The many-core revolution brought forward by recent ad-vances in computer architecture has created immense chal-lenges in the writing of parallel programs for High Per-formance Computing (HPC). Development of parallel HPC programs remains an art, and a universal doctrine for syn-chronization, scheduling and execution in general has not been found for many-core/multi-core architectures. These issues are exacerbated by the popularity of traditional exe-cution models derived from the serial-programming school of thought. Previous solutions for parallel programming, such as OpenMP, MPI and similar models, require significant ef-fort from the programmer to achieve high performance. This paper provides an introduction to the Time Iter-ated Depende...
Modern computer architectures have evolved from uni-processor platforms to multi-processor and multi...
Efficiently utilizing the rapidly increasing concurrency of multi-petaflop computing systems is a si...
We study the implementation of data- flow applications on multi-core processor with on-chip shared m...
Traditional programming, execution and optimization techniques have been shown to be inadequate to e...
The recent technological advancements and market trends are causing an interesting phenomenon toward...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Current generation of computing platforms is embracing multi-core and many-core processors to improv...
Abstract: The computer industry has evolved from single-core to many-core architectures to keep offe...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
The trend to develop increasingly more intelligent systems leads directly to a considerable demand f...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
We present a model of multithreaded computation with an emphasis on estimat-ing parallelism overhead...
The two current approaches to increasing computer speed are giving individual processors the ability...
Even fully parallel sharedmemory program sections may perform signicantly be low the ideal speedup o...
Current parallel programming languages support only a narrow range of programming styles; force prog...
Modern computer architectures have evolved from uni-processor platforms to multi-processor and multi...
Efficiently utilizing the rapidly increasing concurrency of multi-petaflop computing systems is a si...
We study the implementation of data- flow applications on multi-core processor with on-chip shared m...
Traditional programming, execution and optimization techniques have been shown to be inadequate to e...
The recent technological advancements and market trends are causing an interesting phenomenon toward...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Current generation of computing platforms is embracing multi-core and many-core processors to improv...
Abstract: The computer industry has evolved from single-core to many-core architectures to keep offe...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
The trend to develop increasingly more intelligent systems leads directly to a considerable demand f...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
We present a model of multithreaded computation with an emphasis on estimat-ing parallelism overhead...
The two current approaches to increasing computer speed are giving individual processors the ability...
Even fully parallel sharedmemory program sections may perform signicantly be low the ideal speedup o...
Current parallel programming languages support only a narrow range of programming styles; force prog...
Modern computer architectures have evolved from uni-processor platforms to multi-processor and multi...
Efficiently utilizing the rapidly increasing concurrency of multi-petaflop computing systems is a si...
We study the implementation of data- flow applications on multi-core processor with on-chip shared m...