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A Data-Flow Soft-Core Processor for Accelerating Scientific Calculation on FPGAs
Joint Authors
Verdoscia, Lorenzo
Giorgi, Roberto
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-16
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
We present a new type of soft-core processor called the “Data-Flow Soft-Core” that can be implemented through FPGA technology with adequate interconnect resources.
This processor provides data processing based on data-flow instructions rather than control flow instructions.
As a result, during an execution on the accelerator of the Data-Flow Soft-Core, both partial data and instructions are eliminated as traffic for load and store activities.
Data-flow instructions serve to describe a program and to dynamically change the context of a data-flow program graph inside the accelerator, on-the-fly.
Our proposed design aims at combining the performance of a fine-grained data-flow architecture with the flexibility of reconfiguration, without requiring a partial reconfiguration or new bit-stream for reprogramming it.
The potential of the data-flow implementation of a function or functional program can be exploited simply by relying on its description through the data-flow instructions that reprogram the Data-Flow Soft-Core.
Moreover, the data streaming process will mirror those present in other FPGA applications.
Finally, we show the advantages of this approach by presenting two test cases and providing the quantitative and numerical results of our evaluations.
American Psychological Association (APA)
Verdoscia, Lorenzo& Giorgi, Roberto. 2016. A Data-Flow Soft-Core Processor for Accelerating Scientific Calculation on FPGAs. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1111994
Modern Language Association (MLA)
Verdoscia, Lorenzo& Giorgi, Roberto. A Data-Flow Soft-Core Processor for Accelerating Scientific Calculation on FPGAs. Mathematical Problems in Engineering No. 2016 (2016), pp.1-21.
https://search.emarefa.net/detail/BIM-1111994
American Medical Association (AMA)
Verdoscia, Lorenzo& Giorgi, Roberto. A Data-Flow Soft-Core Processor for Accelerating Scientific Calculation on FPGAs. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1111994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111994