SuperB Computing R&D Workshop

Session

Plenary Session: Impact of new CPU architectures (II)

2

10 Mar 2010, 08:30

10. Coding for the GPU: highlights and application examples

Leone Battista Bosi (PG)

10/03/2010, 08:30

Currently, technological solutions being adopted by more manufacturers are bringing to CPU architecture with an even more degree of parallelism, evolving from the multi-core era to the "many-core" era. In this scenario hundreds and, in short, thousands of processing cores are contained within the same processor. A so deep change in architectural paradigm compels an equally deep change in...

11. Exploiting concurrency to speed-up ROOT data analysis: caching, PROOF and multi-threading

Gerry Ganis

10/03/2010, 09:00

Concurrency aims to improve computing performance by executing a set of computations simultaneously, possibly in parallel. Since the advent of today's many-core machines the full exploitation of the available CPU power has been one of the main challenges for high-performance computing software projects, including the HEP ones. However, in HEP data analysis the bottleneck is not (only)...

57. Multi-level Parallel fit algorithms using MPI and CUDA

Karen Tomko

10/03/2010, 09:30

Linux clusters consisting of multi-core commodity-chip based nodes, augmented with GPGPU accelerators are becoming common at computing centers. In this talk we report on some early results of a study to investigate use of this computing paradigm to accelerate the fitting algorithms used in MINUIT. In particular we show that very good speedups are possible for the negative log likelihood (NLL)...

12. Discussion

10/03/2010, 09:50