Shortening design time through multiplatform simulations with a portable OpenCL golden-model: The LDPC decoder case
dc.creator | Falcao, G. | en |
dc.creator | Owaida, M. | en |
dc.creator | Novo, D. | en |
dc.creator | Purnaprajna, M. | en |
dc.creator | Bellas, N. | en |
dc.creator | Antonopoulos, C. D. | en |
dc.creator | Karakonstantis, G. | en |
dc.creator | Burg, A. | en |
dc.creator | Ienne, P. | en |
dc.date.accessioned | 2015-11-23T10:26:27Z | |
dc.date.available | 2015-11-23T10:26:27Z | |
dc.date.issued | 2012 | |
dc.identifier | 10.1109/FCCM.2012.46 | |
dc.identifier.isbn | 9780769546995 | |
dc.identifier.uri | http://hdl.handle.net/11615/27407 | |
dc.description.abstract | Hardware designers and engineers typically need to explore a multi-parametric design space in order to find the best configuration for their designs using simulations that can take weeks to months to complete. For example, designers of special purpose chips need to explore parameters such as the optimal bit width and data representation. This is the case for the development of complex algorithms such as Low-Density Parity-Check (LDPC) decoders used in modern communication systems. Currently, high-performance computing offers a wide set of acceleration options, that range from multicore CPUs to graphics processing units (GPUs) and FPGAs. Depending on the simulation requirements, the ideal architecture to use can vary. In this paper we propose a new design flow based on Open CL, a unified multiplatform programming model, which accelerates LDPC decoding simulations, thereby significantly reducing architectural exploration and design time. Open CL-based parallel kernels are used without modifications or code tuning on multicore CPUs, GPUs and FPGAs. We use SOpen CL (Silicon to Open CL), a tool that automatically converts Open CL kernels to RTL for mapping the simulations into FPGAs. To the best of our knowledge, this is the first time that a single, unmodified Open CL code is used to target those three different platforms. We show that, depending on the design parameters to be explored in the simulation, on the dimension and phase of the design, the GPU or the FPGA may suit different purposes more conveniently, providing different acceleration factors. For example, although simulations can typically execute more than 3x faster on FPGAs than on GPUs, the overhead of circuit synthesis often outweighs the benefits of FPGA-accelerated execution. © 2012 IEEE. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84864914132&partnerID=40&md5=28625d7ebc98a60da6b976764862bd5d | |
dc.subject | design space exploration | en |
dc.subject | FPGAs | en |
dc.subject | GPUs | en |
dc.subject | LDPC decoding | en |
dc.subject | parallel computing | en |
dc.subject | simulation tools | en |
dc.subject | Acceleration factors | en |
dc.subject | Bit-Width | en |
dc.subject | Circuit synthesis | en |
dc.subject | Complex algorithms | en |
dc.subject | Data representations | en |
dc.subject | Design parameters | en |
dc.subject | Design spaces | en |
dc.subject | Design time | en |
dc.subject | Graphics processing units | en |
dc.subject | Hardware designers | en |
dc.subject | High-performance computing | en |
dc.subject | LDPC decoder | en |
dc.subject | Low density parity check | en |
dc.subject | Multi core | en |
dc.subject | Multi-platform | en |
dc.subject | New design | en |
dc.subject | Programming models | en |
dc.subject | Communication systems | en |
dc.subject | Computer graphics | en |
dc.subject | Computer programming | en |
dc.subject | Computer software selection and evaluation | en |
dc.subject | Computers | en |
dc.subject | Decoding | en |
dc.subject | Design | en |
dc.subject | Field programmable gate arrays (FPGA) | en |
dc.subject | Image coding | en |
dc.subject | Parallel architectures | en |
dc.subject | Parallel processing systems | en |
dc.subject | Program processors | en |
dc.subject | Computer simulation | en |
dc.title | Shortening design time through multiplatform simulations with a portable OpenCL golden-model: The LDPC decoder case | en |
dc.type | conferenceItem | en |
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