Activities

• Statistical Analysis for Post-Genomic Data: Parallel Computing with R @ EPCC

  Activity: Participating in or organising an event types › Participation in workshop, seminar, course

• One-day workshop between SPRINT and CRUK

  Activity: Academic talk or presentation types › Invited talk

• Parallel computing with SPRINT and R

  Activity: Other activity types › Types of External academic engagement - Research and Teaching at External Organisation

• Introduction to Parallel processing in R using SPRINT

  Activity: Other activity types › Types of External academic engagement - Research and Teaching at External Organisation

• University of Wales, Swansea

  Activity: Visiting an external institution types › Research and Teaching at External Organisation

• Statistical Analysis for Post-Genomic Data: Parallel Computing with R @ EPCC

  Activity: Participating in or organising an event types › Participation in workshop, seminar, course

Research outputs

• Embedded systems for global e-Social Science: Moving computation rather than data

  Research output: Contribution to journal › Article

• SPRINT: taking biomedical analysis from the desktop to supercomputers and the cloud

  Research output: Other contribution

• SPRINT: more runners, fewer hurdles

  Research output: Other contribution

• SPRINT v1.0.4 Software Release

  Research output: Non-textual form › Software

• Exploiting Parallel R in the Cloud with SPRINT

  Research output: Contribution to journal › Article

• SPRINT v1.0.5 Software Release: SPRINT 1.0.5 - November 2013

  Research output: Non-textual form › Software

• SPRINT v1.0.6 Software Release

  Research output: Non-textual form › Software

• Using SPRINT and parallelised functions for analysis of large data on multi-core Mac and HPC platforms

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• SPRINT v1.0.7 Software Release

  Research output: Non-textual form › Software

• Parallel classification and feature selection in microarray data using SPRINT

  Research output: Contribution to journal › Article

• Parallel Optimisation of Bootstrapping in R

  Research output: Working paper

• Mastering Parallel Programming with R: Master the robust features of R parallel programming to accelerate your data science computations

  Research output: Book/Report › Book