Researchers in industry academia are invited to submit their latest research results to the “Reconfigurable and GPU Computing” track at the 9th ACS/IEEE (pending approval) International Conference on Computer Systems and Applications (AICCSA 2011). The conference website is http://www.aiccsa.org. Deadline for submission is Nov. 8, 2010.

Recofigurable & GPGPU topics include:

• Algorithms and mathematical applications
• Languages and system software
• Hardware implementation and supporting technologies
• Theoretical models and performance estimation
• Simulation environments and prototyping
• Case studies and comparisons of real-life technologies
• Run time reconfiguration
• Energy efficiency
• Architectural issues and tradeoffs
• Hybrid GPU/reconfigurable systems
• Hardware accelerators

ACUSim vortex shedding

From a recent press release:

ACUSIM Software, Inc., a leader in computational fluid dynamics (CFD) technology and solutions, today announced the immediate availability of AcuSolve™ 1.8, the latest version of ACUSIM’s leading general-purpose, finite-element based CFD solver. ACUSIM will demonstrate AcuSolve 1.8 during two free webinars, taking place at 9:30 a.m. – 10:30 a.m. ET and 6:30 p.m. – 7:30 p.m. ET, on Oct. 26, 2010, at http://www.acusim.com/html/events.html.

Used by designers and research engineers with all levels of expertise, AcuSolve is highly differentiated by its accelerated speed, robustness, accuracy and multiphysics/multidisciplinary capabilities. Contributing to its robustness is the product’s Galerkin/Least-Square (GLS) finite element formulation and novel iterative linear equation solver for the fully coupled equation system. The combination of these two powerful technologies provides a highly stable and efficient solver, capable of handling unstructured meshes with tight boundary layers automatically generated from complex industrial geometries. Read the rest of this entry »

IMPETUS Afea is proud to announce the launch of IMPETUS Afea Solver (version 1.0).

The IMPETUS Afea Solver is a non-linear explicit finite element tool. It is developed to predict large deformations of structures and components exposed to extreme loading conditions. The tool is applicable to transient dynamics and quasi-static loading conditions. The primary focus of the IMPETUS Afea Solver is accuracy, robustness and simplicity for the user. The number of purely numerical parameters that the user has to provide as input is kept at a minimum. The IMPETUS Afea Solver is adapted to GPU technology; utilizing the computational force of a potent graphics card can considerably speed up your calculations.

IMPETUS Afea Solver Video on YouTube

For more information or requests please contact sales@impetus-afea.com

Michael Feldman of HPCWire writes:

MATLAB users with a taste for GPU computing now have a perfect reason to move up to the latest version. Release R2010b adds native GPGPU support that allows user to harness NVIDIA graphics processors for engineering and scientific computing. The new capability is provided within the Parallel Computing Toolbox and Distributed Computing Server.

Full details of  MATLAB Release R1020b are available on the Mathworks site.  Information on other numerical packages accelerated using NVIDIA CUDA is available on NVIDIA’s site.

[Editor's Note: as pointed out in the comments by John Melanakos (from Accelereyes),  it may be worth checking out how MATLAB 2010b GPU support currently compares to Accelereyes Jacket.]

This webinar series is designed to help advance your OpenCL programming knowledge. Experts from AMD will cover both beginning and advanced topics starting with the basics of parallel and heterogeneous computing and an introduction to OpenCL, then progressing to more advanced topics such as performance optimization techniques and real world case studies.

This webinar describes how heterogeneous computing fits into the parallel computing paradigm, what problems it solves and what opportunities it presents. Read the rest of this entry »

Abstract:

We present benchmark results of optimized dense matrix multiplication kernels for a Cypress GPU. We write general matrix multiply (GEMM) kernels for single (SP), double (DP) and double-double (DDP) precision. Our SGEMM and DGEMM kernels show 73% and 87% of the theoretical performance of the GPU, respectively. Currently, our SGEMM and DGEMM kernels are fastest with one GPU chip to our knowledge. Furthermore, the performance of our matrix multiply kernel in DDP is 31 Gflop/s. This performance in DDP is more than 200 times faster than the performance in DDP on single core of a recent CPU (with mpack version 0.6.5). We describe our GEMM kernels with main focus on the SGEMM implementation since all GEMM kernels share common programming and optimization techniques. While a conventional wisdom of GPU programming recommends us to heavily use shared memory on GPUs, we show that texture cache is very effective on the Cypress architecture.

(N. Nakasato: “A Fast GEMM Implementation on a Cypress GPU”, 1st International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 10) November 2010. A sample program is available at http://github.com/dadeba/dgemm_cypress)

HOOMD-blue performs general-purpose particle dynamics simulations on a single workstation, taking advantage of NVIDIA GPUs to attain a level of performance equivalent to many cores on a fast cluster. Flexible and configurable, HOOMD-blue is currently being used for coarse-grained molecular mynamics simulations of nano-maertials, glasses, and surfactants, dissipative particle dynamics simulations (DPD) of polymers, and crystallization of metals.

HOOMD-blue 0.9.1 adds many new features. Highlights include:

• 10 to 50 percent faster performance over 0.9.0
• DPD (Dissipative Particle Dynamics) capability
• EAM (Embedded Atom Method) capability
• Removed limitation on number of exclusions
• Support for compute 2.1 devices (such as the GTX 460)
• Support for CUDA 3.1
• and more

HOOMD-blue 0.9.1 is available for download under an open source license. Check out the quick start tutorial to get started, or check out the full documentation to see everything it can do.

Thrust v1.3, an open-source template library for CUDA applications, has been released. Modeled after the C++ Standard Template Library (STL), Thrust brings a familiar abstraction layer to the realm of GPU computing.

Version 1.3 adds several new features, including:

• a state-of-the-art sorting implementation, recently featured on Slashdot.
• performance improvements to stream compaction and reduction
• robust error reporting and failure detection
• support for CUDA 3.2 and gf104-based GPUs
• search algorithms
• and more!

Get started with Thrust today! First download Thrust v1.3 and then follow the online quick-start guide. Refer to the online documentation for a complete list of features. Many concrete examples and a set of introductory slides are also available. Read the rest of this entry »

Seattle, WA, 4 October, 2010 – Insilicos today announced the company has received a grant applying GPU computing to the role of epistasis in human disease. Funding comes from the National Human Genome Research Institute, part of the National Institutes of Health.

Epistasis refers to the interaction of two or more genes and is thought to play a major role in the genetics of susceptability to disease. One way to detect epistasis is through computationally-intensive statistical algorithms, such as those employed in data mining. Insilicos plans to exploit the concurrency inherent in these algorithms by using commodity graphics processors. Read the rest of this entry »

In cooperation with NVIDIA, empulse GmbH is hosting a free CUDA workshop on October 26th in Cologne. An introduction to CUDA programming will be presented, including real examples and scenarios. The main objective of the workshop is to provide an understanding of the basic programming paradigms for the creation of CUDA applications, as well as the underlying hardware architecture.

The seminar is geared towards beginners in CUDA programming. A solid, basic knowledge of C/C++ programming is required. The workshop will be presented in English. Details are available at the empulse website.