Today Nvidia announced the general availability of CUDA 8 toolkit for GPU developers. “A crucial goal for CUDA 8 is to provide support for the powerful new Pascal architecture, the first incarnation of which was launched at GTC 2016: Tesla P100,” said Nvidia’s Mark Harris in a blog post. “One of NVIDIA’s goals is to support CUDA across the entire NVIDIA platform, so CUDA 8 supports all new Pascal GPUs, including Tesla P100, P40, and P4, as well as NVIDIA Titan X, and Pascal-based GeForce, Quadro, and DrivePX GPUs.”
Search Results for: cuda
Allinea Adds CUDA 8 Support for GPU Developers
September 28, 2016 by
Today Allinea Software announces availability of its new software release, version 6.1, which offers full support for programming parallel code on the Pascal GPU architecture, CUDA 8 from Nvidia. “The addition of Allinea tools into the mix is an exciting one, enabling teams to accurately measure GPU utilization, employ smart optimization techniques and quickly develop new CUDA 8 code that is bug and bottleneck free,” said Mark O’Connor, VP of Product Management at Allinea.
Podcast: CUDA Programming for GPUs
May 28, 2016 by
In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA.”
Video: Three Ways to Debug Parallel CUDA Applications
June 4, 2015 by
“This talk will introduce these three debugging techniques and provide some suggestions on selecting the optimal approach for a variety of debugging scenarios such as hangs, numerical errors, and crashes. Specific examples will be given using the TotalView debugger but the concepts covered may apply to other debugging tools such as GDB and the NVIDIA NSIGHT debugger.”
Allinea Extends Performance Tools to CUDA
March 18, 2015 by
Today Allinea announced CUDA 7 support for its DDT debugger. The news will be welcomed by HPC developers using the company’s Allinea Forge unified programming environment, which includes DDT and the Allinea MAP profiler.
Video: OpenACC Interoperability with CUDA C and Fortran
February 23, 2015 by
“Developed by PGI, Cray, and NVIDIA, the OpenACC directives are a shared vision of how directives can simplify the programming model for accelerators, where each vendor is committed to support a common programming standard.”
Increasing the Throughput of your GPU-enabled Cluster with rCUDA
October 2, 2014 by
“Although the use of GPUs has generalized nowadays, including GPUs in current HPC clusters presents several drawbacks mainly related with increased costs. In this talk we present how the use of remote GPU virtualization may overcome these drawbacks while noticeably increasing the overall cluster throughput. The talk presents real throughput measurements by making use of the rCUDA remote GPU virtualization middleware.”
This Week in HPC: DOE Labs Come Together on Climate and Latest Cuda Escalates ARMs Race
August 22, 2014 by
In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss the ACME collaboration for climate research. In Part 2, they look at the latest Cuda release with with support for 64-bit ARM processors.
Nvidia Releases CUDA 6.5, Now with 64-bit ARM Support
August 20, 2014 by
Today Nvidia released CUDA 6.5, the “latest version of the world’s most pervasive parallel computing platform and programming model.” Available as a free download, version 6.5 of the CUDA Toolkit brings the power of GPU-accelerated computing for the first time to 64-bit ARM platforms.
Get Started Parallel Programming Using CUDA on OS X
August 20, 2014 by
Over at QuantStart, Valerio Restocchi has written up a quick guide for installing CUDA 6.0 on OS X.
