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Improvement of Heterogeneous Systems Efficiency Using Self-Configurable FPGA-based Computing

Melnyk, Anatolity; Melnyk, Viktor
Fonte: Universidade Carlos III de Madrid Publicador: Universidade Carlos III de Madrid
Tipo: info:eu-repo/semantics/publishedVersion; info:eu-repo/semantics/bookPart; info:eu-repo/semantics/conferenceObject
Publicado em /11/2014 Português
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57.876353%
Computer systems performance is is being improved today using two major approaches: general-purpose computers computing power increase (creation of multicore processors, multiprocessor computer systems, supercomputers), and adaptation of the computer hardware to the executed algorithm (class of algorithms). Last approach often provides application of the ASIC-based and FPGA-based hardware accelerators, also called reconfigurable, and is characterized by better performance / power consumption ratio and lower cost as compared to the general-purpose computers of equivalent performance. However, such systems have typical problems. The ASIC-based accelerators: 1) are effective for certain classes of algorithms only and 2) algorithms and software require adaptation for effective application. The FPGA-based accelerators and reconfigurable computer systems (that use FPGAs as a processing unit): 1) in the process of writing require a special program to perform computing tasks balancing between the general-purpose computer and FPGAs; 2) require designing the application-specific processor soft-cores; and 3) are effective for certain classes of problems only, for which application-specific processor soft-cores were previously developed. In this paper...

Chameleon C2HDL Design Tool In Self-Configurable Ultrascale Computer Systems Based On Partially Reconfigurable FPGAs

Melnyk, Anatoliy; Melnyk, Viktor; Tsyhylyk, Lyubomyr
Fonte: Universidade Carlos III de Madrid Publicador: Universidade Carlos III de Madrid
Tipo: info:eu-repo/semantics/publishedVersion; info:eu-repo/semantics/bookPart; info:eu-repo/semantics/conferenceObject
Publicado em /10/2015 Português
Relevância na Pesquisa
57.77987%
The FPGA-based accelerators and reconfigurable computer systems based on them require designing the applicationspecific processors soft-cores and are effective for certain classes of problems only, for which these soft-cores were previously developed. In Self-Configurable FPGA-based Computer Systems the challenge of designing the application-specific processors soft-cores is solved with use of the C2HDL tools, allowing them to be generated automatically. In this paper, we study the questions of the self-configurable computer systems efficiency increasing with use of the partially reconfigurable FPGAs and Chameleonc C2HDL design tool, corresponding to the goals of the project entitled "Improvement of heterogeneous systems efficiency using self-configurable FPGA-based computing" which is a part of the NESUS action. One of the features of the Chameleonc C2HDL design tool is its ability to generate a number of application-specific processors soft-cores executing the same algorithm that differ by the amount of FPGA resources required for their implementation. If the self-configurable computer systems are based on partially reconfigurable FPGAs, this feature allows them to acquire in every moment of its operation such a configuration that will provide an optimal use of its reconfigurable logic at a given level of hardware multitasking.; Proceedings of: Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Poland)...