Parallelization of sequential programs for distributed memory machines generally involves non-local modifications to the program code. Thus, for large applications, it may be very time-consuming even to experiment with different parallelization strategies for only relatively small computational kernels. TOP2 is a tool suite developed at KFA/ZAM supporting partial parallelization of large applications for distributed memory multiprocessors, especially Intel iPSC/860 and Intel Paragon. It allows the user to experiment with different parallelization strategies on the basis of individual subroutines and to incrementally parallelize his application
The efficient development of multi-threaded software has, for many years, been an unsolved problem i...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Programming for parallel systems and in particular, multicomputers, is still uncomfortable and ineff...
Parallelization of sequential application programs for distributed memory machines generally involve...
Parallelization of sequential programs for distributed memory machines generally involves non-local ...
TOP2 is a tool suite that aids users of parallel systems with distributed memory in porting existing...
TOP2 is a tool suite that aids users of parallel systems with distributed memory in porting existing...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
This chapter discusses the code parallelization environment, where a number of tools that address th...
An extensible machine architecture is devised to efficiently support a parallel reduction model of c...
[[abstract]]Parallel compilers analyze sequential programs, in particular their loops, to detect hid...
Abstract. In this paper, we present ParaPART, a parallel version of a mesh partitioning tool, called...
Distributed Memory Multicomputers (DMMs) such as the IBM SP-2, the Intel Paragon and the Thinking Ma...
The efficient development of multi-threaded software has, for many years, been an unsolved problem i...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Programming for parallel systems and in particular, multicomputers, is still uncomfortable and ineff...
Parallelization of sequential application programs for distributed memory machines generally involve...
Parallelization of sequential programs for distributed memory machines generally involves non-local ...
TOP2 is a tool suite that aids users of parallel systems with distributed memory in porting existing...
TOP2 is a tool suite that aids users of parallel systems with distributed memory in porting existing...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
This chapter discusses the code parallelization environment, where a number of tools that address th...
An extensible machine architecture is devised to efficiently support a parallel reduction model of c...
[[abstract]]Parallel compilers analyze sequential programs, in particular their loops, to detect hid...
Abstract. In this paper, we present ParaPART, a parallel version of a mesh partitioning tool, called...
Distributed Memory Multicomputers (DMMs) such as the IBM SP-2, the Intel Paragon and the Thinking Ma...
The efficient development of multi-threaded software has, for many years, been an unsolved problem i...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Programming for parallel systems and in particular, multicomputers, is still uncomfortable and ineff...