Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications. B. Sharat Chandra Varma, Kolin Paul, M. Balakrishnan

Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications


Architecture.Exploration.of.FPGA.Based.Accelerators.for.BioInformatics.Applications.pdf
ISBN: 9789811005893 | 122 pages | 4 Mb


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Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications B. Sharat Chandra Varma, Kolin Paul, M. Balakrishnan
Publisher: Springer Singapore



Due to FPGA-, GPU- and CBE-based implementations primarily . Reconfigurable architecture for stream-based applications, EURASIP .. Figure 1: Biocomputing applications benefiting from hardware acceleration. Interfaces perFPGA, also dictates how applications are partitioned multiple hardwareaccelerators, making low-latency communication to be a crucial factor. The alignment of multiple protein (or DNA) sequences is a current problem inBioinformatics. RapidSmith 2: A Framework for BEL-level CAD Exploration on Xilinx FPGAs. This is to certify that the thesis titled Architecture Exploration of FPGA based.Accelerators for Bioinformatics Applications being submitted by B. Souradip Sarkar bioinformatics sequence analysis (SA) applications. Hardware Accelerators for Biocomputing: A Survey. A compact shader for FPGA-based volume rendering accelerators . Series: Springer Series in Advanced Microelectronics, Vol. VPR 5.0: FPGA cad and architecture exploration tools with The input-aware dynamic adaptation of area and performance for reconfigurable accelerator. What nascent application areas could explode the growth of . This article presents an architectural exploration methodology and its . Compute Unified Device Architecture ( CUDA) for the. The architecture of our FPGA implementation is parameterized in terms of . A Parallel And Scalable Multi-FPGA based Architecture for High . Architecture Exploration of FPGA Based Accelerators for BioInformaticsApplications.





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