The next section presents definitions of parallelism metrics that will be used in the paper.
Although the term implicit parallelism has been used in research articles for a few years due to the recent advancements in the microprocessors and compilers but such a categorization is somewhat lacking in textbooks.
The term "parallelism" has also been used in [19] in the limited context of executing the monitor of a temporal logic specification in a separate thread from the program being observed.
Trapped atoms could act as bits in a quantum computer; more broadly, the 3D optical lattice could be used to introduce parallelism into trapping experiments with larger particles.
In these conditions, component-decoder parallelism has to be used rather than subblock parallelism, which suffers from Amdahl's law. Figure 4 Evolution of convergence speed of shuffled decoding with subblock parallelism degree, message passing initialization, random interleaver, R = 6/7, 188 byte frame.
Such an OS is needed to support OpenMP application: OpenMP is a specification for a set of compiler directives, library routines, and environment variables that can be used to specify high-level parallelism in FORTRAN and C/C++ programs.
The Open specifications for Multi-Processing (OpenMP) define a set of compiler directives, library routines, and environment variables that can be used to specify shared memory parallelism in Fortran and C/C++ programs.
A variety of parallel-execution methods can be used; they must be matched to the parallelism available in the application.
GPUs are powerful, multi-core processors that provide a combination of task parallelism, thread parallelism, and data parallelism which can be used for high-throughput decoding of LDPC codes [4, 5].
Two major mechanisms have been used to implement speculation-based parallelism in software, software transactional memory and speculative threads.
