Architecture and Performance Characteristics of Modern High Performance Computers

Author(s):  
Georg Hager ◽  
Gerhard Wellein
1999 ◽  
Vol 7 (3-4) ◽  
pp. 313-326 ◽  
Author(s):  
Jan F. Prins ◽  
Siddhartha Chatterjee ◽  
Martin Simons

Modern dialects of Fortran enjoy wide use and good support on high‐performance computers as performance‐oriented programming languages. By providing the ability to express nested data parallelism, modern Fortran dialects enable irregular computations to be incorporated into existing applications with minimal rewriting and without sacrificing performance within the regular portions of the application. Since performance of nested data‐parallel computation is unpredictable and often poor using current compilers, we investigatethreadingandflattening, two source‐to‐source transformation techniques that can improve performance and performance stability. For experimental validation of these techniques, we explore nested data‐parallel implementations of the sparse matrix‐vector product and the Barnes–Hut n‐body algorithm by hand‐coding thread‐based (using OpenMP directives) and flattening‐based versions of these algorithms and evaluating their performance on an SGI Origin 2000 and an NEC SX‐4, two shared‐memory machines.


Author(s):  
Jin Tao

Statement of the problem. The study of the process of development of the concert style of oboe performance is a relevant area of modern musicology, as evidenced, in particular, by the scientific activity of the International Double Reed Society (IDRS) and works of other researchers on the history of the instrument and its repertoire starting with the second half of the 20 century (Bate, 1975; Bartalozzi, 1967; Reeves & Hooper, 1985; Goossens & Roxburgh, 2001). The concept of “concert oboe” is actualized by V. Martynova (2018, 2019) on the basis of the performance art of the 19th – 20th centuries. As for works for oboe of the early 20th century, in particular by E. Goossens, there are a few studies devoted to the development of modern style of the concert oboe (Del Mar, 1984; Lopez-Pelaez-Casellas & Garcia-Herrera, 2019) and to E. Goossens’s Concerto (Woodworth, 2016). This determines the scientific novelty of this research, which involves genre-style and performance analysis of the Concerto. The purpose of this study is to identify typical genre-stylistic and performance characteristics of E. Goossens’s composition in the context of the development of the concert style of oboe performance. The research methodology is based, first, on the genre and style approach, which is traditional for musicology, in particular, on research on the code of reflexivity (Shapovalova, 2006), and pastoral genre in music (Shapovalova, Chernyavska, Govorukhina & Nikolaievska, 2021). Another methodological dimension is related to the positions of analytical interpretology and principles of performance analysis (Nikolaievska, 2020), which focus on such elements as form-creation, performance dramaturgy, performance poetics. Results and conclusions. The typical genre and stylistic features of E. Goossens’composition refer to the traditions of the romantic concerto (onemovement structure; the presence of a symphonic model of the genre; the use of initial intonation as the main sound symbol of the work; the absence of a single tonal centre; reflexivity; the involvement of pastoral colour as an established image of the instrument). From the viewpoint of performance poetics we have marked the overcoming of the formality of rondeau nature by the continuity of performance form-creation; the presence of such difficulties requiring high performance skills of an oboist as playing of whole-tone scale, high notes and extreme sounds of the registers, polyrhythmic structures, the abundance of virtuoso passages in the composition, the variety of articulation techniques, fast-frequency vibrato, etc., which is crucial in the process of development of the concert style of oboe performance in the early 20th century.


Author(s):  
Yan Li ◽  
Jidong Zhai ◽  
Keqin Li

With the development of high performance computers, communication performance is a key factor affecting the performance of HPC applications. Communication patterns can be obtained by analyzing communication traces. However, existing approaches to generating communication traces need to execute the entire parallel applications on full-scale systems that are time-consuming and expensive. Furthermore, for designers of large-scale parallel computers, it is greatly desired that performance of a parallel application can be predicted at the design phase. Despite previous efforts, it remains an open problem to estimate sequential computation time in each process accurately and efficiently for large-scale parallel applications on non-existing target machines. In this chapter, we will introduce a novel technique for performing fast communication trace collection for large-scale parallel applications and an automatic performance prediction framework with a trace-driven network simulator.


Author(s):  
D. E. Newbury ◽  
R. D. Leapman

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).


2021 ◽  
Author(s):  
Nicole A. Pettingill ◽  
Nikolas S. Zawodny ◽  
Christopher Thurman ◽  
Leonard V. Lopes

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