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As of 2015, versions of the SequenceL compiler generate parallel code in C++ and OpenCL, which allows it to work with most popular programming languages, including C, C++, C#, Fortran, Java, and Python. A platform-specific runtime manages the threads safely, automatically providing parallel performance according to the number of cores available.
(NB. Uses the term Occam transpiler as a synonym for a source-to-source compiler working as a pre-processor that takes a normal occam program as input and derives a new occam source code as output with link-to-channel assignments etc. added to it thereby configuring it for parallel processing to run as efficient as possible on a network of ...
Very long instruction word (VLIW) refers to instruction set architectures that are designed to exploit instruction-level parallelism (ILP). A VLIW processor allows programs to explicitly specify instructions to execute in parallel, whereas conventional central processing units (CPUs) mostly allow programs to specify instructions to execute in sequence only.
Reads and writes can be safely reordered by the compiler as to allow better use of various data movement mechanisms, such as Direct Memory Access(DMA). In addition, alias analysis and dataflow analysis can be simplified [permanent dead link ]. The compiler can then split up code within the sieve block much easier, to exploit parallelism.
The Fortran, C and C++ compilers from The Portland Group also support OpenMP 2.5. GCC has also supported OpenMP since version 4.2. Compilers with an implementation of OpenMP 3.0: GCC 4.3.1; Mercurium compiler; Intel Fortran and C/C++ versions 11.0 and 11.1 compilers, Intel C/C++ and Fortran Composer XE 2011 and Intel Parallel Studio. IBM XL ...
To exploit parallelism that occurs across iterations within a parallel program (loop-level parallelism), the need grew for compilers that can also perform array variable privatization. [3] Most of today's compilers can performing array privatization with more features and functions to enhance the performance of the parallel program in general.
It is a C++ template library with six data-parallel and one task-parallel skeletons, two container types, and support for execution on multi-GPU systems both with CUDA and OpenCL. Recently, support for hybrid execution, performance-aware dynamic scheduling and load balancing is developed in SkePU by implementing a backend for the StarPU runtime ...
PCM/Threaded-C – a C-based package for scheduling continuation-passing-style threads on the CM-5; In April 1994 the three projects were combined and christened "Cilk". The name Cilk is not an acronym, but an allusion to "nice threads" and the C programming language. The Cilk-1 compiler was released in September 1994.