Libra Platform is a GPGPU-Heterogeneous Compute API and runtime environment available on Windows, Mac and Linux. Libra Compute API offers performance portability and direct compute access via standard programming environments C/C++, Java, C# and Matlab to execute math operations on top of current and future compute architectures, including the latest GPUs, x86/x64 CPUs and with broad support for compute devices compatible with low level specific APIs – OpenCL, CUDA, OpenGL and standard x86/x64 compute APIs.
Read more in the full announcement.
A 2 day CUDA workshop is taking place in Berlin, Germany on May 5 and 6 2012. Course details, outline and prices are available at http://cuda.eventbrite.com.
Developed in partnership with AMD, this four day course is designed for GPU Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.
Delivered by Acceleware’s Developers, who provide real world experience and examples, the training comprises classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with an AMD Fusion APU for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience. Read the rest of this entry »
SpeedIT 2.0 and the SpeedIT plugin to OpenFOAM have been released. New features include:
- One of the fastest Sparse Matrix Vector Multiplication worldwide.
- Faster Conjugate Gradient and BiConjugate Gradient solvers.
- State-of-the-art CMRS format for storing sparse matrices. The format requires less memory than CRS or HYB (from CUSPARSE and CUSP).
- Faster acceleration in OpenFOAM (Computational Fluid Dynamics).
More information is available at http://speed-it.vratis.com.
The SpeedIt team recently compared and benchmarked the SpMV performance of CUSPARSE 4.0, CUSP 0.2.0 and SpeedIT 2.0 on 23 randomly chosen matrices from University Florida Matrix Collection. Comparisons were done on a Tesla C2050 in single and double precision. The full report is available at http://wp.me/p1ZihD-1.
Partnering with NVIDIA and Microsoft, this four day course is designed for Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.
Delivered by Acceleware’s Developers, who provide real world experience and examples, the training comprises classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with NVIDIA GPUs for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience.
Register before January 13 and receive $250 off your course fee!
Enter promotional code AXTEB2012
Libra SDK is a sophisticated runtime including API, sample programs and documentation for massively accelerating software computations. This introduction tutorial provides an overview and usage examples of the powerful Libra API & math libraries executing on x86/x64, OpenCL, OpenGL and CUDA technology. Libra API enables generic and portable CPU/GPU computing within software development without the need to create multiple, specific and optimized code paths to support x86, OpenCL, OpenGL or CUDA devices. Link to PDF: www.gpusystems.com/doc/LibraGenericComputing.pdf
From a recent press release:
Taipei, November 18, 2011: Zillians, a leading cloud solution provider specializing in high performance computing, GPU virtualization middleware and massive multi-player online game (MMOG) platforms today announced the availability of vGPU – the world’s first commercial virtualization solution for decoupling GPU hardware from software. Traditionally, physical GPUs must reside on the same machine running GPU code. This severely hampers GPU cloud deployment due to the difficulty of dynamic GPU provisioning. With vGPU technology, bulky hardware is no longer a limiting factor. vGPU introduces a thin, transparent RPC layer between local application and remote GPU, enabling existing GPU software to run without any modification on a remote GPU resource. Read the rest of this entry »
EM Photonics has released CULA Sparse, a ready-to-integrate package for solving sparse linear systems. Features include:
- Interfaces: C, C++, Fortran, Matlab, Python
- Platforms: all CUDA platforms. including Linux, Windows, and OS X
- Solvers and preconditioners: BiCG, BiCGStab, CG, GMRES, MINRES and Jacobi, ILU(0)
- Data formats: COO, CSR, CSC in double precision real and complex floating point
- No CUDA programming experience required.
More information is available at http://www.culatools.com/sparse.
The latest release of Symscape’s Caedium (v3.0) now has support for CFD simulations using NVIDIA CUDA GPU devices on Windows and Linux. Caedium is an integrated simulation environment that targets Computational Fluid Dynamics (CFD). The GPU support is provided by Symscape’s ofgpu linear solver library for OpenFOAM®. For more details see: