'Barnes hut' presentation slideshows

Writing Efficient CUDA Programs

Writing Efficient CUDA Programs. Martin Burtscher Department of Computer Science. High-End CPUs and GPUs. Hightechreview.com. Thepcreport.net. Xeon X7550 Tesla C2050 Cores 8 (superscalar) 448 (simple) Active threads 2 per core 48 per core Frequency 2 GHz 1.15 GHz

691 views • 58 slides

Mapping and Scheduling

Mapping and Scheduling. W+A: Chapter 4. Outline. Mapping and Scheduling Static Mapping Strategies Dynamic Mapping Strategies Scheduling. Mapping and Scheduling Models. Basic Models: Program model is a task graph with dependencies

584 views • 36 slides

Galois Performance

Galois Performance. Mario Mendez- Lojo Donald Nguyen. Overview. Galois system is a test bed to explore opts Safe but not fast out of the box Important optimizations Select least transactional overhead Select right scheduling Select appropriate data structure

509 views • 36 slides

Synchronization Transformations for Parallel Computing

Synchronization Transformations for Parallel Computing. Pedro Diniz and Martin Rinard Department of Computer Science University of California, Santa Barbara http://www.cs.ucsb.edu/~{pedro,martin}. Motivation. Parallel Computing Becomes Dominant Form of Computation

437 views • 34 slides

Global Trees: A Framework for Linked Data Structures on Distributed Memory Parallel Systems

Global Trees: A Framework for Linked Data Structures on Distributed Memory Parallel Systems. D. Brian Larkins, James Dinan, Sriram Krishnamoorthy, Srinivasan Parthasarthy, Atanas Rountev, P. Sadayappan. Background. Trees and graphs can concisely represent relationships between data

329 views • 26 slides

Course Outline

Course Outline. Introduction in algorithms and applications Parallel machines and architectures Overview of parallel machines, trends in top-500, clusters, many-cores Programming methods, languages, and environments Message passing (SR, MPI, Java) Higher-level language: HPF

320 views • 22 slides

Energy And Power Characterization of Parallel Programs Running on the Intel Xeon Phi

Energy And Power Characterization of Parallel Programs Running on the Intel Xeon Phi. Joal Wood, Ziliang Zong , Qijun Gu, Rong Ge Email : {jw1772, ziliang , qijun}@ txstate.edu, rong.ge@marquette.edu. The Xeon Phi coprocessor.

340 views • 20 slides

N Body Gravitational Problem

N Body Gravitational Problem. Seminar By Srinivasan Manoharan. Problem. To compute the position of N bodies over a set of Iterations by using the forces that exists between the other bodies. A big mathematical conundrum

254 views • 14 slides

Guang R. Gao Founder ET International Inc Newark, Delaware USA ggao@etinternational

291 views • 14 slides

Load Balancing in Distributed N-Body Simulations

Daniel Blackburn. Load Balancing in Distributed N-Body Simulations. N-Body Simulations. A simulation of a dynamic system of particles under the interaction of a distance mediated force For instance, a simulation of the stars within a cluster or galaxy under the force of gravity.

241 views • 11 slides

Load Balancing in Distributed N-Body Simulations

Daniel Blackburn. Load Balancing in Distributed N-Body Simulations. N-Body Simulations. A simulation of a dynamic system of particles under the interaction of a distance mediated force For instance, a simulation of the stars within a cluster or galaxy under the force of gravity.

132 views • 11 slides