G. Falcão, Muhsen Owaida, D. Novo, M. Purnaprajna, Nikolaos Bellas, C. Antonopoulos, G. Karakonstantis, A. Burg, P. Ienne
{"title":"Shortening Design Time through Multiplatform Simulations with a Portable OpenCL Golden-model: The LDPC Decoder Case","authors":"G. Falcão, Muhsen Owaida, D. Novo, M. Purnaprajna, Nikolaos Bellas, C. Antonopoulos, G. Karakonstantis, A. Burg, P. Ienne","doi":"10.1109/FCCM.2012.46","DOIUrl":"https://doi.org/10.1109/FCCM.2012.46","url":null,"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 3× faster on FPGAs than on GPUs, the overhead of circuit synthesis often outweighs the benefits of FPGA-accelerated execution.","PeriodicalId":226197,"journal":{"name":"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
João MP Cardoso, J. Teixeira, J. Alves, Ricardo Nobre, P. Diniz, J. Coutinho, W. Luk
{"title":"Specifying Compiler Strategies for FPGA-based Systems","authors":"João MP Cardoso, J. Teixeira, J. Alves, Ricardo Nobre, P. Diniz, J. Coutinho, W. Luk","doi":"10.1109/FCCM.2012.41","DOIUrl":"https://doi.org/10.1109/FCCM.2012.41","url":null,"abstract":"The development of applications for high-performance Field Programmable Gate Array (FPGA) based embedded systems is a long and error-prone process. Typically, developers need to be deeply involved in all the stages of the translation and optimization of an application described in a high-level programming language to a lower-level design description to ensure the solution meets the required functionality and performance. This paper describes the use of a novel aspect-oriented hardware/software design approach for FPGA-based embedded platforms. The design-flow uses LARA, a domain-specific aspect-oriented programming language designed to capture high-level specifications of compilation and mapping strategies, including sequences of data/computation transformations and optimizations. With LARA, developers are able to guide a design-flow to partition and map an application between hardware and software components. We illustrate the use of LARA on two complex real-life applications using high-level compilation and synthesis strategies for achieving complete hardware/software implementations with speedups of 2.5× and 6.8× over software-only implementations. By allowing developers to maintain a single application source code, this approach promotes developer productivity as well as code and performance portability.","PeriodicalId":226197,"journal":{"name":"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121432178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}