Goals of and open problems in high-performance heterogeneous computing

Howard Jay Siegel; John K. Antonio; Richard C. Metzger; Min Tan; Yan Alexander Li

doi:10.1117/12.200804

31 January 1995 Goals of and open problems in high-performance heterogeneous computing

Howard Jay Siegel, John K. Antonio, Richard C. Metzger, Min Tan, Yan Alexander Li

Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995) https://doi.org/10.1117/12.200804
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States

Abstract

Ideally, a heterogeneous computing (HC) environment, is a well-orchestrated and coordinates suite of high-performance machines that provides support for computationally intensive applications with diverse computing requirements. Such an HC system includes a heterogeneous suite of machines, high-speed interconnections, interfaces, operating systems, communication protocols, and programming environments. HC is the effective use of these diverse hardware and software components to meet the distinct and varied computational requirements of a given application. Implicit in this concept of HC is the idea that subtasks with different machine architectural requirements are embedded in the applications executed by the HC system. Two types of HC systems, mixed-mode machines and mixed-machine systems, are discussed. The goals of and open problems in HC are overviewed.

Citation Download Citation

Howard Jay Siegel, John K. Antonio, Richard C. Metzger, Min Tan, and Yan Alexander Li "Goals of and open problems in high-performance heterogeneous computing", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); https://doi.org/10.1117/12.200804

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