Chris Mason from Acceleware presented this talk at GTC 2016. “This session will focus on real life examples including an RF powered contact lens, a wireless capsule endoscopy, and a smart watch. The session will also outline the basics of the subgridding algorithm along with the GPU implementation and the development challenges. Performance results will illustrate the significant reduction in computation times when using a localized subgridded mesh running on an NVIDIA Tesla GPU.”
The Heterogeneous System Architecture (HSA) Foundation has released the HSA 1.1 specification, significantly enhancing the ability to integrate open and proprietary IP blocks in heterogeneous designs. The new specification is the first to define the interfaces that enable IP blocks from different vendors to communicate, interoperate and collectively compose an HSA system.
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.”
The Flemish Supercomputer Center (VSC) is planning the deployment of a new NEC cluster that will represent Belgium’s largest investment in HPC to date. To help VSC unleash the potential of the system, Allinea software tools will be used to speed up code performance. “We are delighted to be supporting VSC in providing better education to its users around code efficiency,” said David Lecomber, CEO and Founder of Allinea. “The fact of the matter is, without visibility of code performance, researchers cannot get the full value from HPC. By appreciating how their code makes a difference to project delivery, researchers can achieve more for less cost. By underlining this best practice, VSC’s approach is one that is refreshing and makes great economic sense.”
Dr. Marc Snir discusses why Argonne is participating in the OpenHPC Community. “OpenHPC can be a good mechanism to make sure all the pieces of open source software in HPC fit well together. It’s an important initiative that can bring together the HPC open source software community. It can make sure that a full stack of HPC software is available in a useful manner to the user community.”
In this video from the GPU Hackathon at the University of Delaware, attendees tune their code to accelerate their application performance. The 5-day intensive GPU programming Hackathon was held in collaboration with Oak Ridge National Lab (ORNL). “Thanks to a partnership with NASA Langley Research Center, Oak Ridge National Laboratory, National Cancer Institute, National Institutes of Health (NIH), Brookhaven National Laboratory and the UD College of Engineering, UD students had access to the world’s second largest supercomputer — the Titan — to help solve real-world problems.”
In this video from the 2016 Percona Data Performance Conference, Brendan Gregg, Senior Performance Architect from Netflix presents: Linux Systems Performance. “Systems performance provides a different perspective for analysis and tuning, and can help you find performance wins for your databases, applications, and the kernel. However, most of us are not performance or kernel engineers, […]
Parallel programming software developed at the Barcelona Supercomputing Center is being used as part of a successful kickstarter campaign for a maker board with 10 times the power of the Rasberry PI 3. “Developed at BSC, the OmpSs parallel programming model is used on the new UDOO X86 board, which reached its Kickstarter funding target of €100,000 in under seven hours. UDOO X86 combines a powerful maker board and an Arduino 101-compatible platform, all embedded on the same board. It can be used for a range of applications, such as gaming, video streaming, graphic design editing, Internet of Things applications, or as a toolbox for makers.”
Over at the Women in HPC Blog, Daniel Holmes from EPCC writes that the EuroMPI Conference is partnering with Women in HPC to increase diversity in high performance computing.
In this TACC podcast, Joe Stubbs from the Texas Advanced Computing Centter describes potential benefits to scientists of open container platform Docker in supporting reproducibility, NSF-funded Agave API. “As more scientists share not only their results but their data and code, Docker is helping them reproduce the computational analysis behind the results. What’s more, Docker is one of the main tools used in the Agave API platform, a platform-as-a-service solution for hybrid cloud computing developed at TACC and funded in part by the National Science Foundation.”