scholarly journals High Performance Computing on New Accelerated Hardware Architectures

2010 ◽  
Vol Special Issue (1) ◽  
pp. 71-79 ◽  
Author(s):  
Marek Błażewicz ◽  
Krzysztof Kurowski ◽  
Bogdan Ludwiczak ◽  
Krystyna Napierała
Author(s):  
Domen Verber

A state-of-the-art and a possible future of High Performance Computing (HPC) are discussed. The steady advances in hardware have resulted in increasingly more powerful computers. Some HPC applications that were years ago only in the domain of supercomputers can nowadays be executed on desktop and mobile computers. Furthermore, the future of computers is in the “Internet-of-things” and cyber-physical systems. There, computers are embedded into the devices such as cars, house appliances, production lines, into our clothing, etc. They are interconnected with each other and they may cooperate. Based on that, a new kind of application emerges, which requires the HPC architectures and development techniques. The primary focus of the chapter is on different hardware architectures for HPC and some particularities of HPC programming. Some alternatives to traditional computational models are given. At the end, some replacements for semiconductor technologies of modern computers are debated.


The size of complex networks introduces large amounts of traversal times that can be tackled by exploiting pervasive multi-core and many-core parallel hardware architectures. However, there is a list of factors that make the design of efficient parallel traversal algorithms for graphs difficult: unstructured problems, data-driven computation, irregular memory access, poor locality, and low computing load. In this chapter, the authors introduce the synergy between Network Science and High Performance Computing and motivate the combined use of multi/many-core heterogeneous computing and Network Science techniques to tackle the above-mentioned challenges and to efficiently traverse the structure of massive real-world graphs.


MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.


2001 ◽  
Author(s):  
Donald J. Fabozzi ◽  
Barney II ◽  
Fugler Blaise ◽  
Koligman Joe ◽  
Jackett Mike ◽  
...  

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