TheIdeal HPC Programming Language
TheIdeal HPC Programming Language
Thesestudies began with programming languages but the attention shifted toother topics. Such languages, notably the FORTRAN that is arguablythe primary HPC language, proved to be remarkably adequate. However,challenges in programming originate mostly from other factors. Theapplications that use the modern FORTRAN took into account theassociated and programmability such as verifiability, readability,and maintainability, which are important considerations. The sectionthat the program did is work with the Sun HPCs productivity groupthat quantifies programmer in general, which mainly pays attention onthe output of rewriting activities examine written HPC programs thatfocused on causing source-bloat. The specific HPC test codes that areused here are CG, BT, MG, and NPBs GTC the plasma fusingapplication and finally the hydrodynamics SPPM code (Eugene, 2010)
Fromthe author’s feedback, GTC had the least reduction that alreadyused relative modern FORTRAN with relatively small MPI, parallelism,and computation and I/O format. The single CPU performance involveparallelization. Such a code when examined revealed familiar HPCfeatures for example loop unrolling, cache blocking, vectorization,multithreading, and data distribution. While it may be argued that itis possible to limit the code volume dramatically, it is intolerableon the overall cost of performance. ADI method on the other hand usessolving partial differential mathematical equation. Computationally,it can resist propagation of data only along the X axis. HPCprogrammer that has simpler concurrency also could benefit fromhardware improvements (Eugene, 2010)
Inregard to algorithm complexity, parallelization and performance arenot the only forces that trigger large source codes. Again, anotherissue involves ideas that computational scientist wishes to expressbe at a low level. Generally, computational scientists are known toremove high-frequency components such as discretize grids, integratessophisticated time step, and introduces crucial approximations,transforms coordinates, expand terms, and dissipative terms andunwinding difference. HPC code sometimes implements capabilities thatcould be better given by tools. These include debugging code,checking point, and performance instrumentation. However, mostprogrammers have avoided syntax since its implementation is immaturein many compilers (Eugene, 2010).
Inhigh-performance computing, syntax can be used to enhance theperformance by reflecting workarounds in source codes to transientthe bugs or offer limitation in the compilers. For example, theFORTRAN array syntax that has been found to having allowed enhancedperformances by avoiding a number of instances where it allowsimmature compilers. Program priorities could also force deadlineproject force software to be fast written. However, a lot ofimpediment written styles could force programs is longer and thusmore difficult to study and understand (Yang & Guo, 2006)
Oneconcept about arrays is that it expresses computational rules. Thisis because modern FORTRAN that has array syntax is more expressivewhen integrated with optional arguments, generic interfaces,recursive subroutines, array-valued functions, and MODULEs (Eugene,2010)
Onthe other hand, the loops concept has been extensively used in HPCrather than the use of locks. Loops have used clusters of commoditycomputers which have resulted to these computers turning toprice-performer winners. In addition, loops can be nested or iteratedto be unbalanced. Its counts and processor counts may not be knownuntil the runtime. Without the loop, static analysis alone could notbalance computational judge or loads balance between fine-grained andcourse-grained parallelism (Eugene, 2010).
Eugene,L. (June 01, 2010) . Queue, 8, 6,30-38.
Yang,L. T., & Guo, M. (2006) High-performance computing: Paradigm andinfrastructure. Hoboken, NJ: Wiley-Interscience