Prof.
Erik Bongcam Rudloff
(Swedish University of Agricultural Sciences)
4/23/18, 9:30 AM
Prof.
Erik Bongcam Rudloff
(Swedish University of Agricultural Sciences)
4/23/18, 11:00 AM
Dr
Sirkiä Seija
(Centre fo Scientific Computing - CSC, Finland)
4/23/18, 1:30 PM
This lecture is aimed at R users with very limited or no experience in parallel computing. You will learn how and when taking advantage of parallel computing can help you run your R scripts in less time, when not, and how to tell the difference. More importantly, you will get an idea of how to approach parallelising your task in practice.
We will consider Intel Math kernel library (MKL)...
Sirkiä Seija
(Centre fo Scientific Computing - CSC, Finland)
4/23/18, 3:45 PM
This lecture is aimed at R users with very limited or no experience in parallel computing. You will learn how and when taking advantage of parallel computing can help you run your R scripts in less time, when not, and how to tell the difference. More importantly, you will get an idea of how to approach parallelising your task in practice.
We will consider Intel Math kernel library (MKL)...
Mr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/24/18, 9:00 AM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/24/18, 11:00 AM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/24/18, 2:00 PM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/24/18, 4:00 PM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/25/18, 9:00 AM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/25/18, 11:00 AM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/25/18, 2:00 PM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Apurva Nandan
(Centre fo Scientific Computing - CSC, Finland)
4/25/18, 4:00 PM
With the rapid growth in data volume that is being used in data analysis tasks, it gets more and more challenging for the user to process it using standard methods. Enter Spark, a high-performance distributed computing framework, which allows us to tackle big-data problems by distributing the workload across a cluster of machines.
This two day course discusses the advantage of cloud computing...
Dr
Kimmo Mattila
(Centre fo Scientific Computing - CSC, Finland)
4/26/18, 9:00 AM
Running BLAST in Clusters
NCBI BLAST is one of the most of the most frequently used bioinformatics tools. BLAST answers to the question: “What known sequences are significantly similar to my sample sequence”. Answers to this question is needed in numerous bioinformatics analyses and work-flows.
As the sequence databases keep growing as well as the sizes of the data sets to be analyzed, a HPC...
Dr
Kimmo Mattila
(Centre fo Scientific Computing - CSC, Finland)
4/26/18, 11:00 AM
Running BLAST in Clusters
NCBI BLAST is one of the most of the most frequently used bioinformatics tools. BLAST answers to the question: “What known sequences are significantly similar to my sample sequence”. Answers to this question is needed in numerous bioinformatics analyses and work-flows.
As the sequence databases keep growing as well as the sizes of the data sets to be analyzed, a HPC...
