The article on HPC programming languages summarizes the primary characteristics and parameters of modern computing communication. The author of the research study investigates the adequate HPC model, which is Fortran, and verifies its work against the fundamental needs of an individual. Thus, the ultimate goal that is set at the work encompasses finding the “ideal” personal programming language that corresponds to the users’ wants.
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The research was conducted on the basis of rewriting the ordinary high-performance computing languages, according to the standards of readability, maintainability, and verifiability. During the investigation, the human subjects within the programming were regularly tracked.
In general, the primary goal of the scientists, who sustained the study, was to utilize the existing programming language characteristics and to trace a simplification of the codifying processes. In the course of the study, a correspondence of the rewritten programming systems to the original models of computing was inspected. Moreover, the HPC parallelization and performance aspects were emphasized.
According to the findings of the work, a consistent reduction of source-code volume is a direct consequence of changing the primary HPC patterns. The improvement stipulates the computing language elaboration and makes the programs concise and readable. Due to Loh (2010), the Fortran language continues its functioning as one of the most favorable and efficient programming languages.
The general examination of the computing model parameters revealed that reaching an excellent performance is still a challenge for the HPC experts. The underlying problems that concern this standard include memory latency and distorted cache lines appliance.
Besides, it was claimed that HPC parallelization, which combines concurrency and data distributing, faces such problematic issues as costly information exchanges, runtime inefficiencies, and data decomposition. Therefore, the author suggests that the rewritten programming systems have to embrace certain hardware improvements so that to enhance the HPC efficiency.
Due to the outcomes of the study, the HPC source code problems are often stipulated by a general complexity of algorithms. The hardware and software defects, as well as a tendency to turn simple equations into complicated formulas and computations, result in creating huge accounts of data. In the article, Loh (2010) dwells on the possible HPC improvements that refer to code lines decrease by suggesting type inference and stencils elaboration.
The programming model that was developed by the author went through such stages as a specification, verification, and validation. Due to the article, a specification should be evoked by human intention. Concerning verification, it was argued that source codes can not be correlated with a spec. That is why, the innovative programming approach implies replication of Fortran codes. The validation procedure is sustained through a comparison of modification results with the primary variants of codes.
Finally, the reason for the rewritten codes reduction was offered by the author. Therefore, according to Loh (2010), “the original code attempted to fill in “ghost sells” only when their values would be needed” (p. 9). In contrast, the innovative programming system supports filling in all the cells. To sum it up, the author of the article suggests the usage of rewritten systems while devising the large software programs.
Arrays Usage in High-Performance Computing
The modern HPC standards expose array syntax as one of the most evident advantages of high-performance language computing. Due to the various software and hardware drawbacks, the scopes of source codes within the programming languages regularly extend.
The arrays syntax does not allow excessive reiterations and precludes boilerplate evictions in the texts (Loh, 2010, p. 7). Consequently, establishing control over array extensions helps to maintain the measurable volumes of codes, which contributes to the general readability of the programs.
Loops and Arrays in the Ideal HPC Programming Language
The article reveals many innovative concepts and discloses the new HPC scientific facts. For instance, the work acquainted me with the idea of text volumes being dependent on the computational arrays combinations. Thus, the author claims that boilerplates take its roots from the codes extensions.
Specifically, Loh (2010) explains that combinations of arrays are typically complicated by term extensions and elaborated time stepping. Due to the excessive code reiterations, the programming texts turn into sophisticated pieces of information that is hard to handle. In this paper, the author suggests array syntax as a consistent solution to the problem and makes the concept a central point of the high-performance computing programs rewriting.
According to the findings of the work, the loop statements find their appliance in the typical HPC programming language. Mainly, the article introduces the concept of DO loops that control data flows within innovative programming systems. The author of the work argues that such statements ensure excessive codes blocking by automatic data verification. Moreover, it is acknowledged that DO loops work two times more efficiently than array syntax devices.
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Therefore, the article demonstrates the advantages of two primary programming concepts and their roles in innovative HPC rewriting. Moreover, the author dwells on the principal rules of array syntax and DO loops improvement as well as reveals the efficiency of their work in Fortran programming language.
Loh, E. (2010). The ideal HPC programming language. Queue, 8(6), 1-9.