CfP: Workshop on Parallel Computing and Optimization PCO’13

September 25th, 2012

PCO13 is to be held in conjunction with IEEE IPDPS, Boston, USA, May 20-24, 2013. Paper Submission Deadline: December 21, 2012.

The workshop on Parallel Computing and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed computing for difficult combinatorial optimization problems, like 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems and global optimization problems. Emphasis will be placed on new techniques for the solution of these difficult problems like cooperative methods for integer programming problems and polynomial optimization methods. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. Finally, the use of new approaches in parallel computing like GPU or hybrid computing, peer to peer computing and cloud computing will be considered. Application to planning, logistics, manufacturing, inance, telecommunications and computational biology will be considered.

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Accelerating CFD using OpenFOAM with GPUs

September 23rd, 2012

The OpenFOAM CFD Toolbox is a free, open source CFD software package produced by OpenCFD Ltd. Its user base represents a wide range of engineering and science disciplines in both commercial and academic organizations. OpenFOAM has an extensive range of features to solve a wide range of fluid flows and physics phenomenon. OpenFOAM provides tools for all three stages of CFD, preprocessing, solvers, and post processing. Almost all are capable of being run in parallel as standard making it an important resource for a wide range of scientists and engineers using HPC for CFD.

General-purpose Graphics Processing Unit (GPU) technology is increasingly being used to accelerate compute-intensive HPC applications across various disciplines in the HPC community. OpenFOAM CFD simulations can take a significant amount of time and are computationally intensive. Comparing various alternatives for enabling faster research and discovery using CFD is of key importance. SpeedIT libraries from Vratis provide GPU-accelerated iterative solvers that replace the iterative solvers in OpenFOAM.

In order to investigate the GPU-acceleration of OpenFOAM, we simulate the three dimensional lid-driven cavity problem based on the tutorial provided with OpenFOAM. The 3D lid-driven cavity problem is an incompressible flow problem solved using OpenFOAM icoFoam solver. The majority of the computationally intensive portion of the solver is the pressure equation. In the case of acceleration, only the pressure calculation is offloaded to the GPUs. On the CPUs, the PCG solver with DIC preconditioner is used. In the GPU-accelerated case, the SpeedIT 2.1 algebraic multigrid precoditioner with smoothed aggregation (AMG) in combination with the SpeedIT Plugin to OpenFOAM is used.

Webinar: Scaling Soft Matter Physics to a Thousand GPUs and Beyond

September 22nd, 2012

The “Ludwig” lattice Boltzmann fluid dynamics application is a versatile application capable of simulating the hydrodynamics of complex fluids, (e.g. mixtures, surficants, liquid crystals, particle suspensions) to allow cutting-edge research into condensed matter physics. On October 3, Dr. Alan Gray from the University of Edinburgh presents a webinar on his team’s experiences in scaling the application on the Cray XK6 hybrid supercomputer. The presentation will cover:

  • A review of excellent scaling up to O(1000) GPUs
  • Steps taken to maximize performance on each GPU
  • Designing the communication to allow efficient usage of many GPUs in parallel, including the overlapping of several stages using CUDA stream functionality
  • Advanced functionality, including how to include colloidal particles in the simulation while minimizing data transfer overheads

Register at http://www.gputechconf.com/page/gtc-express-webinar.html.

NSF Sponsors Nationwide OpenACC Workshop

September 22nd, 2012

Recognizing the growing interest and demand from NSF researchers for education on GPU computing, leading centers in NSF’s Extreme Science and Engineering Discovery Environment (XSEDE) program are working together to host a free two-day, hands-on workshop to share tips and best practices for accelerating scientific applications on GPUs using OpenACC. More information: http://blogs.nvidia.com/2012/09/u-s-scientists-nsf-to-host-nationwide-gpu-computing-workshop/

Symposium on Personal High-Performance Computing

September 20th, 2012

The Vrije Universiteit Brussel, Erasmus Hogeschool Brussel and Lessius Hogeschool have the pleasure to invite you to a symposium on Personal High-Performance Computing. The symposium aims at bringing together academia and industry to discuss recent advances in using accelerators such as GPUs or FPGAs for speeding up computational-intensive applications. We target single systems such as PCs, laptops or processor boards, hence the name ‘personal’ HPC.

Scientists are encouraged to submit abstracts to be presented at the poster session. All information can be found at https://sites.google.com/site/phpc2012bxl.

From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

September 4th, 2012

Abstract:

In this work, we evaluate OpenCL as aprogramming tool for developing performance-portable applications for GPGPU. While the Khronos group developed OpenCL with programming portability in mind, performance is not necessarily portable. OpenCL has required performance-impacting initializations that do not exist in other languages such as CUDA. Understanding these implications allows us to provide a single library with decent performance on a variety of platforms. We choose triangular solver (TRSM) and matrix multiplication (GEMM) as representative level 3 BLAS routines to implement in OpenCL. We profile TRSM to get the time distribution of the OpenCL runtime system. We then provide tuned GEMM kernels for both the NVIDIA Tesla C2050 and ATI Radeon 5870, the latest GPUs offered by both companies. We explore the benefits of using the texture cache, the performance ramifications of copying data into images, discrepancies in the OpenCL and CUDA compilers’ optimizations, and other issues that affect the performance. Experimental results show that nearly 50% of peak performance can be obtained in GEMM on both GPUs in OpenCL. We also show that the performance of these kernels is not highly portable. Finally, we propose the use of auto-tuning to better explore these kernels’ parameter space using search harness.

(Peng Du, Rick Weber, Piotr Luszczek, Stanimire Tomov, Gregory Peterson, Jack Dongarra, “From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming”, Parallel Computing 38(8):391–407, Aug. 2012. [DOI] [early techreport])

CLU Runtime and Code Generator

August 20th, 2012

The Computing Language Utility (CLU) is a lightweight API designed to help programmers explore, learn, and rapidly prototype programs with OpenCL. This API reduces the complexity associated with initializing OpenCL devices, contexts, kernels and parameters, etc. while preserving the ability to drop down to the lower level OpenCL API at will when programmers wants to get their hands dirty. The CLU release includes an open source implementation along with documentation and samples that demonstrate how to use CLU in real applications. It has been tested on Windows 7 with Visual Studio.

CfP: 3rd International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS12)

August 11th, 2012

This workshop is concerned with the comparison of high-performance computing systems through performance modeling, benchmarking or the use of tools such as simulators. We are particularly interested in research which reports the ability to measure and make tradeoffs in software/hardware co-design to improve sustained application performance. We are also keen to capture the assessment of future systems, for example through work that ensures continued application scalability through peta- and exa-scale systems.

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Virtual OpenCL (VCL) Cluster Platform 1.14 released

August 10th, 2012

The MOSIX group announces the release of the Virtual OpenCL (VCL) cluster platform version 1.14. This version includes the SuperCL extension that allows micro OpenCL programs to run efficiently on devices of remote nodes. VCL provides an OpenCL platform in which all the cluster devices are seen as if they are located in the hosting-node. This platform benefits OpenCL applications that can use many devices concurrently. Applications written for VCL benefit from the reduced programming complexity of a single computer, the availability of shared-memory, multi-threads and lower granularity parallelism, as well as concurrent access to devices in many nodes. With SuperCL, a programmable sequence of kernels and/or memory operations can be sent to remote devices in cluster nodes, usually with just a single network round-trip. SuperCL also offers asynchronous communication with the host, to avoid the round-trip waiting time, as well as direct access to distributed file-systems. The VCL package can be downloaded from mosix.org.

AMD OpenCL Webinar Series – August Line Up

August 9th, 2012

Graphics Core Next Architecture Overview

GCN is Designed to push not only the boundaries of DirectX® 11 gaming, the GCN Architecture is also AMD’s first design specifically engineered for general computing. Equipped with up to 32 compute units (2048 stream processors), each containing a scalar coprocessor, AMD’s 28nm GPUs are more than capable of handling workloads-and programming languages-traditionally exclusive to the processor. Coupled with the dramatic rise of GPU-aware programming languages like C++ AMP and OpenCL™, the GCN Architecture is truly the right architecture for the right time. Participate in this webinar to learn how you can take advantage of this new architecture in your GPGPU programs (North America – August 14, 2012 10AM Pacific Daylight savings Time; India- August 21, 2012, 5:30PM India Standard Time).

Performance Evaluation of AMD APARAPI Using Real World Applications

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