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Writing a concurrent program can be more difficult than writing a sequential program.
The M-Machine supports an incremental approach to parallel programming in which a sequential program is converted in stages.
Multiscalar and trace processors define several processing cores that speculatively execute different parts of a sequential program in parallel.
The traditional algorithm for calculating contributing areas is coded as a sequential program executed on a single processor.
Careless partitioning of a sequential program can result in subtle, hard-to-detect bugs – some of which may not even be reliably repeatable.
For example, a 256-bit AVX register can process four double-precision floating point numbers (64-bit each) in one CPU cycle, which amounts to four times speed-up over a sequential program.
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We describe a reversible stack based virtual machine designed as an execution platform for a sequential programming language used in a formal development environment.
It considers two application categories: sequential programs, where an application is a program written in a sequential programming language such as C, C++, or Java, and parallel programs, where an application is a set of concurrently executing tasks and where partitioning maps some of those tasks to coprocessors.
By default, an OpenMP program is a normal sequential program, except for regions that the programmer explicitly declares to be executed in parallel.
Taken together, these data indicate that wildtype and heterozygous germ cells progress along a coordinated sequential program of erasure and re-establishment of H19 imprints in male germ cells, while in sharp contrast, the erasure and re-establishment of imprints in germ cells that lack Dazl function is aberrant, with both erasure and re-establishment of sex-specific imprints derailed.
The single-instruction-single-data (SISD) classification is equivalent to an entirely sequential program.
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