Browsing by Author "Cadenelli, Nicola"
Now showing items 1-7 of 7
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A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL
(Elsevier, 2020-03-01)
Article
Open AccessConditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ... -
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory
(IEEE, 2018-02-15)
Conference lecture
Open AccessThe emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its ... -
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory
(2018)
Conference report
Open AccessThe emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its ... -
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads
(Elsevier, 2019-05)
Article
Open AccessThe recent upsurge in the available amount of health data and the advances in next-generation sequencing are setting the ground for the long-awaited precision medicine. To process this deluge of data, bioinformatics workloads ... -
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads
(Elsevier, 2019-05)
Article
Open AccessThe recent upsurge in the available amount of health data and the advances in next-generation sequencing are setting the ground for the long-awaited precision medicine. To process this deluge of data, bioinformatics workloads ... -
Enabling genomics pipelines in commodity personal computers with flash storage
(Frontiers Media SA, 2021-04)
Article
Open AccessAnalysis of a patient’s genomics data is the first step toward precision medicine. Such analyses are performed on expensive enterprise-class server machines because input data sets are large, and the intermediate data ... -
SMuFin2: generating and implementing new and more efficient search engines integrated in particular hardware architectures
(Barcelona Supercomputing Center, 2017-05-04)
Other
Open Access
