culatools.com
Partners « CULA
http://www.culatools.com/about-us/partners
GPU Accelerated Linear Algebra. At EM Photonics, partnerships are all about win-win, long-lasting relationships that allow us to bring more value to our clients. Through interactions we have had with our CULA users, we have learned that the use of GPUs for general purpose computing is a growing trend, but still a fairly new effort to many. Most companies harnessing the power of GPUs to accelerate their applications often need custom-built hardware systems and complex integration services. Whether our Com...
culatools.com
Press Releases « CULA
http://www.culatools.com/about-us/press-releases
Thank you for checking out our Press Releases section. Here you will find all announcements from EM Photonics that are related to CULA and GPU computing. We also make product announcements via our forums. Under News) and blog. So please take a moment to check those sources as well. For press inquiries, please use our contact form. November 8, 2011. EM Photonics Releases CULA Sparse. September 14, 2011. Microway's GPU-based WhisperStation Now Shipping with CULA. May 27, 2011. May 4, 2011.
culatools.com
Downloads « CULA
http://www.culatools.com/downloads
GPU Accelerated Linear Algebra. The CULA libraries downloads are divided into two separate categories. Please select the product you wish to download. Provides accelerated implementations of the LAPACK and BLAS libraries for dense linear algebra. Contains routines for systems solvers, singular value decompositions, and eigenproblems. Provides tools necessary to rapidly solve large sparse systems using iterative methods. Multiple algorithms, preconditioners, and data storage formats are supported.
atcomimaging.com
Company | ATCOM
http://www.atcomimaging.com/company
Skip to main content. EM Photonics is located in Newark, DE, and has been providing high-performance and SWaP-sensitive products to the market for over a decade. We cater primarily to the image processing community with our ATCOM family of products, but also have offerings in High Performance Computing (HPC), Supercomputing, GPU system designs, FPGA system designs, and computer performance consulting. A contact form can be found on our company website at: www.emphotonics.com. 51 E Main St. Jeremy P. ...
culatools.com
About Us « CULA
http://www.culatools.com/about-us
GPU Accelerated Linear Algebra. Headquartered in Newark, Delaware, EM Photonics. Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA GPUs are designed with the Compute Unified Device Architecture (CUDA) to enable them to perform non-graphics tasks like linear algebra computation.
culatools.com
Sparse « CULA
http://www.culatools.com/sparse
GPU Accelerated Linear Algebra. Is a GPU-accelerated library. For linear algebra that provides iterative solvers for sparse systems. Offering a capability set that is unmatched in a ready-to-integrate library. With many solvers and preconditioners to choose from, you have the power to choose the solution that is best for you. Best of all, it is easy to use, with no complicated callback interfaces and a straightforward configuration. Double-precision real and complex. Compressed Sparse Row (CSR).
culatools.com
Introducing the CULA Sparse Demo « CULA
http://www.culatools.com/blog/2011/11/29/introducing-the-cula-sparse-demo
Introducing the CULA Sparse Demo. We are very pleased to announce that we have recently released a free demo for CULA Sparse. This demo is manifested in a standalone, command line driven program with which you can choose your options and see the performance for a particular routine. All solvers and most features that are provided by CULA Sparse are supported. IterativeBenchmark solver=cg preconditioner=jacobi A=myfile.mtx b=ones tolerance=1e-5. Download the CULA Sparse demo. Laquo; Batched Operations.
gcl.cis.udel.edu
Global Computing Lab (GCLab) at UD
https://gcl.cis.udel.edu/news.php
April 5, 2016: Our talk at GTC 2016. Our group presented a talk on "Exploring Scalable Implementations of Triangle Enumeration in Graphs of Diverse Densities: Apache Spark vs. GPUs" at GTC 2016. Congratualtions Stephen and Travis! March 30, 2016: Paper accepted at HPDC 2016. March 13, 2016: Dr. Taufer presented at ACS in San Deigo. March 3, 2016: Paper accepted at ISC-HPC16. Our paper on "Resource Management for Running HPC Applications in Container Clouds" was accepted at the International Supercomputin...
