2012 Symposium on Application Accelerators in High Performance Computing 2012
DOI: 10.1109/saahpc.2012.9
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FPGA-Accelerated Isotope Pattern Calculator for Use in Simulated Mass Spectrometry Peptide and Protein Chemistry

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Cited by 3 publications
(3 citation statements)
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“…Even so, at our center we have had much documented success with our FPGA‐centric cluster, Novo‐G , consisting of nearly 400 Stratix II and Stratix IV FPGAs from Altera. Our work so far on application acceleration in bioinformatics , image processing , and financial domains has focused on problems that were challenging to accelerate on a single FPGA but easy to replicate across the cluster. With our recent addition of Stratix V FPGAs, we have extended our Novo‐G infrastructure to target communication‐intensive problems and applications that would benefit from FPGA acceleration.…”
Section: Introductionmentioning
confidence: 99%
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“…Even so, at our center we have had much documented success with our FPGA‐centric cluster, Novo‐G , consisting of nearly 400 Stratix II and Stratix IV FPGAs from Altera. Our work so far on application acceleration in bioinformatics , image processing , and financial domains has focused on problems that were challenging to accelerate on a single FPGA but easy to replicate across the cluster. With our recent addition of Stratix V FPGAs, we have extended our Novo‐G infrastructure to target communication‐intensive problems and applications that would benefit from FPGA acceleration.…”
Section: Introductionmentioning
confidence: 99%
“…Even so, at our center we have had much documented success with our FPGA-centric cluster, Novo-G [9, 10], consisting of nearly 400 Stratix II and Stratix IV FPGAs from Altera. Our work so far on application acceleration in bioinformatics [11][12][13], image processing [14-16], and financial [17] domains has focused on problems that were challenging to accelerate on a single FPGA but easy to replicate across the cluster. With our recent addition of Stratix V FPGAs, we have extended our Novo-G infrastructure to target communication-intensive problems and applications that would benefit from FPGA acceleration.In order to efficiently accelerate communication-intensive apps on reconfigurable hardware, we provide a multidimensional backend network that connects to high-speed transceivers on each Stratix V FPGA, enabling high-bandwidth, low-latency communication among the FPGAs.…”
mentioning
confidence: 99%
“…FPGA-based devices are especially used in particle 117 colliders for high-energy physics (HEP) [31], gamma 118 radiation spectroscopy, real vision imaging and many other 119 types of reconfigurable high performance virtual 120 instrumentation [32]. Although FPGA based devices offer 121 real-time data handling capability of large data without any 122 lag, other than in the fields of nanosecond pulse generation 123 [33], computational chemistry [34] and simulated mass 124 spectroscopy (MS) [35], the application of a µC system with 125 FPGA in analytical chemistry to the best of authors' 126 knowledge, has not been presented in the analytical 127 literature.…”
mentioning
confidence: 99%