Browsing by Author "Polo Bardés, Jordà"
Now showing items 1-11 of 11
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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 ... -
Adaptive MapReduce scheduling in shared environments
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Conference report
Open AccessIn this paper we present a MapReduce task scheduler for shared environments in which MapReduce is executed along with other resource-consuming workloads, such as transactional applications. All workloads may potentially ... -
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 ... -
Disaggregating non-volatile memory for throughput-oriented genomics workloads
(Springer, 2018-12)
Conference lecture
Open AccessMassive exploitation of next-generation sequencing technologies requires dealing with both: huge amounts of data and complex bioinformatics pipelines. Computing architectures have evolved to deal with these problems, ... -
Enabling distributed key-value stores with low latency-impact snapshot support
(2013)
Conference report
Open AccessCurrent distributed key-value stores generally provide greater scalability at the expense of weaker consistency and isolation. However, additional isolation support is becoming increasingly important in the environments ... -
Multi-constraint scheduling of MapReduce workloads
(Universitat Politècnica de Catalunya, 2014-07-15)
Doctoral thesis
Open AccessIn recent years there has been an extraordinary growth of large-scale data processing and related technologies in both, industry and academic communities. This trend is mostly driven by the need to explore the increasingly ... -
Performance evaluation of microservices architectures using containers
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Open AccessMicroservices architecture has started a new trend for application development for a number of reasons: (1) to reduce complexity by using tiny services; (2) to scale, remove and deploy parts of the system easily; (3) to ... -
SMuFin2: generating and implementing new and more efficient search engines integrated in particular hardware architectures
(Barcelona Supercomputing Center, 2017-05-04)
Other
Open Access -
Topology-aware GPU scheduling for learning workloads in cloud environments
(Association for Computing Machinery (ACM), 2017-11)
Conference lecture
Open AccessRecent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things. Multi-GPU ...
