent achievements in high-performance computing significantly narrow the performance gap between s...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to impro...
Many parallel systems offer a simple view of memory: all storage cells are addressed uniformly. Desp...
the date of receipt and acceptance should be inserted later Abstract Locality-aware algorithms over ...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...