Matches in SemOpenAlex for { <https://semopenalex.org/work/W4394999> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4394999 abstract "There is a growing trend to use coprocessors to offload and accelerate domain-specific applications in order to obtain significant performance improvement and energy/power reductions. Two important coprocessor components in the heterogeneous system are the GPU and F-PGA. GPU (graphics processing unit) is increasingly used as a data-parallel coprocessor for general computations. The newest GPU has a much larger number of cores (compared to CPU) and very high peak FLOPS. FPGA (field programmable gate array), on the other hand, allows users to customize, at fine-grain level, the computational data path and memory hierarchy according to the exact need of the applications. FPGA excels in integer operations and bit-level operations. The thesis starts with several coprocessor acceleration examples for our focus application domains: the first domain is on VLSICAD algorithms and the second is on computational medical imaging. We detail application acceleration examples in the domains including lithography simulation for IC manufacturing, medical image reconstruction using compressive sensing, and medical image registration using fluid models. Both GPU-accelerated versions and FPGA-accelerated versions have been implemented. Based on these implementations, we then analyze the performance and energy trade-offs, the interaction between the diverse application requirements and a spectrum of hardware systems, and how those domain-specific coprocessor acceleration case studies further bring us insights for domain-specific architecture innovations. In the end, we showcase an example for collaborative execution on the heterogeneous platform. Different scheduling policies are needed to optimize performance or energy. The thesis concludes as we present reusable architecture templates and realizations for futuristic accelerator-rich CMPs." @default.
- W4394999 created "2016-06-24" @default.
- W4394999 creator A5016776689 @default.
- W4394999 creator A5068931638 @default.
- W4394999 date "2012-01-01" @default.
- W4394999 modified "2023-09-27" @default.
- W4394999 title "Coprocessor acceleration for domain-specific computing" @default.
- W4394999 hasPublicationYear "2012" @default.
- W4394999 type Work @default.
- W4394999 sameAs 4394999 @default.
- W4394999 citedByCount "0" @default.
- W4394999 crossrefType "journal-article" @default.
- W4394999 hasAuthorship W4394999A5016776689 @default.
- W4394999 hasAuthorship W4394999A5068931638 @default.
- W4394999 hasConcept C117896860 @default.
- W4394999 hasConcept C121332964 @default.
- W4394999 hasConcept C13164978 @default.
- W4394999 hasConcept C149635348 @default.
- W4394999 hasConcept C173608175 @default.
- W4394999 hasConcept C2778119891 @default.
- W4394999 hasConcept C2779851693 @default.
- W4394999 hasConcept C41008148 @default.
- W4394999 hasConcept C42935608 @default.
- W4394999 hasConcept C459310 @default.
- W4394999 hasConcept C74650414 @default.
- W4394999 hasConcept C86111242 @default.
- W4394999 hasConceptScore W4394999C117896860 @default.
- W4394999 hasConceptScore W4394999C121332964 @default.
- W4394999 hasConceptScore W4394999C13164978 @default.
- W4394999 hasConceptScore W4394999C149635348 @default.
- W4394999 hasConceptScore W4394999C173608175 @default.
- W4394999 hasConceptScore W4394999C2778119891 @default.
- W4394999 hasConceptScore W4394999C2779851693 @default.
- W4394999 hasConceptScore W4394999C41008148 @default.
- W4394999 hasConceptScore W4394999C42935608 @default.
- W4394999 hasConceptScore W4394999C459310 @default.
- W4394999 hasConceptScore W4394999C74650414 @default.
- W4394999 hasConceptScore W4394999C86111242 @default.
- W4394999 hasLocation W43949991 @default.
- W4394999 hasOpenAccess W4394999 @default.
- W4394999 hasPrimaryLocation W43949991 @default.
- W4394999 hasRelatedWork W1971404838 @default.
- W4394999 hasRelatedWork W2028331283 @default.
- W4394999 hasRelatedWork W2061433738 @default.
- W4394999 hasRelatedWork W2119443090 @default.
- W4394999 hasRelatedWork W2540183059 @default.
- W4394999 hasRelatedWork W2553532705 @default.
- W4394999 hasRelatedWork W2775089661 @default.
- W4394999 hasRelatedWork W2785176761 @default.
- W4394999 hasRelatedWork W2792521483 @default.
- W4394999 hasRelatedWork W2895598941 @default.
- W4394999 hasRelatedWork W2899659640 @default.
- W4394999 hasRelatedWork W2952928793 @default.
- W4394999 hasRelatedWork W2964862330 @default.
- W4394999 hasRelatedWork W2965937195 @default.
- W4394999 hasRelatedWork W3008218889 @default.
- W4394999 hasRelatedWork W3010939152 @default.
- W4394999 hasRelatedWork W3046157103 @default.
- W4394999 hasRelatedWork W3120085269 @default.
- W4394999 hasRelatedWork W3213784803 @default.
- W4394999 hasRelatedWork W2110202147 @default.
- W4394999 isParatext "false" @default.
- W4394999 isRetracted "false" @default.
- W4394999 magId "4394999" @default.
- W4394999 workType "article" @default.